CRAN Package Check Results for Package tiledb

Last updated on 2022-05-22 01:51:40 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.13.0 152.38 140.59 292.97 ERROR
r-devel-linux-x86_64-debian-gcc 0.13.0 135.52 127.85 263.37 OK
r-devel-linux-x86_64-fedora-clang 0.13.0 449.18 NOTE
r-devel-linux-x86_64-fedora-gcc 0.13.0 454.77 OK
r-devel-windows-x86_64 0.13.0 287.00 331.00 618.00 NOTE
r-patched-linux-x86_64 0.13.0 135.77 137.29 273.06 ERROR
r-release-linux-x86_64 0.13.0 137.14 136.77 273.91 ERROR
r-release-macos-arm64 0.13.0 149.00 NOTE
r-release-macos-x86_64 0.13.0 210.00 NOTE
r-release-windows-x86_64 0.13.0 287.00 331.00 618.00 NOTE
r-oldrel-macos-arm64 0.13.0 143.00 NOTE
r-oldrel-macos-x86_64 0.13.0 209.00 NOTE
r-oldrel-windows-ix86+x86_64 0.13.0 155.00 10.00 165.00 ERROR

Check Details

Version: 0.13.0
Check: tests
Result: ERROR
     Running 'tinytest.R' [32s/48s]
    Running the tests in 'tests/tinytest.R' failed.
    Complete output:
     >
     > if (requireNamespace("tinytest", quietly=TRUE)) {
     +
     + ## Set a seed to make the test deterministic
     + set.seed(42)
     +
     + ## R makes us to this
     + Sys.setenv("R_TESTS"="")
     +
     + ## there are several more granular ways to test files in a tinytest directory,
     + ## see its package vignette; tests can also run once the package is installed
     + ## using the same command `test_package(pkgName)`, or by director or file
     + tinytest::test_package("tiledb")
     + }
    
     test_arrayschema.R............ 0 tests
     test_arrayschema.R............ 0 tests
     test_arrayschema.R............ 0 tests
     test_arrayschema.R............ 0 tests
     test_arrayschema.R............ 0 tests
     test_arrayschema.R............ 0 tests
     test_arrayschema.R............ 0 tests
     test_arrayschema.R............ 0 tests
     test_arrayschema.R............ 0 tests
     test_arrayschema.R............ 1 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 1 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 1 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 1 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 1 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 1 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 2 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 2 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 3 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 4 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 5 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 5 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 6 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 7 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 8 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 9 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 10 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 10 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 10 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 10 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 10 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 10 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 10 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 10 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 11 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 11 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 12 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 13 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 14 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 15 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 15 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 16 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 17 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 18 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 19 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 20 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 21 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 21 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 22 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 23 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 24 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 25 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 26 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 26 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 27 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 28 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 28 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 28 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 28 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 29 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 29 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 30 tests <1b>[0;32mOK<1b>[0m <1b>[0;34m0.3s<1b>[0m
    
     test_arrayschemaevolution.R... 0 tests
     test_arrayschemaevolution.R... 0 tests
     test_arrayschemaevolution.R... 0 tests
     test_arrayschemaevolution.R... 0 tests
     test_arrayschemaevolution.R... 0 tests
     test_arrayschemaevolution.R... 0 tests
     test_arrayschemaevolution.R... 0 tests
     test_arrayschemaevolution.R... 0 tests
     test_arrayschemaevolution.R... 0 tests
     test_arrayschemaevolution.R... 0 tests
     test_arrayschemaevolution.R... 0 tests
     test_arrayschemaevolution.R... 0 tests
     test_arrayschemaevolution.R... 0 tests
     test_arrayschemaevolution.R... 0 tests
     test_arrayschemaevolution.R... 1 tests <1b>[0;32mOK<1b>[0m
     test_arrayschemaevolution.R... 2 tests <1b>[0;32mOK<1b>[0m
     test_arrayschemaevolution.R... 2 tests <1b>[0;32mOK<1b>[0m
     test_arrayschemaevolution.R... 2 tests <1b>[0;32mOK<1b>[0m
     test_arrayschemaevolution.R... 2 tests <1b>[0;32mOK<1b>[0m
     test_arrayschemaevolution.R... 2 tests <1b>[0;32mOK<1b>[0m
     test_arrayschemaevolution.R... 2 tests <1b>[0;32mOK<1b>[0m
     test_arrayschemaevolution.R... 3 tests <1b>[0;32mOK<1b>[0m
     test_arrayschemaevolution.R... 4 tests <1b>[0;32mOK<1b>[0m <1b>[0;34m0.9s<1b>[0m
    
     test_arrowio.R................ 0 tests
     test_arrowio.R................ 0 tests
     test_arrowio.R................ 0 tests
     test_arrowio.R................ 0 tests
     test_arrowio.R................ 0 tests
     test_arrowio.R................ 0 tests
     test_arrowio.R................ 0 tests <1b>[0;36m28ms<1b>[0m [Exited at #12: No 'arrow' package.]
    
     test_attr.R................... 0 tests
     test_attr.R................... 0 tests
     test_attr.R................... 0 tests
     test_attr.R................... 0 tests
     test_attr.R................... 0 tests
     test_attr.R................... 1 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 1 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 2 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 3 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 4 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 5 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 5 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 6 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 6 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 7 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 7 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 7 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 8 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 9 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 10 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 11 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 11 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 12 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 13 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 13 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 14 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 14 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 15 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 15 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 17 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 18 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 18 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 18 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 18 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 18 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 18 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 18 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 19 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 19 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 19 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 19 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 19 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 19 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 19 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 19 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 19 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 19 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 19 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 19 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 19 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 19 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 19 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 19 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 19 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 19 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 20 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 20 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 20 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 20 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 21 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 21 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 22 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 23 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 24 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 24 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 25 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 25 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 26 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 26 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 26 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 26 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 26 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 26 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 26 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 26 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 26 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 26 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 26 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 26 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 27 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 28 tests <1b>[0;32mOK<1b>[0m <1b>[0;34m0.7s<1b>[0m
    
     test_config.R................. 0 tests
     test_config.R................. 0 tests
     test_config.R................. 0 tests
     test_config.R................. 0 tests
     test_config.R................. 1 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 1 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 2 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 3 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 4 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 5 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 6 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 6 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 6 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 7 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 7 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 8 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 8 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 9 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 9 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 10 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 10 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 11 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 12 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 12 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 12 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 13 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 13 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 13 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 13 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 13 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 13 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 13 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 13 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 14 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 14 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 15 tests <1b>[0;32mOK<1b>[0m <1b>[0;36m31ms<1b>[0m
    
     test_ctx.R.................... 0 tests
     test_ctx.R.................... 0 tests
     test_ctx.R.................... 0 tests
     test_ctx.R.................... 0 tests
     test_ctx.R.................... 0 tests
     test_ctx.R.................... 0 tests
     test_ctx.R.................... 1 tests <1b>[0;32mOK<1b>[0m
     test_ctx.R.................... 1 tests <1b>[0;32mOK<1b>[0m
     test_ctx.R.................... 1 tests <1b>[0;32mOK<1b>[0m
     test_ctx.R.................... 2 tests <1b>[0;32mOK<1b>[0m
     test_ctx.R.................... 2 tests <1b>[0;32mOK<1b>[0m
     test_ctx.R.................... 3 tests <1b>[0;32mOK<1b>[0m
     test_ctx.R.................... 3 tests <1b>[0;32mOK<1b>[0m
     test_ctx.R.................... 4 tests <1b>[0;32mOK<1b>[0m
     test_ctx.R.................... 4 tests <1b>[0;32mOK<1b>[0m
     test_ctx.R.................... 5 tests <1b>[0;32mOK<1b>[0m
     test_ctx.R.................... 6 tests <1b>[0;32mOK<1b>[0m
     test_ctx.R.................... 6 tests <1b>[0;32mOK<1b>[0m
     test_ctx.R.................... 7 tests <1b>[0;32mOK<1b>[0m
     test_ctx.R.................... 8 tests <1b>[0;32mOK<1b>[0m <1b>[0;36m69ms<1b>[0m
    
     test_dataframe.R.............. 0 tests
     test_dataframe.R.............. 0 tests
     test_dataframe.R.............. 0 tests
     test_dataframe.R.............. 0 tests
     test_dataframe.R.............. 0 tests
     test_dataframe.R.............. 0 tests
     test_dataframe.R.............. 0 tests
     test_dataframe.R.............. 1 tests <1b>[0;32mOK<1b>[0m
     test_dataframe.R.............. 1 tests <1b>[0;32mOK<1b>[0m
     test_dataframe.R.............. 1 tests <1b>[0;32mOK<1b>[0m
     test_dataframe.R.............. 1 tests <1b>[0;32mOK<1b>[0m
     test_dataframe.R.............. 1 tests <1b>[0;32mOK<1b>[0m
     test_dataframe.R.............. 2 tests <1b>[0;32mOK<1b>[0m
     test_dataframe.R.............. 3 tests <1b>[0;32mOK<1b>[0m
     test_dataframe.R.............. 3 tests <1b>[0;32mOK<1b>[0m
     test_dataframe.R.............. 4 tests <1b>[0;32mOK<1b>[0m
     test_dataframe.R.............. 4 tests <1b>[0;32mOK<1b>[0m
     test_dataframe.R.............. 4 tests <1b>[0;32mOK<1b>[0m
     test_dataframe.R.............. 5 tests <1b>[0;32mOK<1b>[0m
     test_dataframe.R.............. 5 tests <1b>[0;32mOK<1b>[0m
     test_dataframe.R.............. 5 tests <1b>[0;32mOK<1b>[0m
     test_dataframe.R.............. 6 tests <1b>[0;32mOK<1b>[0m
     test_dataframe.R.............. 7 tests <1b>[0;32mOK<1b>[0m
     test_dataframe.R.............. 7 tests <1b>[0;32mOK<1b>[0m
     test_dataframe.R.............. 7 tests <1b>[0;32mOK<1b>[0m
     test_dataframe.R.............. 7 tests <1b>[0;32mOK<1b>[0m
     test_dataframe.R.............. 7 tests <1b>[0;32mOK<1b>[0m
     test_dataframe.R.............. 7 tests <1b>[0;32mOK<1b>[0m
     test_dataframe.R.............. 7 tests <1b>[0;32mOK<1b>[0m
     test_dataframe.R.............. 7 tests <1b>[0;32mOK<1b>[0m
     test_dataframe.R.............. 8 tests <1b>[0;32mOK<1b>[0m
     test_dataframe.R.............. 8 tests <1b>[0;32mOK<1b>[0m
     test_dataframe.R.............. 8 tests <1b>[0;32mOK<1b>[0m
     test_dataframe.R.............. 8 tests <1b>[0;32mOK<1b>[0m
     test_dataframe.R.............. 8 tests <1b>[0;32mOK<1b>[0m
     test_dataframe.R.............. 8 tests <1b>[0;32mOK<1b>[0m
     test_dataframe.R.............. 8 tests <1b>[0;32mOK<1b>[0m
     test_dataframe.R.............. 8 tests <1b>[0;32mOK<1b>[0m
     test_dataframe.R.............. 8 tests <1b>[0;32mOK<1b>[0m
     test_dataframe.R.............. 9 tests <1b>[0;32mOK<1b>[0m
     test_dataframe.R.............. 9 tests <1b>[0;32mOK<1b>[0m
     test_dataframe.R.............. 9 tests <1b>[0;32mOK<1b>[0m
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     test_domain.R................. 0 tests
     test_domain.R................. 1 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 1 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 1 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 1 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 1 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 2 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 3 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 3 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 3 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 3 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 4 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 4 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 4 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 4 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 4 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 4 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 5 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 6 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 7 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 8 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 9 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 10 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 11 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 12 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 13 tests <1b>[0;32mOK<1b>[0m <1b>[0;36m56ms<1b>[0m
    
     test_filestore.R.............. 0 tests
     test_filestore.R.............. 0 tests
     test_filestore.R.............. 0 tests
     test_filestore.R.............. 0 tests <1b>[0;36m31ms<1b>[0m [Exited at #8: Needs TileDB 2.9.* or later]
    
     test_filter.R................. 0 tests
     test_filter.R................. 0 tests
     test_filter.R................. 0 tests
     test_filter.R................. 0 tests
     test_filter.R................. 0 tests
     test_filter.R................. 0 tests
     test_filter.R................. 1 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 1 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 2 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 2 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 15 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 15 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 16 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 17 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 17 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 27 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 27 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 27 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 28 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 28 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 28 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 29 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 29 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 29 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 29 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 29 tests <1b>[0;32mOK<1b>[0m
     *** caught illegal operation ***
     address 0x7fdea9a00863, cause 'illegal operand'
    
     Traceback:
     1: libtiledb_query_submit(qryptr)
     2: `[<-`(`*tmp*`, , value = list(`__tiledb_rows` = 1:344, species = c("Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap"), island = c("Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream"), bill_length_mm = c(39.1, 39.5, 40.3, NA, 36.7, 39.3, 38.9, 39.2, 34.1, 42, 37.8, 37.8, 41.1, 38.6, 34.6, 36.6, 38.7, 42.5, 34.4, 46, 37.8, 37.7, 35.9, 38.2, 38.8, 35.3, 40.6, 40.5, 37.9, 40.5, 39.5, 37.2, 39.5, 40.9, 36.4, 39.2, 38.8, 42.2, 37.6, 39.8, 36.5, 40.8, 36, 44.1, 37, 39.6, 41.1, 37.5, 36, 42.3, 39.6, 40.1, 35, 42, 34.5, 41.4, 39, 40.6, 36.5, 37.6, 35.7, 41.3, 37.6, 41.1, 36.4, 41.6, 35.5, 41.1, 35.9, 41.8, 33.5, 39.7, 39.6, 45.8, 35.5, 42.8, 40.9, 37.2, 36.2, 42.1, 34.6, 42.9, 36.7, 35.1, 37.3, 41.3, 36.3, 36.9, 38.3, 38.9, 35.7, 41.1, 34, 39.6, 36.2, 40.8, 38.1, 40.3, 33.1, 43.2, 35, 41, 37.7, 37.8, 37.9, 39.7, 38.6, 38.2, 38.1, 43.2, 38.1, 45.6, 39.7, 42.2, 39.6, 42.7, 38.6, 37.3, 35.7, 41.1, 36.2, 37.7, 40.2, 41.4, 35.2, 40.6, 38.8, 41.5, 39, 44.1, 38.5, 43.1, 36.8, 37.5, 38.1, 41.1, 35.6, 40.2, 37, 39.7, 40.2, 40.6, 32.1, 40.7, 37.3, 39, 39.2, 36.6, 36, 37.8, 36, 41.5, 46.1, 50, 48.7, 50, 47.6, 46.5, 45.4, 46.7, 43.3, 46.8, 40.9, 49, 45.5, 48.4, 45.8, 49.3, 42, 49.2, 46.2, 48.7, 50.2, 45.1, 46.5, 46.3, 42.9, 46.1, 44.5, 47.8, 48.2, 50, 47.3, 42.8, 45.1, 59.6, 49.1, 48.4, 42.6, 44.4, 44, 48.7, 42.7, 49.6, 45.3, 49.6, 50.5, 43.6, 45.5, 50.5, 44.9, 45.2, 46.6, 48.5, 45.1, 50.1, 46.5, 45, 43.8, 45.5, 43.2, 50.4, 45.3, 46.2, 45.7, 54.3, 45.8, 49.8, 46.2, 49.5, 43.5, 50.7, 47.7, 46.4, 48.2, 46.5, 46.4, 48.6, 47.5, 51.1, 45.2, 45.2, 49.1, 52.5, 47.4, 50, 44.9, 50.8, 43.4, 51.3, 47.5, 52.1, 47.5, 52.2, 45.5, 49.5, 44.5, 50.8, 49.4, 46.9, 48.4, 51.1, 48.5, 55.9, 47.2, 49.1, 47.3, 46.8, 41.7, 53.4, 43.3, 48.1, 50.5, 49.8, 43.5, 51.5, 46.2, 55.1, 44.5, 48.8, 47.2, NA, 46.8, 50.4, 45.2, 49.9, 46.5, 50, 51.3, 45.4, 52.7, 45.2, 46.1, 51.3, 46, 51.3, 46.6, 51.7, 47, 52, 45.9, 50.5, 50.3, 58, 46.4, 49.2, 42.4, 48.5, 43.2, 50.6, 46.7, 52, 50.5, 49.5, 46.4, 52.8, 40.9, 54.2, 42.5, 51, 49.7, 47.5, 47.6, 52, 46.9, 53.5, 49, 46.2, 50.9, 45.5, 50.9, 50.8, 50.1, 49, 51.5, 49.8, 48.1, 51.4, 45.7, 50.7, 42.5, 52.2, 45.2, 49.3, 50.2, 45.6, 51.9, 46.8, 45.7, 55.8, 43.5, 49.6, 50.8, 50.2), bill_depth_mm = c(18.7, 17.4, 18, NA, 19.3, 20.6, 17.8, 19.6, 18.1, 20.2, 17.1, 17.3, 17.6, 21.2, 21.1, 17.8, 19, 20.7, 18.4, 21.5, 18.3, 18.7, 19.2, 18.1, 17.2, 18.9, 18.6, 17.9, 18.6, 18.9, 16.7, 18.1, 17.8, 18.9, 17, 21.1, 20, 18.5, 19.3, 19.1, 18, 18.4, 18.5, 19.7, 16.9, 18.8, 19, 18.9, 17.9, 21.2, 17.7, 18.9, 17.9, 19.5, 18.1, 18.6, 17.5, 18.8, 16.6, 19.1, 16.9, 21.1, 17, 18.2, 17.1, 18, 16.2, 19.1, 16.6, 19.4, 19, 18.4, 17.2, 18.9, 17.5, 18.5, 16.8, 19.4, 16.1, 19.1, 17.2, 17.6, 18.8, 19.4, 17.8, 20.3, 19.5, 18.6, 19.2, 18.8, 18, 18.1, 17.1, 18.1, 17.3, 18.9, 18.6, 18.5, 16.1, 18.5, 17.9, 20, 16, 20, 18.6, 18.9, 17.2, 20, 17, 19, 16.5, 20.3, 17.7, 19.5, 20.7, 18.3, 17, 20.5, 17, 18.6, 17.2, 19.8, 17, 18.5, 15.9, 19, 17.6, 18.3, 17.1, 18, 17.9, 19.2, 18.5, 18.5, 17.6, 17.5, 17.5, 20.1, 16.5, 17.9, 17.1, 17.2, 15.5, 17, 16.8, 18.7, 18.6, 18.4, 17.8, 18.1, 17.1, 18.5, 13.2, 16.3, 14.1, 15.2, 14.5, 13.5, 14.6, 15.3, 13.4, 15.4, 13.7, 16.1, 13.7, 14.6, 14.6, 15.7, 13.5, 15.2, 14.5, 15.1, 14.3, 14.5, 14.5, 15.8, 13.1, 15.1, 14.3, 15, 14.3, 15.3, 15.3, 14.2, 14.5, 17, 14.8, 16.3, 13.7, 17.3, 13.6, 15.7, 13.7, 16, 13.7, 15, 15.9, 13.9, 13.9, 15.9, 13.3, 15.8, 14.2, 14.1, 14.4, 15, 14.4, 15.4, 13.9, 15, 14.5, 15.3, 13.8, 14.9, 13.9, 15.7, 14.2, 16.8, 14.4, 16.2, 14.2, 15, 15, 15.6, 15.6, 14.8, 15, 16, 14.2, 16.3, 13.8, 16.4, 14.5, 15.6, 14.6, 15.9, 13.8, 17.3, 14.4, 14.2, 14, 17, 15, 17.1, 14.5, 16.1, 14.7, 15.7, 15.8, 14.6, 14.4, 16.5, 15, 17, 15.5, 15, 13.8, 16.1, 14.7, 15.8, 14, 15.1, 15.2, 15.9, 15.2, 16.3, 14.1, 16, 15.7, 16.2, 13.7, NA, 14.3, 15.7, 14.8, 16.1, 17.9, 19.5, 19.2, 18.7, 19.8, 17.8, 18.2, 18.2, 18.9, 19.9, 17.8, 20.3, 17.3, 18.1, 17.1, 19.6, 20, 17.8, 18.6, 18.2, 17.3, 17.5, 16.6, 19.4, 17.9, 19, 18.4, 19, 17.8, 20, 16.6, 20.8, 16.7, 18.8, 18.6, 16.8, 18.3, 20.7, 16.6, 19.9, 19.5, 17.5, 19.1, 17, 17.9, 18.5, 17.9, 19.6, 18.7, 17.3, 16.4, 19, 17.3, 19.7, 17.3, 18.8, 16.6, 19.9, 18.8, 19.4, 19.5, 16.5, 17, 19.8, 18.1, 18.2, 19, 18.7), flipper_length_mm = c(181L, 186L, 195L, NA, 193L, 190L, 181L, 195L, 193L, 190L, 186L, 180L, 182L, 191L, 198L, 185L, 195L, 197L, 184L, 194L, 174L, 180L, 189L, 185L, 180L, 187L, 183L, 187L, 172L, 180L, 178L, 178L, 188L, 184L, 195L, 196L, 190L, 180L, 181L, 184L, 182L, 195L, 186L, 196L, 185L, 190L, 182L, 179L, 190L, 191L, 186L, 188L, 190L, 200L, 187L, 191L, 186L, 193L, 181L, 194L, 185L, 195L, 185L, 192L, 184L, 192L, 195L, 188L, 190L, 198L, 190L, 190L, 196L, 197L, 190L, 195L, 191L, 184L, 187L, 195L, 189L, 196L, 187L, 193L, 191L, 194L, 190L, 189L, 189L, 190L, 202L, 205L, 185L, 186L, 187L, 208L, 190L, 196L, 178L, 192L, 192L, 203L, 183L, 190L, 193L, 184L, 199L, 190L, 181L, 197L, 198L, 191L, 193L, 197L, 191L, 196L, 188L, 199L, 189L, 189L, 187L, 198L, 176L, 202L, 186L, 199L, 191L, 195L, 191L, 210L, 190L, 197L, 193L, 199L, 187L, 190L, 191L, 200L, 185L, 193L, 193L, 187L, 188L, 190L, 192L, 185L, 190L, 184L, 195L, 193L, 187L, 201L, 211L, 230L, 210L, 218L, 215L, 210L, 211L, 219L, 209L, 215L, 214L, 216L, 214L, 213L, 210L, 217L, 210L, 221L, 209L, 222L, 218L, 215L, 213L, 215L, 215L, 215L, 216L, 215L, 210L, 220L, 222L, 209L, 207L, 230L, 220L, 220L, 213L, 219L, 208L, 208L, 208L, 225L, 210L, 216L, 222L, 217L, 210L, 225L, 213L, 215L, 210L, 220L, 210L, 225L, 217L, 220L, 208L, 220L, 208L, 224L, 208L, 221L, 214L, 231L, 219L, 230L, 214L, 229L, 220L, 223L, 216L, 221L, 221L, 217L, 216L, 230L, 209L, 220L, 215L, 223L, 212L, 221L, 212L, 224L, 212L, 228L, 218L, 218L, 212L, 230L, 218L, 228L, 212L, 224L, 214L, 226L, 216L, 222L, 203L, 225L, 219L, 228L, 215L, 228L, 216L, 215L, 210L, 219L, 208L, 209L, 216L, 229L, 213L, 230L, 217L, 230L, 217L, 222L, 214L, NA, 215L, 222L, 212L, 213L, 192L, 196L, 193L, 188L, 197L, 198L, 178L, 197L, 195L, 198L, 193L, 194L, 185L, 201L, 190L, 201L, 197L, 181L, 190L, 195L, 181L, 191L, 187L, 193L, 195L, 197L, 200L, 200L, 191L, 205L, 187L, 201L, 187L, 203L, 195L, 199L, 195L, 210L, 192L, 205L, 210L, 187L, 196L, 196L, 196L, 201L, 190L, 212L, 187L, 198L, 199L, 201L, 193L, 203L, 187L, 197L, 191L, 203L, 202L, 194L, 206L, 189L, 195L, 207L, 202L, 193L, 210L, 198L), body_mass_g = c(3750L, 3800L, 3250L, NA, 3450L, 3650L, 3625L, 4675L, 3475L, 4250L, 3300L, 3700L, 3200L, 3800L, 4400L, 3700L, 3450L, 4500L, 3325L, 4200L, 3400L, 3600L, 3800L, 3950L, 3800L, 3800L, 3550L, 3200L, 3150L, 3950L, 3250L, 3900L, 3300L, 3900L, 3325L, 4150L, 3950L, 3550L, 3300L, 4650L, 3150L, 3900L, 3100L, 4400L, 3000L, 4600L, 3425L, 2975L, 3450L, 4150L, 3500L, 4300L, 3450L, 4050L, 2900L, 3700L, 3550L, 3800L, 2850L, 3750L, 3150L, 4400L, 3600L, 4050L, 2850L, 3950L, 3350L, 4100L, 3050L, 4450L, 3600L, 3900L, 3550L, 4150L, 3700L, 4250L, 3700L, 3900L, 3550L, 4000L, 3200L, 4700L, 3800L, 4200L, 3350L, 3550L, 3800L, 3500L, 3950L, 3600L, 3550L, 4300L, 3400L, 4450L, 3300L, 4300L, 3700L, 4350L, 2900L, 4100L, 3725L, 4725L, 3075L, 4250L, 2925L, 3550L, 3750L, 3900L, 3175L, 4775L, 3825L, 4600L, 3200L, 4275L, 3900L, 4075L, 2900L, 3775L, 3350L, 3325L, 3150L, 3500L, 3450L, 3875L, 3050L, 4000L, 3275L, 4300L, 3050L, 4000L, 3325L, 3500L, 3500L, 4475L, 3425L, 3900L, 3175L, 3975L, 3400L, 4250L, 3400L, 3475L, 3050L, 3725L, 3000L, 3650L, 4250L, 3475L, 3450L, 3750L, 3700L, 4000L, 4500L, 5700L, 4450L, 5700L, 5400L, 4550L, 4800L, 5200L, 4400L, 5150L, 4650L, 5550L, 4650L, 5850L, 4200L, 5850L, 4150L, 6300L, 4800L, 5350L, 5700L, 5000L, 4400L, 5050L, 5000L, 5100L, 4100L, 5650L, 4600L, 5550L, 5250L, 4700L, 5050L, 6050L, 5150L, 5400L, 4950L, 5250L, 4350L, 5350L, 3950L, 5700L, 4300L, 4750L, 5550L, 4900L, 4200L, 5400L, 5100L, 5300L, 4850L, 5300L, 4400L, 5000L, 4900L, 5050L, 4300L, 5000L, 4450L, 5550L, 4200L, 5300L, 4400L, 5650L, 4700L, 5700L, 4650L, 5800L, 4700L, 5550L, 4750L, 5000L, 5100L, 5200L, 4700L, 5800L, 4600L, 6000L, 4750L, 5950L, 4625L, 5450L, 4725L, 5350L, 4750L, 5600L, 4600L, 5300L, 4875L, 5550L, 4950L, 5400L, 4750L, 5650L, 4850L, 5200L, 4925L, 4875L, 4625L, 5250L, 4850L, 5600L, 4975L, 5500L, 4725L, 5500L, 4700L, 5500L, 4575L, 5500L, 5000L, 5950L, 4650L, 5500L, 4375L, 5850L, 4875L, 6000L, 4925L, NA, 4850L, 5750L, 5200L, 5400L, 3500L, 3900L, 3650L, 3525L, 3725L, 3950L, 3250L, 3750L, 4150L, 3700L, 3800L, 3775L, 3700L, 4050L, 3575L, 4050L, 3300L, 3700L, 3450L, 4400L, 3600L, 3400L, 2900L, 3800L, 3300L, 4150L, 3400L, 3800L, 3700L, 4550L, 3200L, 4300L, 3350L, 4100L, 3600L, 3900L, 3850L, 4800L, 2700L, 4500L, 3950L, 3650L, 3550L, 3500L, 3675L, 4450L, 3400L, 4300L, 3250L, 3675L, 3325L, 3950L, 3600L, 4050L, 3350L, 3450L, 3250L, 4050L, 3800L, 3525L, 3950L, 3650L, 3650L, 4000L, 3400L, 3775L, 4100L, 3775L), sex = c("male", "female", "female", NA, "female", "male", "female", "male", NA, NA, NA, NA, "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", NA, "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", NA, "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", NA, "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", NA, "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", NA, "male", "female", NA, "female", "male", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "male", "female"), year = c(2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L)))
     3: `[<-`(`*tmp*`, , value = list(`__tiledb_rows` = 1:344, species = c("Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", 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"Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream"), bill_length_mm = c(39.1, 39.5, 40.3, NA, 36.7, 39.3, 38.9, 39.2, 34.1, 42, 37.8, 37.8, 41.1, 38.6, 34.6, 36.6, 38.7, 42.5, 34.4, 46, 37.8, 37.7, 35.9, 38.2, 38.8, 35.3, 40.6, 40.5, 37.9, 40.5, 39.5, 37.2, 39.5, 40.9, 36.4, 39.2, 38.8, 42.2, 37.6, 39.8, 36.5, 40.8, 36, 44.1, 37, 39.6, 41.1, 37.5, 36, 42.3, 39.6, 40.1, 35, 42, 34.5, 41.4, 39, 40.6, 36.5, 37.6, 35.7, 41.3, 37.6, 41.1, 36.4, 41.6, 35.5, 41.1, 35.9, 41.8, 33.5, 39.7, 39.6, 45.8, 35.5, 42.8, 40.9, 37.2, 36.2, 42.1, 34.6, 42.9, 36.7, 35.1, 37.3, 41.3, 36.3, 36.9, 38.3, 38.9, 35.7, 41.1, 34, 39.6, 36.2, 40.8, 38.1, 40.3, 33.1, 43.2, 35, 41, 37.7, 37.8, 37.9, 39.7, 38.6, 38.2, 38.1, 43.2, 38.1, 45.6, 39.7, 42.2, 39.6, 42.7, 38.6, 37.3, 35.7, 41.1, 36.2, 37.7, 40.2, 41.4, 35.2, 40.6, 38.8, 41.5, 39, 44.1, 38.5, 43.1, 36.8, 37.5, 38.1, 41.1, 35.6, 40.2, 37, 39.7, 40.2, 40.6, 32.1, 40.7, 37.3, 39, 39.2, 36.6, 36, 37.8, 36, 41.5, 46.1, 50, 48.7, 50, 47.6, 46.5, 45.4, 46.7, 43.3, 46.8, 40.9, 49, 45.5, 48.4, 45.8, 49.3, 42, 49.2, 46.2, 48.7, 50.2, 45.1, 46.5, 46.3, 42.9, 46.1, 44.5, 47.8, 48.2, 50, 47.3, 42.8, 45.1, 59.6, 49.1, 48.4, 42.6, 44.4, 44, 48.7, 42.7, 49.6, 45.3, 49.6, 50.5, 43.6, 45.5, 50.5, 44.9, 45.2, 46.6, 48.5, 45.1, 50.1, 46.5, 45, 43.8, 45.5, 43.2, 50.4, 45.3, 46.2, 45.7, 54.3, 45.8, 49.8, 46.2, 49.5, 43.5, 50.7, 47.7, 46.4, 48.2, 46.5, 46.4, 48.6, 47.5, 51.1, 45.2, 45.2, 49.1, 52.5, 47.4, 50, 44.9, 50.8, 43.4, 51.3, 47.5, 52.1, 47.5, 52.2, 45.5, 49.5, 44.5, 50.8, 49.4, 46.9, 48.4, 51.1, 48.5, 55.9, 47.2, 49.1, 47.3, 46.8, 41.7, 53.4, 43.3, 48.1, 50.5, 49.8, 43.5, 51.5, 46.2, 55.1, 44.5, 48.8, 47.2, NA, 46.8, 50.4, 45.2, 49.9, 46.5, 50, 51.3, 45.4, 52.7, 45.2, 46.1, 51.3, 46, 51.3, 46.6, 51.7, 47, 52, 45.9, 50.5, 50.3, 58, 46.4, 49.2, 42.4, 48.5, 43.2, 50.6, 46.7, 52, 50.5, 49.5, 46.4, 52.8, 40.9, 54.2, 42.5, 51, 49.7, 47.5, 47.6, 52, 46.9, 53.5, 49, 46.2, 50.9, 45.5, 50.9, 50.8, 50.1, 49, 51.5, 49.8, 48.1, 51.4, 45.7, 50.7, 42.5, 52.2, 45.2, 49.3, 50.2, 45.6, 51.9, 46.8, 45.7, 55.8, 43.5, 49.6, 50.8, 50.2), bill_depth_mm = c(18.7, 17.4, 18, NA, 19.3, 20.6, 17.8, 19.6, 18.1, 20.2, 17.1, 17.3, 17.6, 21.2, 21.1, 17.8, 19, 20.7, 18.4, 21.5, 18.3, 18.7, 19.2, 18.1, 17.2, 18.9, 18.6, 17.9, 18.6, 18.9, 16.7, 18.1, 17.8, 18.9, 17, 21.1, 20, 18.5, 19.3, 19.1, 18, 18.4, 18.5, 19.7, 16.9, 18.8, 19, 18.9, 17.9, 21.2, 17.7, 18.9, 17.9, 19.5, 18.1, 18.6, 17.5, 18.8, 16.6, 19.1, 16.9, 21.1, 17, 18.2, 17.1, 18, 16.2, 19.1, 16.6, 19.4, 19, 18.4, 17.2, 18.9, 17.5, 18.5, 16.8, 19.4, 16.1, 19.1, 17.2, 17.6, 18.8, 19.4, 17.8, 20.3, 19.5, 18.6, 19.2, 18.8, 18, 18.1, 17.1, 18.1, 17.3, 18.9, 18.6, 18.5, 16.1, 18.5, 17.9, 20, 16, 20, 18.6, 18.9, 17.2, 20, 17, 19, 16.5, 20.3, 17.7, 19.5, 20.7, 18.3, 17, 20.5, 17, 18.6, 17.2, 19.8, 17, 18.5, 15.9, 19, 17.6, 18.3, 17.1, 18, 17.9, 19.2, 18.5, 18.5, 17.6, 17.5, 17.5, 20.1, 16.5, 17.9, 17.1, 17.2, 15.5, 17, 16.8, 18.7, 18.6, 18.4, 17.8, 18.1, 17.1, 18.5, 13.2, 16.3, 14.1, 15.2, 14.5, 13.5, 14.6, 15.3, 13.4, 15.4, 13.7, 16.1, 13.7, 14.6, 14.6, 15.7, 13.5, 15.2, 14.5, 15.1, 14.3, 14.5, 14.5, 15.8, 13.1, 15.1, 14.3, 15, 14.3, 15.3, 15.3, 14.2, 14.5, 17, 14.8, 16.3, 13.7, 17.3, 13.6, 15.7, 13.7, 16, 13.7, 15, 15.9, 13.9, 13.9, 15.9, 13.3, 15.8, 14.2, 14.1, 14.4, 15, 14.4, 15.4, 13.9, 15, 14.5, 15.3, 13.8, 14.9, 13.9, 15.7, 14.2, 16.8, 14.4, 16.2, 14.2, 15, 15, 15.6, 15.6, 14.8, 15, 16, 14.2, 16.3, 13.8, 16.4, 14.5, 15.6, 14.6, 15.9, 13.8, 17.3, 14.4, 14.2, 14, 17, 15, 17.1, 14.5, 16.1, 14.7, 15.7, 15.8, 14.6, 14.4, 16.5, 15, 17, 15.5, 15, 13.8, 16.1, 14.7, 15.8, 14, 15.1, 15.2, 15.9, 15.2, 16.3, 14.1, 16, 15.7, 16.2, 13.7, NA, 14.3, 15.7, 14.8, 16.1, 17.9, 19.5, 19.2, 18.7, 19.8, 17.8, 18.2, 18.2, 18.9, 19.9, 17.8, 20.3, 17.3, 18.1, 17.1, 19.6, 20, 17.8, 18.6, 18.2, 17.3, 17.5, 16.6, 19.4, 17.9, 19, 18.4, 19, 17.8, 20, 16.6, 20.8, 16.7, 18.8, 18.6, 16.8, 18.3, 20.7, 16.6, 19.9, 19.5, 17.5, 19.1, 17, 17.9, 18.5, 17.9, 19.6, 18.7, 17.3, 16.4, 19, 17.3, 19.7, 17.3, 18.8, 16.6, 19.9, 18.8, 19.4, 19.5, 16.5, 17, 19.8, 18.1, 18.2, 19, 18.7), flipper_length_mm = c(181L, 186L, 195L, NA, 193L, 190L, 181L, 195L, 193L, 190L, 186L, 180L, 182L, 191L, 198L, 185L, 195L, 197L, 184L, 194L, 174L, 180L, 189L, 185L, 180L, 187L, 183L, 187L, 172L, 180L, 178L, 178L, 188L, 184L, 195L, 196L, 190L, 180L, 181L, 184L, 182L, 195L, 186L, 196L, 185L, 190L, 182L, 179L, 190L, 191L, 186L, 188L, 190L, 200L, 187L, 191L, 186L, 193L, 181L, 194L, 185L, 195L, 185L, 192L, 184L, 192L, 195L, 188L, 190L, 198L, 190L, 190L, 196L, 197L, 190L, 195L, 191L, 184L, 187L, 195L, 189L, 196L, 187L, 193L, 191L, 194L, 190L, 189L, 189L, 190L, 202L, 205L, 185L, 186L, 187L, 208L, 190L, 196L, 178L, 192L, 192L, 203L, 183L, 190L, 193L, 184L, 199L, 190L, 181L, 197L, 198L, 191L, 193L, 197L, 191L, 196L, 188L, 199L, 189L, 189L, 187L, 198L, 176L, 202L, 186L, 199L, 191L, 195L, 191L, 210L, 190L, 197L, 193L, 199L, 187L, 190L, 191L, 200L, 185L, 193L, 193L, 187L, 188L, 190L, 192L, 185L, 190L, 184L, 195L, 193L, 187L, 201L, 211L, 230L, 210L, 218L, 215L, 210L, 211L, 219L, 209L, 215L, 214L, 216L, 214L, 213L, 210L, 217L, 210L, 221L, 209L, 222L, 218L, 215L, 213L, 215L, 215L, 215L, 216L, 215L, 210L, 220L, 222L, 209L, 207L, 230L, 220L, 220L, 213L, 219L, 208L, 208L, 208L, 225L, 210L, 216L, 222L, 217L, 210L, 225L, 213L, 215L, 210L, 220L, 210L, 225L, 217L, 220L, 208L, 220L, 208L, 224L, 208L, 221L, 214L, 231L, 219L, 230L, 214L, 229L, 220L, 223L, 216L, 221L, 221L, 217L, 216L, 230L, 209L, 220L, 215L, 223L, 212L, 221L, 212L, 224L, 212L, 228L, 218L, 218L, 212L, 230L, 218L, 228L, 212L, 224L, 214L, 226L, 216L, 222L, 203L, 225L, 219L, 228L, 215L, 228L, 216L, 215L, 210L, 219L, 208L, 209L, 216L, 229L, 213L, 230L, 217L, 230L, 217L, 222L, 214L, NA, 215L, 222L, 212L, 213L, 192L, 196L, 193L, 188L, 197L, 198L, 178L, 197L, 195L, 198L, 193L, 194L, 185L, 201L, 190L, 201L, 197L, 181L, 190L, 195L, 181L, 191L, 187L, 193L, 195L, 197L, 200L, 200L, 191L, 205L, 187L, 201L, 187L, 203L, 195L, 199L, 195L, 210L, 192L, 205L, 210L, 187L, 196L, 196L, 196L, 201L, 190L, 212L, 187L, 198L, 199L, 201L, 193L, 203L, 187L, 197L, 191L, 203L, 202L, 194L, 206L, 189L, 195L, 207L, 202L, 193L, 210L, 198L), body_mass_g = c(3750L, 3800L, 3250L, NA, 3450L, 3650L, 3625L, 4675L, 3475L, 4250L, 3300L, 3700L, 3200L, 3800L, 4400L, 3700L, 3450L, 4500L, 3325L, 4200L, 3400L, 3600L, 3800L, 3950L, 3800L, 3800L, 3550L, 3200L, 3150L, 3950L, 3250L, 3900L, 3300L, 3900L, 3325L, 4150L, 3950L, 3550L, 3300L, 4650L, 3150L, 3900L, 3100L, 4400L, 3000L, 4600L, 3425L, 2975L, 3450L, 4150L, 3500L, 4300L, 3450L, 4050L, 2900L, 3700L, 3550L, 3800L, 2850L, 3750L, 3150L, 4400L, 3600L, 4050L, 2850L, 3950L, 3350L, 4100L, 3050L, 4450L, 3600L, 3900L, 3550L, 4150L, 3700L, 4250L, 3700L, 3900L, 3550L, 4000L, 3200L, 4700L, 3800L, 4200L, 3350L, 3550L, 3800L, 3500L, 3950L, 3600L, 3550L, 4300L, 3400L, 4450L, 3300L, 4300L, 3700L, 4350L, 2900L, 4100L, 3725L, 4725L, 3075L, 4250L, 2925L, 3550L, 3750L, 3900L, 3175L, 4775L, 3825L, 4600L, 3200L, 4275L, 3900L, 4075L, 2900L, 3775L, 3350L, 3325L, 3150L, 3500L, 3450L, 3875L, 3050L, 4000L, 3275L, 4300L, 3050L, 4000L, 3325L, 3500L, 3500L, 4475L, 3425L, 3900L, 3175L, 3975L, 3400L, 4250L, 3400L, 3475L, 3050L, 3725L, 3000L, 3650L, 4250L, 3475L, 3450L, 3750L, 3700L, 4000L, 4500L, 5700L, 4450L, 5700L, 5400L, 4550L, 4800L, 5200L, 4400L, 5150L, 4650L, 5550L, 4650L, 5850L, 4200L, 5850L, 4150L, 6300L, 4800L, 5350L, 5700L, 5000L, 4400L, 5050L, 5000L, 5100L, 4100L, 5650L, 4600L, 5550L, 5250L, 4700L, 5050L, 6050L, 5150L, 5400L, 4950L, 5250L, 4350L, 5350L, 3950L, 5700L, 4300L, 4750L, 5550L, 4900L, 4200L, 5400L, 5100L, 5300L, 4850L, 5300L, 4400L, 5000L, 4900L, 5050L, 4300L, 5000L, 4450L, 5550L, 4200L, 5300L, 4400L, 5650L, 4700L, 5700L, 4650L, 5800L, 4700L, 5550L, 4750L, 5000L, 5100L, 5200L, 4700L, 5800L, 4600L, 6000L, 4750L, 5950L, 4625L, 5450L, 4725L, 5350L, 4750L, 5600L, 4600L, 5300L, 4875L, 5550L, 4950L, 5400L, 4750L, 5650L, 4850L, 5200L, 4925L, 4875L, 4625L, 5250L, 4850L, 5600L, 4975L, 5500L, 4725L, 5500L, 4700L, 5500L, 4575L, 5500L, 5000L, 5950L, 4650L, 5500L, 4375L, 5850L, 4875L, 6000L, 4925L, NA, 4850L, 5750L, 5200L, 5400L, 3500L, 3900L, 3650L, 3525L, 3725L, 3950L, 3250L, 3750L, 4150L, 3700L, 3800L, 3775L, 3700L, 4050L, 3575L, 4050L, 3300L, 3700L, 3450L, 4400L, 3600L, 3400L, 2900L, 3800L, 3300L, 4150L, 3400L, 3800L, 3700L, 4550L, 3200L, 4300L, 3350L, 4100L, 3600L, 3900L, 3850L, 4800L, 2700L, 4500L, 3950L, 3650L, 3550L, 3500L, 3675L, 4450L, 3400L, 4300L, 3250L, 3675L, 3325L, 3950L, 3600L, 4050L, 3350L, 3450L, 3250L, 4050L, 3800L, 3525L, 3950L, 3650L, 3650L, 4000L, 3400L, 3775L, 4100L, 3775L), sex = c("male", "female", "female", NA, "female", "male", "female", "male", NA, NA, NA, NA, "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", NA, "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", NA, "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", NA, "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", NA, "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", NA, "male", "female", NA, "female", "male", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "male", "female"), year = c(2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L)))
     4: fromDataFrame(dat2, uri, filter = name)
     5: eval(expr, envir = e)
     6: eval(expr, envir = e)
     7: FUN(X[[i]], ...)
     8: lapply(basename(testfiles), run_test_file, at_home = at_home, verbose = verbose, color = color, remove_side_effects = remove_side_effects, ...)
     9: run_test_dir(testdir, at_home = at_home, cluster = cluster, ...)
     10: tinytest::test_package("tiledb")
     An irrecoverable exception occurred. R is aborting now ...
    
     *** caught illegal operation ***
     address 0x7fdea9a00863, cause 'illegal operand'
    
     Traceback:
     1: libtiledb_query_submit(qryptr)
     2: `[<-`(`*tmp*`, , value = list(`__tiledb_rows` = 1:344, species = c("Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap"), island = c("Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream"), bill_length_mm = c(39.1, 39.5, 40.3, NA, 36.7, 39.3, 38.9, 39.2, 34.1, 42, 37.8, 37.8, 41.1, 38.6, 34.6, 36.6, 38.7, 42.5, 34.4, 46, 37.8, 37.7, 35.9, 38.2, 38.8, 35.3, 40.6, 40.5, 37.9, 40.5, 39.5, 37.2, 39.5, 40.9, 36.4, 39.2, 38.8, 42.2, 37.6, 39.8, 36.5, 40.8, 36, 44.1, 37, 39.6, 41.1, 37.5, 36, 42.3, 39.6, 40.1, 35, 42, 34.5, 41.4, 39, 40.6, 36.5, 37.6, 35.7, 41.3, 37.6, 41.1, 36.4, 41.6, 35.5, 41.1, 35.9, 41.8, 33.5, 39.7, 39.6, 45.8, 35.5, 42.8, 40.9, 37.2, 36.2, 42.1, 34.6, 42.9, 36.7, 35.1, 37.3, 41.3, 36.3, 36.9, 38.3, 38.9, 35.7, 41.1, 34, 39.6, 36.2, 40.8, 38.1, 40.3, 33.1, 43.2, 35, 41, 37.7, 37.8, 37.9, 39.7, 38.6, 38.2, 38.1, 43.2, 38.1, 45.6, 39.7, 42.2, 39.6, 42.7, 38.6, 37.3, 35.7, 41.1, 36.2, 37.7, 40.2, 41.4, 35.2, 40.6, 38.8, 41.5, 39, 44.1, 38.5, 43.1, 36.8, 37.5, 38.1, 41.1, 35.6, 40.2, 37, 39.7, 40.2, 40.6, 32.1, 40.7, 37.3, 39, 39.2, 36.6, 36, 37.8, 36, 41.5, 46.1, 50, 48.7, 50, 47.6, 46.5, 45.4, 46.7, 43.3, 46.8, 40.9, 49, 45.5, 48.4, 45.8, 49.3, 42, 49.2, 46.2, 48.7, 50.2, 45.1, 46.5, 46.3, 42.9, 46.1, 44.5, 47.8, 48.2, 50, 47.3, 42.8, 45.1, 59.6, 49.1, 48.4, 42.6, 44.4, 44, 48.7, 42.7, 49.6, 45.3, 49.6, 50.5, 43.6, 45.5, 50.5, 44.9, 45.2, 46.6, 48.5, 45.1, 50.1, 46.5, 45, 43.8, 45.5, 43.2, 50.4, 45.3, 46.2, 45.7, 54.3, 45.8, 49.8, 46.2, 49.5, 43.5, 50.7, 47.7, 46.4, 48.2, 46.5, 46.4, 48.6, 47.5, 51.1, 45.2, 45.2, 49.1, 52.5, 47.4, 50, 44.9, 50.8, 43.4, 51.3, 47.5, 52.1, 47.5, 52.2, 45.5, 49.5, 44.5, 50.8, 49.4, 46.9, 48.4, 51.1, 48.5, 55.9, 47.2, 49.1, 47.3, 46.8, 41.7, 53.4, 43.3, 48.1, 50.5, 49.8, 43.5, 51.5, 46.2, 55.1, 44.5, 48.8, 47.2, NA, 46.8, 50.4, 45.2, 49.9, 46.5, 50, 51.3, 45.4, 52.7, 45.2, 46.1, 51.3, 46, 51.3, 46.6, 51.7, 47, 52, 45.9, 50.5, 50.3, 58, 46.4, 49.2, 42.4, 48.5, 43.2, 50.6, 46.7, 52, 50.5, 49.5, 46.4, 52.8, 40.9, 54.2, 42.5, 51, 49.7, 47.5, 47.6, 52, 46.9, 53.5, 49, 46.2, 50.9, 45.5, 50.9, 50.8, 50.1, 49, 51.5, 49.8, 48.1, 51.4, 45.7, 50.7, 42.5, 52.2, 45.2, 49.3, 50.2, 45.6, 51.9, 46.8, 45.7, 55.8, 43.5, 49.6, 50.8, 50.2), bill_depth_mm = c(18.7, 17.4, 18, NA, 19.3, 20.6, 17.8, 19.6, 18.1, 20.2, 17.1, 17.3, 17.6, 21.2, 21.1, 17.8, 19, 20.7, 18.4, 21.5, 18.3, 18.7, 19.2, 18.1, 17.2, 18.9, 18.6, 17.9, 18.6, 18.9, 16.7, 18.1, 17.8, 18.9, 17, 21.1, 20, 18.5, 19.3, 19.1, 18, 18.4, 18.5, 19.7, 16.9, 18.8, 19, 18.9, 17.9, 21.2, 17.7, 18.9, 17.9, 19.5, 18.1, 18.6, 17.5, 18.8, 16.6, 19.1, 16.9, 21.1, 17, 18.2, 17.1, 18, 16.2, 19.1, 16.6, 19.4, 19, 18.4, 17.2, 18.9, 17.5, 18.5, 16.8, 19.4, 16.1, 19.1, 17.2, 17.6, 18.8, 19.4, 17.8, 20.3, 19.5, 18.6, 19.2, 18.8, 18, 18.1, 17.1, 18.1, 17.3, 18.9, 18.6, 18.5, 16.1, 18.5, 17.9, 20, 16, 20, 18.6, 18.9, 17.2, 20, 17, 19, 16.5, 20.3, 17.7, 19.5, 20.7, 18.3, 17, 20.5, 17, 18.6, 17.2, 19.8, 17, 18.5, 15.9, 19, 17.6, 18.3, 17.1, 18, 17.9, 19.2, 18.5, 18.5, 17.6, 17.5, 17.5, 20.1, 16.5, 17.9, 17.1, 17.2, 15.5, 17, 16.8, 18.7, 18.6, 18.4, 17.8, 18.1, 17.1, 18.5, 13.2, 16.3, 14.1, 15.2, 14.5, 13.5, 14.6, 15.3, 13.4, 15.4, 13.7, 16.1, 13.7, 14.6, 14.6, 15.7, 13.5, 15.2, 14.5, 15.1, 14.3, 14.5, 14.5, 15.8, 13.1, 15.1, 14.3, 15, 14.3, 15.3, 15.3, 14.2, 14.5, 17, 14.8, 16.3, 13.7, 17.3, 13.6, 15.7, 13.7, 16, 13.7, 15, 15.9, 13.9, 13.9, 15.9, 13.3, 15.8, 14.2, 14.1, 14.4, 15, 14.4, 15.4, 13.9, 15, 14.5, 15.3, 13.8, 14.9, 13.9, 15.7, 14.2, 16.8, 14.4, 16.2, 14.2, 15, 15, 15.6, 15.6, 14.8, 15, 16, 14.2, 16.3, 13.8, 16.4, 14.5, 15.6, 14.6, 15.9, 13.8, 17.3, 14.4, 14.2, 14, 17, 15, 17.1, 14.5, 16.1, 14.7, 15.7, 15.8, 14.6, 14.4, 16.5, 15, 17, 15.5, 15, 13.8, 16.1, 14.7, 15.8, 14, 15.1, 15.2, 15.9, 15.2, 16.3, 14.1, 16, 15.7, 16.2, 13.7, NA, 14.3, 15.7, 14.8, 16.1, 17.9, 19.5, 19.2, 18.7, 19.8, 17.8, 18.2, 18.2, 18.9, 19.9, 17.8, 20.3, 17.3, 18.1, 17.1, 19.6, 20, 17.8, 18.6, 18.2, 17.3, 17.5, 16.6, 19.4, 17.9, 19, 18.4, 19, 17.8, 20, 16.6, 20.8, 16.7, 18.8, 18.6, 16.8, 18.3, 20.7, 16.6, 19.9, 19.5, 17.5, 19.1, 17, 17.9, 18.5, 17.9, 19.6, 18.7, 17.3, 16.4, 19, 17.3, 19.7, 17.3, 18.8, 16.6, 19.9, 18.8, 19.4, 19.5, 16.5, 17, 19.8, 18.1, 18.2, 19, 18.7), flipper_length_mm = c(181L, 186L, 195L, NA, 193L, 190L, 181L, 195L, 193L, 190L, 186L, 180L, 182L, 191L, 198L, 185L, 195L, 197L, 184L, 194L, 174L, 180L, 189L, 185L, 180L, 187L, 183L, 187L, 172L, 180L, 178L, 178L, 188L, 184L, 195L, 196L, 190L, 180L, 181L, 184L, 182L, 195L, 186L, 196L, 185L, 190L, 182L, 179L, 190L, 191L, 186L, 188L, 190L, 200L, 187L, 191L, 186L, 193L, 181L, 194L, 185L, 195L, 185L, 192L, 184L, 192L, 195L, 188L, 190L, 198L, 190L, 190L, 196L, 197L, 190L, 195L, 191L, 184L, 187L, 195L, 189L, 196L, 187L, 193L, 191L, 194L, 190L, 189L, 189L, 190L, 202L, 205L, 185L, 186L, 187L, 208L, 190L, 196L, 178L, 192L, 192L, 203L, 183L, 190L, 193L, 184L, 199L, 190L, 181L, 197L, 198L, 191L, 193L, 197L, 191L, 196L, 188L, 199L, 189L, 189L, 187L, 198L, 176L, 202L, 186L, 199L, 191L, 195L, 191L, 210L, 190L, 197L, 193L, 199L, 187L, 190L, 191L, 200L, 185L, 193L, 193L, 187L, 188L, 190L, 192L, 185L, 190L, 184L, 195L, 193L, 187L, 201L, 211L, 230L, 210L, 218L, 215L, 210L, 211L, 219L, 209L, 215L, 214L, 216L, 214L, 213L, 210L, 217L, 210L, 221L, 209L, 222L, 218L, 215L, 213L, 215L, 215L, 215L, 216L, 215L, 210L, 220L, 222L, 209L, 207L, 230L, 220L, 220L, 213L, 219L, 208L, 208L, 208L, 225L, 210L, 216L, 222L, 217L, 210L, 225L, 213L, 215L, 210L, 220L, 210L, 225L, 217L, 220L, 208L, 220L, 208L, 224L, 208L, 221L, 214L, 231L, 219L, 230L, 214L, 229L, 220L, 223L, 216L, 221L, 221L, 217L, 216L, 230L, 209L, 220L, 215L, 223L, 212L, 221L, 212L, 224L, 212L, 228L, 218L, 218L, 212L, 230L, 218L, 228L, 212L, 224L, 214L, 226L, 216L, 222L, 203L, 225L, 219L, 228L, 215L, 228L, 216L, 215L, 210L, 219L, 208L, 209L, 216L, 229L, 213L, 230L, 217L, 230L, 217L, 222L, 214L, NA, 215L, 222L, 212L, 213L, 192L, 196L, 193L, 188L, 197L, 198L, 178L, 197L, 195L, 198L, 193L, 194L, 185L, 201L, 190L, 201L, 197L, 181L, 190L, 195L, 181L, 191L, 187L, 193L, 195L, 197L, 200L, 200L, 191L, 205L, 187L, 201L, 187L, 203L, 195L, 199L, 195L, 210L, 192L, 205L, 210L, 187L, 196L, 196L, 196L, 201L, 190L, 212L, 187L, 198L, 199L, 201L, 193L, 203L, 187L, 197L, 191L, 203L, 202L, 194L, 206L, 189L, 195L, 207L, 202L, 193L, 210L, 198L), body_mass_g = c(3750L, 3800L, 3250L, NA, 3450L, 3650L, 3625L, 4675L, 3475L, 4250L, 3300L, 3700L, 3200L, 3800L, 4400L, 3700L, 3450L, 4500L, 3325L, 4200L, 3400L, 3600L, 3800L, 3950L, 3800L, 3800L, 3550L, 3200L, 3150L, 3950L, 3250L, 3900L, 3300L, 3900L, 3325L, 4150L, 3950L, 3550L, 3300L, 4650L, 3150L, 3900L, 3100L, 4400L, 3000L, 4600L, 3425L, 2975L, 3450L, 4150L, 3500L, 4300L, 3450L, 4050L, 2900L, 3700L, 3550L, 3800L, 2850L, 3750L, 3150L, 4400L, 3600L, 4050L, 2850L, 3950L, 3350L, 4100L, 3050L, 4450L, 3600L, 3900L, 3550L, 4150L, 3700L, 4250L, 3700L, 3900L, 3550L, 4000L, 3200L, 4700L, 3800L, 4200L, 3350L, 3550L, 3800L, 3500L, 3950L, 3600L, 3550L, 4300L, 3400L, 4450L, 3300L, 4300L, 3700L, 4350L, 2900L, 4100L, 3725L, 4725L, 3075L, 4250L, 2925L, 3550L, 3750L, 3900L, 3175L, 4775L, 3825L, 4600L, 3200L, 4275L, 3900L, 4075L, 2900L, 3775L, 3350L, 3325L, 3150L, 3500L, 3450L, 3875L, 3050L, 4000L, 3275L, 4300L, 3050L, 4000L, 3325L, 3500L, 3500L, 4475L, 3425L, 3900L, 3175L, 3975L, 3400L, 4250L, 3400L, 3475L, 3050L, 3725L, 3000L, 3650L, 4250L, 3475L, 3450L, 3750L, 3700L, 4000L, 4500L, 5700L, 4450L, 5700L, 5400L, 4550L, 4800L, 5200L, 4400L, 5150L, 4650L, 5550L, 4650L, 5850L, 4200L, 5850L, 4150L, 6300L, 4800L, 5350L, 5700L, 5000L, 4400L, 5050L, 5000L, 5100L, 4100L, 5650L, 4600L, 5550L, 5250L, 4700L, 5050L, 6050L, 5150L, 5400L, 4950L, 5250L, 4350L, 5350L, 3950L, 5700L, 4300L, 4750L, 5550L, 4900L, 4200L, 5400L, 5100L, 5300L, 4850L, 5300L, 4400L, 5000L, 4900L, 5050L, 4300L, 5000L, 4450L, 5550L, 4200L, 5300L, 4400L, 5650L, 4700L, 5700L, 4650L, 5800L, 4700L, 5550L, 4750L, 5000L, 5100L, 5200L, 4700L, 5800L, 4600L, 6000L, 4750L, 5950L, 4625L, 5450L, 4725L, 5350L, 4750L, 5600L, 4600L, 5300L, 4875L, 5550L, 4950L, 5400L, 4750L, 5650L, 4850L, 5200L, 4925L, 4875L, 4625L, 5250L, 4850L, 5600L, 4975L, 5500L, 4725L, 5500L, 4700L, 5500L, 4575L, 5500L, 5000L, 5950L, 4650L, 5500L, 4375L, 5850L, 4875L, 6000L, 4925L, NA, 4850L, 5750L, 5200L, 5400L, 3500L, 3900L, 3650L, 3525L, 3725L, 3950L, 3250L, 3750L, 4150L, 3700L, 3800L, 3775L, 3700L, 4050L, 3575L, 4050L, 3300L, 3700L, 3450L, 4400L, 3600L, 3400L, 2900L, 3800L, 3300L, 4150L, 3400L, 3800L, 3700L, 4550L, 3200L, 4300L, 3350L, 4100L, 3600L, 3900L, 3850L, 4800L, 2700L, 4500L, 3950L, 3650L, 3550L, 3500L, 3675L, 4450L, 3400L, 4300L, 3250L, 3675L, 3325L, 3950L, 3600L, 4050L, 3350L, 3450L, 3250L, 4050L, 3800L, 3525L, 3950L, 3650L, 3650L, 4000L, 3400L, 3775L, 4100L, 3775L), sex = c("male", "female", "female", NA, "female", "male", "female", "male", NA, NA, NA, NA, "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", NA, "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", NA, "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", NA, "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", NA, "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", NA, "male", "female", NA, "female", "male", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "male", "female"), year = c(2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L)))
     3: `[<-`(`*tmp*`, , value = list(`__tiledb_rows` = 1:344, species = c("Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", 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"Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream"), bill_length_mm = c(39.1, 39.5, 40.3, NA, 36.7, 39.3, 38.9, 39.2, 34.1, 42, 37.8, 37.8, 41.1, 38.6, 34.6, 36.6, 38.7, 42.5, 34.4, 46, 37.8, 37.7, 35.9, 38.2, 38.8, 35.3, 40.6, 40.5, 37.9, 40.5, 39.5, 37.2, 39.5, 40.9, 36.4, 39.2, 38.8, 42.2, 37.6, 39.8, 36.5, 40.8, 36, 44.1, 37, 39.6, 41.1, 37.5, 36, 42.3, 39.6, 40.1, 35, 42, 34.5, 41.4, 39, 40.6, 36.5, 37.6, 35.7, 41.3, 37.6, 41.1, 36.4, 41.6, 35.5, 41.1, 35.9, 41.8, 33.5, 39.7, 39.6, 45.8, 35.5, 42.8, 40.9, 37.2, 36.2, 42.1, 34.6, 42.9, 36.7, 35.1, 37.3, 41.3, 36.3, 36.9, 38.3, 38.9, 35.7, 41.1, 34, 39.6, 36.2, 40.8, 38.1, 40.3, 33.1, 43.2, 35, 41, 37.7, 37.8, 37.9, 39.7, 38.6, 38.2, 38.1, 43.2, 38.1, 45.6, 39.7, 42.2, 39.6, 42.7, 38.6, 37.3, 35.7, 41.1, 36.2, 37.7, 40.2, 41.4, 35.2, 40.6, 38.8, 41.5, 39, 44.1, 38.5, 43.1, 36.8, 37.5, 38.1, 41.1, 35.6, 40.2, 37, 39.7, 40.2, 40.6, 32.1, 40.7, 37.3, 39, 39.2, 36.6, 36, 37.8, 36, 41.5, 46.1, 50, 48.7, 50, 47.6, 46.5, 45.4, 46.7, 43.3, 46.8, 40.9, 49, 45.5, 48.4, 45.8, 49.3, 42, 49.2, 46.2, 48.7, 50.2, 45.1, 46.5, 46.3, 42.9, 46.1, 44.5, 47.8, 48.2, 50, 47.3, 42.8, 45.1, 59.6, 49.1, 48.4, 42.6, 44.4, 44, 48.7, 42.7, 49.6, 45.3, 49.6, 50.5, 43.6, 45.5, 50.5, 44.9, 45.2, 46.6, 48.5, 45.1, 50.1, 46.5, 45, 43.8, 45.5, 43.2, 50.4, 45.3, 46.2, 45.7, 54.3, 45.8, 49.8, 46.2, 49.5, 43.5, 50.7, 47.7, 46.4, 48.2, 46.5, 46.4, 48.6, 47.5, 51.1, 45.2, 45.2, 49.1, 52.5, 47.4, 50, 44.9, 50.8, 43.4, 51.3, 47.5, 52.1, 47.5, 52.2, 45.5, 49.5, 44.5, 50.8, 49.4, 46.9, 48.4, 51.1, 48.5, 55.9, 47.2, 49.1, 47.3, 46.8, 41.7, 53.4, 43.3, 48.1, 50.5, 49.8, 43.5, 51.5, 46.2, 55.1, 44.5, 48.8, 47.2, NA, 46.8, 50.4, 45.2, 49.9, 46.5, 50, 51.3, 45.4, 52.7, 45.2, 46.1, 51.3, 46, 51.3, 46.6, 51.7, 47, 52, 45.9, 50.5, 50.3, 58, 46.4, 49.2, 42.4, 48.5, 43.2, 50.6, 46.7, 52, 50.5, 49.5, 46.4, 52.8, 40.9, 54.2, 42.5, 51, 49.7, 47.5, 47.6, 52, 46.9, 53.5, 49, 46.2, 50.9, 45.5, 50.9, 50.8, 50.1, 49, 51.5, 49.8, 48.1, 51.4, 45.7, 50.7, 42.5, 52.2, 45.2, 49.3, 50.2, 45.6, 51.9, 46.8, 45.7, 55.8, 43.5, 49.6, 50.8, 50.2), bill_depth_mm = c(18.7, 17.4, 18, NA, 19.3, 20.6, 17.8, 19.6, 18.1, 20.2, 17.1, 17.3, 17.6, 21.2, 21.1, 17.8, 19, 20.7, 18.4, 21.5, 18.3, 18.7, 19.2, 18.1, 17.2, 18.9, 18.6, 17.9, 18.6, 18.9, 16.7, 18.1, 17.8, 18.9, 17, 21.1, 20, 18.5, 19.3, 19.1, 18, 18.4, 18.5, 19.7, 16.9, 18.8, 19, 18.9, 17.9, 21.2, 17.7, 18.9, 17.9, 19.5, 18.1, 18.6, 17.5, 18.8, 16.6, 19.1, 16.9, 21.1, 17, 18.2, 17.1, 18, 16.2, 19.1, 16.6, 19.4, 19, 18.4, 17.2, 18.9, 17.5, 18.5, 16.8, 19.4, 16.1, 19.1, 17.2, 17.6, 18.8, 19.4, 17.8, 20.3, 19.5, 18.6, 19.2, 18.8, 18, 18.1, 17.1, 18.1, 17.3, 18.9, 18.6, 18.5, 16.1, 18.5, 17.9, 20, 16, 20, 18.6, 18.9, 17.2, 20, 17, 19, 16.5, 20.3, 17.7, 19.5, 20.7, 18.3, 17, 20.5, 17, 18.6, 17.2, 19.8, 17, 18.5, 15.9, 19, 17.6, 18.3, 17.1, 18, 17.9, 19.2, 18.5, 18.5, 17.6, 17.5, 17.5, 20.1, 16.5, 17.9, 17.1, 17.2, 15.5, 17, 16.8, 18.7, 18.6, 18.4, 17.8, 18.1, 17.1, 18.5, 13.2, 16.3, 14.1, 15.2, 14.5, 13.5, 14.6, 15.3, 13.4, 15.4, 13.7, 16.1, 13.7, 14.6, 14.6, 15.7, 13.5, 15.2, 14.5, 15.1, 14.3, 14.5, 14.5, 15.8, 13.1, 15.1, 14.3, 15, 14.3, 15.3, 15.3, 14.2, 14.5, 17, 14.8, 16.3, 13.7, 17.3, 13.6, 15.7, 13.7, 16, 13.7, 15, 15.9, 13.9, 13.9, 15.9, 13.3, 15.8, 14.2, 14.1, 14.4, 15, 14.4, 15.4, 13.9, 15, 14.5, 15.3, 13.8, 14.9, 13.9, 15.7, 14.2, 16.8, 14.4, 16.2, 14.2, 15, 15, 15.6, 15.6, 14.8, 15, 16, 14.2, 16.3, 13.8, 16.4, 14.5, 15.6, 14.6, 15.9, 13.8, 17.3, 14.4, 14.2, 14, 17, 15, 17.1, 14.5, 16.1, 14.7, 15.7, 15.8, 14.6, 14.4, 16.5, 15, 17, 15.5, 15, 13.8, 16.1, 14.7, 15.8, 14, 15.1, 15.2, 15.9, 15.2, 16.3, 14.1, 16, 15.7, 16.2, 13.7, NA, 14.3, 15.7, 14.8, 16.1, 17.9, 19.5, 19.2, 18.7, 19.8, 17.8, 18.2, 18.2, 18.9, 19.9, 17.8, 20.3, 17.3, 18.1, 17.1, 19.6, 20, 17.8, 18.6, 18.2, 17.3, 17.5, 16.6, 19.4, 17.9, 19, 18.4, 19, 17.8, 20, 16.6, 20.8, 16.7, 18.8, 18.6, 16.8, 18.3, 20.7, 16.6, 19.9, 19.5, 17.5, 19.1, 17, 17.9, 18.5, 17.9, 19.6, 18.7, 17.3, 16.4, 19, 17.3, 19.7, 17.3, 18.8, 16.6, 19.9, 18.8, 19.4, 19.5, 16.5, 17, 19.8, 18.1, 18.2, 19, 18.7), flipper_length_mm = c(181L, 186L, 195L, NA, 193L, 190L, 181L, 195L, 193L, 190L, 186L, 180L, 182L, 191L, 198L, 185L, 195L, 197L, 184L, 194L, 174L, 180L, 189L, 185L, 180L, 187L, 183L, 187L, 172L, 180L, 178L, 178L, 188L, 184L, 195L, 196L, 190L, 180L, 181L, 184L, 182L, 195L, 186L, 196L, 185L, 190L, 182L, 179L, 190L, 191L, 186L, 188L, 190L, 200L, 187L, 191L, 186L, 193L, 181L, 194L, 185L, 195L, 185L, 192L, 184L, 192L, 195L, 188L, 190L, 198L, 190L, 190L, 196L, 197L, 190L, 195L, 191L, 184L, 187L, 195L, 189L, 196L, 187L, 193L, 191L, 194L, 190L, 189L, 189L, 190L, 202L, 205L, 185L, 186L, 187L, 208L, 190L, 196L, 178L, 192L, 192L, 203L, 183L, 190L, 193L, 184L, 199L, 190L, 181L, 197L, 198L, 191L, 193L, 197L, 191L, 196L, 188L, 199L, 189L, 189L, 187L, 198L, 176L, 202L, 186L, 199L, 191L, 195L, 191L, 210L, 190L, 197L, 193L, 199L, 187L, 190L, 191L, 200L, 185L, 193L, 193L, 187L, 188L, 190L, 192L, 185L, 190L, 184L, 195L, 193L, 187L, 201L, 211L, 230L, 210L, 218L, 215L, 210L, 211L, 219L, 209L, 215L, 214L, 216L, 214L, 213L, 210L, 217L, 210L, 221L, 209L, 222L, 218L, 215L, 213L, 215L, 215L, 215L, 216L, 215L, 210L, 220L, 222L, 209L, 207L, 230L, 220L, 220L, 213L, 219L, 208L, 208L, 208L, 225L, 210L, 216L, 222L, 217L, 210L, 225L, 213L, 215L, 210L, 220L, 210L, 225L, 217L, 220L, 208L, 220L, 208L, 224L, 208L, 221L, 214L, 231L, 219L, 230L, 214L, 229L, 220L, 223L, 216L, 221L, 221L, 217L, 216L, 230L, 209L, 220L, 215L, 223L, 212L, 221L, 212L, 224L, 212L, 228L, 218L, 218L, 212L, 230L, 218L, 228L, 212L, 224L, 214L, 226L, 216L, 222L, 203L, 225L, 219L, 228L, 215L, 228L, 216L, 215L, 210L, 219L, 208L, 209L, 216L, 229L, 213L, 230L, 217L, 230L, 217L, 222L, 214L, NA, 215L, 222L, 212L, 213L, 192L, 196L, 193L, 188L, 197L, 198L, 178L, 197L, 195L, 198L, 193L, 194L, 185L, 201L, 190L, 201L, 197L, 181L, 190L, 195L, 181L, 191L, 187L, 193L, 195L, 197L, 200L, 200L, 191L, 205L, 187L, 201L, 187L, 203L, 195L, 199L, 195L, 210L, 192L, 205L, 210L, 187L, 196L, 196L, 196L, 201L, 190L, 212L, 187L, 198L, 199L, 201L, 193L, 203L, 187L, 197L, 191L, 203L, 202L, 194L, 206L, 189L, 195L, 207L, 202L, 193L, 210L, 198L), body_mass_g = c(3750L, 3800L, 3250L, NA, 3450L, 3650L, 3625L, 4675L, 3475L, 4250L, 3300L, 3700L, 3200L, 3800L, 4400L, 3700L, 3450L, 4500L, 3325L, 4200L, 3400L, 3600L, 3800L, 3950L, 3800L, 3800L, 3550L, 3200L, 3150L, 3950L, 3250L, 3900L, 3300L, 3900L, 3325L, 4150L, 3950L, 3550L, 3300L, 4650L, 3150L, 3900L, 3100L, 4400L, 3000L, 4600L, 3425L, 2975L, 3450L, 4150L, 3500L, 4300L, 3450L, 4050L, 2900L, 3700L, 3550L, 3800L, 2850L, 3750L, 3150L, 4400L, 3600L, 4050L, 2850L, 3950L, 3350L, 4100L, 3050L, 4450L, 3600L, 3900L, 3550L, 4150L, 3700L, 4250L, 3700L, 3900L, 3550L, 4000L, 3200L, 4700L, 3800L, 4200L, 3350L, 3550L, 3800L, 3500L, 3950L, 3600L, 3550L, 4300L, 3400L, 4450L, 3300L, 4300L, 3700L, 4350L, 2900L, 4100L, 3725L, 4725L, 3075L, 4250L, 2925L, 3550L, 3750L, 3900L, 3175L, 4775L, 3825L, 4600L, 3200L, 4275L, 3900L, 4075L, 2900L, 3775L, 3350L, 3325L, 3150L, 3500L, 3450L, 3875L, 3050L, 4000L, 3275L, 4300L, 3050L, 4000L, 3325L, 3500L, 3500L, 4475L, 3425L, 3900L, 3175L, 3975L, 3400L, 4250L, 3400L, 3475L, 3050L, 3725L, 3000L, 3650L, 4250L, 3475L, 3450L, 3750L, 3700L, 4000L, 4500L, 5700L, 4450L, 5700L, 5400L, 4550L, 4800L, 5200L, 4400L, 5150L, 4650L, 5550L, 4650L, 5850L, 4200L, 5850L, 4150L, 6300L, 4800L, 5350L, 5700L, 5000L, 4400L, 5050L, 5000L, 5100L, 4100L, 5650L, 4600L, 5550L, 5250L, 4700L, 5050L, 6050L, 5150L, 5400L, 4950L, 5250L, 4350L, 5350L, 3950L, 5700L, 4300L, 4750L, 5550L, 4900L, 4200L, 5400L, 5100L, 5300L, 4850L, 5300L, 4400L, 5000L, 4900L, 5050L, 4300L, 5000L, 4450L, 5550L, 4200L, 5300L, 4400L, 5650L, 4700L, 5700L, 4650L, 5800L, 4700L, 5550L, 4750L, 5000L, 5100L, 5200L, 4700L, 5800L, 4600L, 6000L, 4750L, 5950L, 4625L, 5450L, 4725L, 5350L, 4750L, 5600L, 4600L, 5300L, 4875L, 5550L, 4950L, 5400L, 4750L, 5650L, 4850L, 5200L, 4925L, 4875L, 4625L, 5250L, 4850L, 5600L, 4975L, 5500L, 4725L, 5500L, 4700L, 5500L, 4575L, 5500L, 5000L, 5950L, 4650L, 5500L, 4375L, 5850L, 4875L, 6000L, 4925L, NA, 4850L, 5750L, 5200L, 5400L, 3500L, 3900L, 3650L, 3525L, 3725L, 3950L, 3250L, 3750L, 4150L, 3700L, 3800L, 3775L, 3700L, 4050L, 3575L, 4050L, 3300L, 3700L, 3450L, 4400L, 3600L, 3400L, 2900L, 3800L, 3300L, 4150L, 3400L, 3800L, 3700L, 4550L, 3200L, 4300L, 3350L, 4100L, 3600L, 3900L, 3850L, 4800L, 2700L, 4500L, 3950L, 3650L, 3550L, 3500L, 3675L, 4450L, 3400L, 4300L, 3250L, 3675L, 3325L, 3950L, 3600L, 4050L, 3350L, 3450L, 3250L, 4050L, 3800L, 3525L, 3950L, 3650L, 3650L, 4000L, 3400L, 3775L, 4100L, 3775L), sex = c("male", "female", "female", NA, "female", "male", "female", "male", NA, NA, NA, NA, "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", NA, "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", NA, "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", NA, "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", NA, "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", NA, "male", "female", NA, "female", "male", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "male", "female"), year = c(2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L)))
     4: fromDataFrame(dat2, uri, filter = name)
     5: eval(expr, envir = e)
     6: eval(expr, envir = e)
     7: FUN(X[[i]], ...)
     8: lapply(basename(testfiles), run_test_file, at_home = at_home, verbose = verbose, color = color, remove_side_effects = remove_side_effects, ...)
     9: run_test_dir(testdir, at_home = at_home, cluster = cluster, ...)
     10: tinytest::test_package("tiledb")
     An irrecoverable exception occurred. R is aborting now ...
     Illegal instruction
Flavor: r-devel-linux-x86_64-debian-clang

Version: 0.13.0
Check: installed package size
Result: NOTE
     installed size is 57.5Mb
     sub-directories of 1Mb or more:
     libs 8.7Mb
     tiledb 46.8Mb
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-windows-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64

Version: 0.13.0
Check: tests
Result: ERROR
     Running ‘tinytest.R’ [33s/41s]
    Running the tests in ‘tests/tinytest.R’ failed.
    Complete output:
     >
     > if (requireNamespace("tinytest", quietly=TRUE)) {
     +
     + ## Set a seed to make the test deterministic
     + set.seed(42)
     +
     + ## R makes us to this
     + Sys.setenv("R_TESTS"="")
     +
     + ## there are several more granular ways to test files in a tinytest directory,
     + ## see its package vignette; tests can also run once the package is installed
     + ## using the same command `test_package(pkgName)`, or by director or file
     + tinytest::test_package("tiledb")
     + }
    
     test_arrayschema.R............ 0 tests
     test_arrayschema.R............ 0 tests
     test_arrayschema.R............ 0 tests
     test_arrayschema.R............ 0 tests
     test_arrayschema.R............ 0 tests
     test_arrayschema.R............ 0 tests
     test_arrayschema.R............ 0 tests
     test_arrayschema.R............ 0 tests
     test_arrayschema.R............ 0 tests
     test_arrayschema.R............ 1 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 1 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 1 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 1 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 1 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 1 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 2 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 2 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 3 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 4 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 5 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 5 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 6 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 7 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 8 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 9 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 10 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 10 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 10 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 10 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 10 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 10 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 10 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 10 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 11 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 11 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 12 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 13 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 14 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 15 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 15 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 16 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 17 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 18 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 19 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 20 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 21 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 21 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 22 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 23 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 24 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 25 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 26 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 26 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 27 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 28 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 28 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 28 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 28 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 29 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 29 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 30 tests <1b>[0;32mOK<1b>[0m <1b>[0;34m0.3s<1b>[0m
    
     test_arrayschemaevolution.R... 0 tests
     test_arrayschemaevolution.R... 0 tests
     test_arrayschemaevolution.R... 0 tests
     test_arrayschemaevolution.R... 0 tests
     test_arrayschemaevolution.R... 0 tests
     test_arrayschemaevolution.R... 0 tests
     test_arrayschemaevolution.R... 0 tests
     test_arrayschemaevolution.R... 0 tests
     test_arrayschemaevolution.R... 0 tests
     test_arrayschemaevolution.R... 0 tests
     test_arrayschemaevolution.R... 0 tests
     test_arrayschemaevolution.R... 0 tests
     test_arrayschemaevolution.R... 0 tests
     test_arrayschemaevolution.R... 0 tests
     test_arrayschemaevolution.R... 1 tests <1b>[0;32mOK<1b>[0m
     test_arrayschemaevolution.R... 2 tests <1b>[0;32mOK<1b>[0m
     test_arrayschemaevolution.R... 2 tests <1b>[0;32mOK<1b>[0m
     test_arrayschemaevolution.R... 2 tests <1b>[0;32mOK<1b>[0m
     test_arrayschemaevolution.R... 2 tests <1b>[0;32mOK<1b>[0m
     test_arrayschemaevolution.R... 2 tests <1b>[0;32mOK<1b>[0m
     test_arrayschemaevolution.R... 2 tests <1b>[0;32mOK<1b>[0m
     test_arrayschemaevolution.R... 3 tests <1b>[0;32mOK<1b>[0m
     test_arrayschemaevolution.R... 4 tests <1b>[0;32mOK<1b>[0m <1b>[0;34m0.5s<1b>[0m
    
     test_arrowio.R................ 0 tests
     test_arrowio.R................ 0 tests
     test_arrowio.R................ 0 tests
     test_arrowio.R................ 0 tests
     test_arrowio.R................ 0 tests
     test_arrowio.R................ 0 tests
     test_arrowio.R................ 0 tests <1b>[0;36m15ms<1b>[0m [Exited at #12: No 'arrow' package.]
    
     test_attr.R................... 0 tests
     test_attr.R................... 0 tests
     test_attr.R................... 0 tests
     test_attr.R................... 0 tests
     test_attr.R................... 0 tests
     test_attr.R................... 1 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 1 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 2 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 3 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 4 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 5 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 5 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 6 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 6 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 7 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 7 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 7 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 8 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 9 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 10 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 11 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 11 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 12 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 13 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 13 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 14 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 14 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 15 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 15 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 17 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 18 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 18 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 18 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 18 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 18 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 18 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 18 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 19 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 19 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 19 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 19 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 19 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 19 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 19 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 19 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 19 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 19 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 19 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 19 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 19 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 19 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 19 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 19 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 19 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 19 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 20 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 20 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 20 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 20 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 21 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 21 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 22 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 23 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 24 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 24 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 25 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 25 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 26 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 26 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 26 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 26 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 26 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 26 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 26 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 26 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 26 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 26 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 26 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 26 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 27 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 28 tests <1b>[0;32mOK<1b>[0m <1b>[0;34m0.7s<1b>[0m
    
     test_config.R................. 0 tests
     test_config.R................. 0 tests
     test_config.R................. 0 tests
     test_config.R................. 0 tests
     test_config.R................. 1 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 1 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 2 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 3 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 4 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 5 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 6 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 6 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 6 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 7 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 7 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 8 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 8 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 9 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 9 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 10 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 10 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 11 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 12 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 12 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 12 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 13 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 13 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 13 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 13 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 13 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 13 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 13 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 13 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 14 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 14 tests <1b>[0;32mOK<1b>[0m
     test_config.R................. 15 tests <1b>[0;32mOK<1b>[0m <1b>[0;36m54ms<1b>[0m
    
     test_ctx.R.................... 0 tests
     test_ctx.R.................... 0 tests
     test_ctx.R.................... 0 tests
     test_ctx.R.................... 0 tests
     test_ctx.R.................... 0 tests
     test_ctx.R.................... 0 tests
     test_ctx.R.................... 1 tests <1b>[0;32mOK<1b>[0m
     test_ctx.R.................... 1 tests <1b>[0;32mOK<1b>[0m
     test_ctx.R.................... 1 tests <1b>[0;32mOK<1b>[0m
     test_ctx.R.................... 2 tests <1b>[0;32mOK<1b>[0m
     test_ctx.R.................... 2 tests <1b>[0;32mOK<1b>[0m
     test_ctx.R.................... 3 tests <1b>[0;32mOK<1b>[0m
     test_ctx.R.................... 3 tests <1b>[0;32mOK<1b>[0m
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     test_dimsubset.R.............. 0 tests
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     test_dimsubset.R.............. 0 tests
     test_dimsubset.R.............. 0 tests
     test_dimsubset.R.............. 0 tests
     test_dimsubset.R.............. 0 tests
     test_dimsubset.R.............. 0 tests
     test_dimsubset.R.............. 0 tests
     test_dimsubset.R.............. 0 tests
     test_dimsubset.R.............. 0 tests
     test_dimsubset.R.............. 0 tests
     test_dimsubset.R.............. 0 tests
     test_dimsubset.R.............. 0 tests
     test_dimsubset.R.............. 0 tests
     test_dimsubset.R.............. 0 tests
     test_dimsubset.R.............. 0 tests
     test_dimsubset.R.............. 0 tests
     test_dimsubset.R.............. 0 tests
     test_dimsubset.R.............. 1 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 2 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 3 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 3 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 3 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 4 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 5 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 6 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 6 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 6 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 7 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 7 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 7 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 8 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 8 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 8 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 9 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 9 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 9 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 9 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 10 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 11 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 11 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 11 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 12 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 13 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 13 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 13 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 14 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 15 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 15 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 15 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 16 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 17 tests <1b>[0;32mOK<1b>[0m <1b>[0;34m24.9s<1b>[0m
    
     test_domain.R................. 0 tests
     test_domain.R................. 0 tests
     test_domain.R................. 0 tests
     test_domain.R................. 0 tests
     test_domain.R................. 0 tests
     test_domain.R................. 0 tests
     test_domain.R................. 0 tests
     test_domain.R................. 1 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 1 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 1 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 1 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 1 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 2 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 3 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 3 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 3 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 3 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 4 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 4 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 4 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 4 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 4 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 4 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 5 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 6 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 7 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 8 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 9 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 10 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 11 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 12 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 13 tests <1b>[0;32mOK<1b>[0m <1b>[0;36m42ms<1b>[0m
    
     test_filestore.R.............. 0 tests
     test_filestore.R.............. 0 tests
     test_filestore.R.............. 0 tests
     test_filestore.R.............. 0 tests <1b>[0;36m19ms<1b>[0m [Exited at #8: Needs TileDB 2.9.* or later]
    
     test_filter.R................. 0 tests
     test_filter.R................. 0 tests
     test_filter.R................. 0 tests
     test_filter.R................. 0 tests
     test_filter.R................. 0 tests
     test_filter.R................. 0 tests
     test_filter.R................. 1 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 1 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 2 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 2 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 15 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 15 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 16 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 17 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 17 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 27 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 27 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 27 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 28 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 28 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 28 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 29 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 29 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 29 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 29 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 29 tests <1b>[0;32mOK<1b>[0m
     *** caught illegal operation ***
     address 0x7fe6e13da863, cause 'illegal operand'
    
     *** caught illegal operation ***
     address 0x7fe6e13da863, cause 'illegal operand'
    
     Traceback:
     1: libtiledb_query_submit(qryptr)
     2: `[<-`(`*tmp*`, , value = list(`__tiledb_rows` = 1:344, species = c("Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap"), island = c("Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream"), bill_length_mm = c(39.1, 39.5, 40.3, NA, 36.7, 39.3, 38.9, 39.2, 34.1, 42, 37.8, 37.8, 41.1, 38.6, 34.6, 36.6, 38.7, 42.5, 34.4, 46, 37.8, 37.7, 35.9, 38.2, 38.8, 35.3, 40.6, 40.5, 37.9, 40.5, 39.5, 37.2, 39.5, 40.9, 36.4, 39.2, 38.8, 42.2, 37.6, 39.8, 36.5, 40.8, 36, 44.1, 37, 39.6, 41.1, 37.5, 36, 42.3, 39.6, 40.1, 35, 42, 34.5, 41.4, 39, 40.6, 36.5, 37.6, 35.7, 41.3, 37.6, 41.1, 36.4, 41.6, 35.5, 41.1, 35.9, 41.8, 33.5, 39.7, 39.6, 45.8, 35.5, 42.8, 40.9, 37.2, 36.2, 42.1, 34.6, 42.9, 36.7, 35.1, 37.3, 41.3, 36.3, 36.9, 38.3, 38.9, 35.7, 41.1, 34, 39.6, 36.2, 40.8, 38.1, 40.3, 33.1, 43.2, 35, 41, 37.7, 37.8, 37.9, 39.7, 38.6, 38.2, 38.1, 43.2, 38.1, 45.6, 39.7, 42.2, 39.6, 42.7, 38.6, 37.3, 35.7, 41.1, 36.2, 37.7, 40.2, 41.4, 35.2, 40.6, 38.8, 41.5, 39, 44.1, 38.5, 43.1, 36.8, 37.5, 38.1, 41.1, 35.6, 40.2, 37, 39.7, 40.2, 40.6, 32.1, 40.7, 37.3, 39, 39.2, 36.6, 36, 37.8, 36, 41.5, 46.1, 50, 48.7, 50, 47.6, 46.5, 45.4, 46.7, 43.3, 46.8, 40.9, 49, 45.5, 48.4, 45.8, 49.3, 42, 49.2, 46.2, 48.7, 50.2, 45.1, 46.5, 46.3, 42.9, 46.1, 44.5, 47.8, 48.2, 50, 47.3, 42.8, 45.1, 59.6, 49.1, 48.4, 42.6, 44.4, 44, 48.7, 42.7, 49.6, 45.3, 49.6, 50.5, 43.6, 45.5, 50.5, 44.9, 45.2, 46.6, 48.5, 45.1, 50.1, 46.5, 45, 43.8, 45.5, 43.2, 50.4, 45.3, 46.2, 45.7, 54.3, 45.8, 49.8, 46.2, 49.5, 43.5, 50.7, 47.7, 46.4, 48.2, 46.5, 46.4, 48.6, 47.5, 51.1, 45.2, 45.2, 49.1, 52.5, 47.4, 50, 44.9, 50.8, 43.4, 51.3, 47.5, 52.1, 47.5, 52.2, 45.5, 49.5, 44.5, 50.8, 49.4, 46.9, 48.4, 51.1, 48.5, 55.9, 47.2, 49.1, 47.3, 46.8, 41.7, 53.4, 43.3, 48.1, 50.5, 49.8, 43.5, 51.5, 46.2, 55.1, 44.5, 48.8, 47.2, NA, 46.8, 50.4, 45.2, 49.9, 46.5, 50, 51.3, 45.4, 52.7, 45.2, 46.1, 51.3, 46, 51.3, 46.6, 51.7, 47, 52, 45.9, 50.5, 50.3, 58, 46.4, 49.2, 42.4, 48.5, 43.2, 50.6, 46.7, 52, 50.5, 49.5, 46.4, 52.8, 40.9, 54.2, 42.5, 51, 49.7, 47.5, 47.6, 52, 46.9, 53.5, 49, 46.2, 50.9, 45.5, 50.9, 50.8, 50.1, 49, 51.5, 49.8, 48.1, 51.4, 45.7, 50.7, 42.5, 52.2, 45.2, 49.3, 50.2, 45.6, 51.9, 46.8, 45.7, 55.8, 43.5, 49.6, 50.8, 50.2), bill_depth_mm = c(18.7, 17.4, 18, NA, 19.3, 20.6, 17.8, 19.6, 18.1, 20.2, 17.1, 17.3, 17.6, 21.2, 21.1, 17.8, 19, 20.7, 18.4, 21.5, 18.3, 18.7, 19.2, 18.1, 17.2, 18.9, 18.6, 17.9, 18.6, 18.9, 16.7, 18.1, 17.8, 18.9, 17, 21.1, 20, 18.5, 19.3, 19.1, 18, 18.4, 18.5, 19.7, 16.9, 18.8, 19, 18.9, 17.9, 21.2, 17.7, 18.9, 17.9, 19.5, 18.1, 18.6, 17.5, 18.8, 16.6, 19.1, 16.9, 21.1, 17, 18.2, 17.1, 18, 16.2, 19.1, 16.6, 19.4, 19, 18.4, 17.2, 18.9, 17.5, 18.5, 16.8, 19.4, 16.1, 19.1, 17.2, 17.6, 18.8, 19.4, 17.8, 20.3, 19.5, 18.6, 19.2, 18.8, 18, 18.1, 17.1, 18.1, 17.3, 18.9, 18.6, 18.5, 16.1, 18.5, 17.9, 20, 16, 20, 18.6, 18.9, 17.2, 20, 17, 19, 16.5, 20.3, 17.7, 19.5, 20.7, 18.3, 17, 20.5, 17, 18.6, 17.2, 19.8, 17, 18.5, 15.9, 19, 17.6, 18.3, 17.1, 18, 17.9, 19.2, 18.5, 18.5, 17.6, 17.5, 17.5, 20.1, 16.5, 17.9, 17.1, 17.2, 15.5, 17, 16.8, 18.7, 18.6, 18.4, 17.8, 18.1, 17.1, 18.5, 13.2, 16.3, 14.1, 15.2, 14.5, 13.5, 14.6, 15.3, 13.4, 15.4, 13.7, 16.1, 13.7, 14.6, 14.6, 15.7, 13.5, 15.2, 14.5, 15.1, 14.3, 14.5, 14.5, 15.8, 13.1, 15.1, 14.3, 15, 14.3, 15.3, 15.3, 14.2, 14.5, 17, 14.8, 16.3, 13.7, 17.3, 13.6, 15.7, 13.7, 16, 13.7, 15, 15.9, 13.9, 13.9, 15.9, 13.3, 15.8, 14.2, 14.1, 14.4, 15, 14.4, 15.4, 13.9, 15, 14.5, 15.3, 13.8, 14.9, 13.9, 15.7, 14.2, 16.8, 14.4, 16.2, 14.2, 15, 15, 15.6, 15.6, 14.8, 15, 16, 14.2, 16.3, 13.8, 16.4, 14.5, 15.6, 14.6, 15.9, 13.8, 17.3, 14.4, 14.2, 14, 17, 15, 17.1, 14.5, 16.1, 14.7, 15.7, 15.8, 14.6, 14.4, 16.5, 15, 17, 15.5, 15, 13.8, 16.1, 14.7, 15.8, 14, 15.1, 15.2, 15.9, 15.2, 16.3, 14.1, 16, 15.7, 16.2, 13.7, NA, 14.3, 15.7, 14.8, 16.1, 17.9, 19.5, 19.2, 18.7, 19.8, 17.8, 18.2, 18.2, 18.9, 19.9, 17.8, 20.3, 17.3, 18.1, 17.1, 19.6, 20, 17.8, 18.6, 18.2, 17.3, 17.5, 16.6, 19.4, 17.9, 19, 18.4, 19, 17.8, 20, 16.6, 20.8, 16.7, 18.8, 18.6, 16.8, 18.3, 20.7, 16.6, 19.9, 19.5, 17.5, 19.1, 17, 17.9, 18.5, 17.9, 19.6, 18.7, 17.3, 16.4, 19, 17.3, 19.7, 17.3, 18.8, 16.6, 19.9, 18.8, 19.4, 19.5, 16.5, 17, 19.8, 18.1, 18.2, 19, 18.7), flipper_length_mm = c(181L, 186L, 195L, NA, 193L, 190L, 181L, 195L, 193L, 190L, 186L, 180L, 182L, 191L, 198L, 185L, 195L, 197L, 184L, 194L, 174L, 180L, 189L, 185L, 180L, 187L, 183L, 187L, 172L, 180L, 178L, 178L, 188L, 184L, 195L, 196L, 190L, 180L, 181L, 184L, 182L, 195L, 186L, 196L, 185L, 190L, 182L, 179L, 190L, 191L, 186L, 188L, 190L, 200L, 187L, 191L, 186L, 193L, 181L, 194L, 185L, 195L, 185L, 192L, 184L, 192L, 195L, 188L, 190L, 198L, 190L, 190L, 196L, 197L, 190L, 195L, 191L, 184L, 187L, 195L, 189L, 196L, 187L, 193L, 191L, 194L, 190L, 189L, 189L, 190L, 202L, 205L, 185L, 186L, 187L, 208L, 190L, 196L, 178L, 192L, 192L, 203L, 183L, 190L, 193L, 184L, 199L, 190L, 181L, 197L, 198L, 191L, 193L, 197L, 191L, 196L, 188L, 199L, 189L, 189L, 187L, 198L, 176L, 202L, 186L, 199L, 191L, 195L, 191L, 210L, 190L, 197L, 193L, 199L, 187L, 190L, 191L, 200L, 185L, 193L, 193L, 187L, 188L, 190L, 192L, 185L, 190L, 184L, 195L, 193L, 187L, 201L, 211L, 230L, 210L, 218L, 215L, 210L, 211L, 219L, 209L, 215L, 214L, 216L, 214L, 213L, 210L, 217L, 210L, 221L, 209L, 222L, 218L, 215L, 213L, 215L, 215L, 215L, 216L, 215L, 210L, 220L, 222L, 209L, 207L, 230L, 220L, 220L, 213L, 219L, 208L, 208L, 208L, 225L, 210L, 216L, 222L, 217L, 210L, 225L, 213L, 215L, 210L, 220L, 210L, 225L, 217L, 220L, 208L, 220L, 208L, 224L, 208L, 221L, 214L, 231L, 219L, 230L, 214L, 229L, 220L, 223L, 216L, 221L, 221L, 217L, 216L, 230L, 209L, 220L, 215L, 223L, 212L, 221L, 212L, 224L, 212L, 228L, 218L, 218L, 212L, 230L, 218L, 228L, 212L, 224L, 214L, 226L, 216L, 222L, 203L, 225L, 219L, 228L, 215L, 228L, 216L, 215L, 210L, 219L, 208L, 209L, 216L, 229L, 213L, 230L, 217L, 230L, 217L, 222L, 214L, NA, 215L, 222L, 212L, 213L, 192L, 196L, 193L, 188L, 197L, 198L, 178L, 197L, 195L, 198L, 193L, 194L, 185L, 201L, 190L, 201L, 197L, 181L, 190L, 195L, 181L, 191L, 187L, 193L, 195L, 197L, 200L, 200L, 191L, 205L, 187L, 201L, 187L, 203L, 195L, 199L, 195L, 210L, 192L, 205L, 210L, 187L, 196L, 196L, 196L, 201L, 190L, 212L, 187L, 198L, 199L, 201L, 193L, 203L, 187L, 197L, 191L, 203L, 202L, 194L, 206L, 189L, 195L, 207L, 202L, 193L, 210L, 198L), body_mass_g = c(3750L, 3800L, 3250L, NA, 3450L, 3650L, 3625L, 4675L, 3475L, 4250L, 3300L, 3700L, 3200L, 3800L, 4400L, 3700L, 3450L, 4500L, 3325L, 4200L, 3400L, 3600L, 3800L, 3950L, 3800L, 3800L, 3550L, 3200L, 3150L, 3950L, 3250L, 3900L, 3300L, 3900L, 3325L, 4150L, 3950L, 3550L, 3300L, 4650L, 3150L, 3900L, 3100L, 4400L, 3000L, 4600L, 3425L, 2975L, 3450L, 4150L, 3500L, 4300L, 3450L, 4050L, 2900L, 3700L, 3550L, 3800L, 2850L, 3750L, 3150L, 4400L, 3600L, 4050L, 2850L, 3950L, 3350L, 4100L, 3050L, 4450L, 3600L, 3900L, 3550L, 4150L, 3700L, 4250L, 3700L, 3900L, 3550L, 4000L, 3200L, 4700L, 3800L, 4200L, 3350L, 3550L, 3800L, 3500L, 3950L, 3600L, 3550L, 4300L, 3400L, 4450L, 3300L, 4300L, 3700L, 4350L, 2900L, 4100L, 3725L, 4725L, 3075L, 4250L, 2925L, 3550L, 3750L, 3900L, 3175L, 4775L, 3825L, 4600L, 3200L, 4275L, 3900L, 4075L, 2900L, 3775L, 3350L, 3325L, 3150L, 3500L, 3450L, 3875L, 3050L, 4000L, 3275L, 4300L, 3050L, 4000L, 3325L, 3500L, 3500L, 4475L, 3425L, 3900L, 3175L, 3975L, 3400L, 4250L, 3400L, 3475L, 3050L, 3725L, 3000L, 3650L, 4250L, 3475L, 3450L, 3750L, 3700L, 4000L, 4500L, 5700L, 4450L, 5700L, 5400L, 4550L, 4800L, 5200L, 4400L, 5150L, 4650L, 5550L, 4650L, 5850L, 4200L, 5850L, 4150L, 6300L, 4800L, 5350L, 5700L, 5000L, 4400L, 5050L, 5000L, 5100L, 4100L, 5650L, 4600L, 5550L, 5250L, 4700L, 5050L, 6050L, 5150L, 5400L, 4950L, 5250L, 4350L, 5350L, 3950L, 5700L, 4300L, 4750L, 5550L, 4900L, 4200L, 5400L, 5100L, 5300L, 4850L, 5300L, 4400L, 5000L, 4900L, 5050L, 4300L, 5000L, 4450L, 5550L, 4200L, 5300L, 4400L, 5650L, 4700L, 5700L, 4650L, 5800L, 4700L, 5550L, 4750L, 5000L, 5100L, 5200L, 4700L, 5800L, 4600L, 6000L, 4750L, 5950L, 4625L, 5450L, 4725L, 5350L, 4750L, 5600L, 4600L, 5300L, 4875L, 5550L, 4950L, 5400L, 4750L, 5650L, 4850L, 5200L, 4925L, 4875L, 4625L, 5250L, 4850L, 5600L, 4975L, 5500L, 4725L, 5500L, 4700L, 5500L, 4575L, 5500L, 5000L, 5950L, 4650L, 5500L, 4375L, 5850L, 4875L, 6000L, 4925L, NA, 4850L, 5750L, 5200L, 5400L, 3500L, 3900L, 3650L, 3525L, 3725L, 3950L, 3250L, 3750L, 4150L, 3700L, 3800L, 3775L, 3700L, 4050L, 3575L, 4050L, 3300L, 3700L, 3450L, 4400L, 3600L, 3400L, 2900L, 3800L, 3300L, 4150L, 3400L, 3800L, 3700L, 4550L, 3200L, 4300L, 3350L, 4100L, 3600L, 3900L, 3850L, 4800L, 2700L, 4500L, 3950L, 3650L, 3550L, 3500L, 3675L, 4450L, 3400L, 4300L, 3250L, 3675L, 3325L, 3950L, 3600L, 4050L, 3350L, 3450L, 3250L, 4050L, 3800L, 3525L, 3950L, 3650L, 3650L, 4000L, 3400L, 3775L, 4100L, 3775L), sex = c("male", "female", "female", NA, "female", "male", "female", "male", NA, NA, NA, NA, "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", NA, "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", NA, "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", NA, "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", NA, "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", NA, "male", "female", NA, "female", "male", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "male", "female"), year = c(2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L)))
     3: `[<-`(`*tmp*`, , value = list(`__tiledb_rows` = 1:344, species = c("Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap"), island = c("Torgersen", "Torgersen", "Torgersen", "Torgersen", `*tmpersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Adelersen", "Torgersen", "Torgersen", "Adelie", "Torgersen", "Adelie"en", "Torgersen", "Adrgersen", "Torgersen", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Adelm", "Adeam", "Dream", "Dream", "Dream", "Adelm", "Dream", "Dream", "Dream", "Dream", "Adeam", "Adecoe", "Adeloe", "Adeloe", "Adeloe", "Adelie", "Adelie", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Torgersen", "Torgersen", "Adrgersen", "Torgersen", "Torgersen", "Adeliesen", "Adelie", "Torgersen", "Aorgersen", "Adeliesen", "Torgersen", "Torgersen", "Adelie"en", "Torgersen", "Adelirsen", "Torgersen", "Adeam", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Adeli", "Adeam", "Dream", "Adeli", "Aream", "Aiscoe", "Aiscoe", "Aiscoe", "Aiscoe", "Aiscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Adelie", "Torgersen", "Torgersen", "Adelie"en", "Torgersen", "Adegersen", "Torgersen", "Torgersen", "Adegersen", "Torgersen", "Torgersen", "Adelie", "Aorgersen", "Torgersen", "Torgersen", "Adelie", "Adelm", "Dream", "Dream", "Dream", "Dream", "Gento", "Geeam", "Dream", "Dreamo", "Geeam", "Dream", "Dream", "Dream", "Dream", "Dream", "Gento", "Geeam", "Dream", "Dream", "Dream", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Gescoe", "Gescoe", "Gescoe", "Gencoe", "Gentoe", "Gentoe", "Gentoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Giscoe", "Giscoe", "Giscoe", "Gescoe", "Gescoe", "Gescoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Gentoe", "Gentoe", "Gentoe", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Gencoe", "Gencoe", "Gencoe", "Gencoe", "Gencoe", "Gentoe", "Gentoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Gescoe", "Gencoe", "Gencoe", "Gencoe", "Gentoe", "Gentoe", "Gentoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Gentoe", "Gencoe", "Gentoe", "Gentoe", "Gentoe", "Gentoo", "Gentoo", "Gescoe", "Gescoe", "Gencoe", "Gentoe", "Gentoe", "Gentoo", "Gentoo", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Chscoe", "Biscoe", "Biscoe", "Biscoe"ap", "Biscoe", "Chinoe", "Biscoe", "Biscoe", "Biscoe", "Chicoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Chscoe", "Biscoe", "Biscoe", "Biscoe", "Chscoe", "Biscoe", "Biscoe"ap", "Ciscoe", "Dream", "Dream", "Dream", "Dream", "Dream", "Dreamtrap", "Dream", "Dream", "Dreamtr", "Dream", "Dream", , "Dream", "Dream", "Dream", "Chins", "Dream", "Dream", "Chiam", "Dream", "Dream", "Dream", "Chinm", "Dream", "Dream", "Cheam", "Dream", "Dream", "Dream", "Cream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dreamtrap", "Dream", "Dream", "Dreamtrap", "Dreamtr "Dream", "Dream", "Dreamtrap", "Dream", "Dream", "Dreamtrap", , "Dream", "Dream", "Chinm", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream"rap", "Dream", "Dream", "Dream", "Dreamt, "Dream", "Dream", "Dream"rap", "Dream"), bill_length_mm = c(39.1, 39.5, 40.3, NA, 36.7, 39.3, 38.9, 39.2, 34.1, 42, 37.8, 37.8, 41.1, 38.6, 34.6, 36.6, 38.7, 42.5, 34.4, 46, 37.8, 37.7, 35.9, 38.2, 38.8, 35.3, 40.6, 40.5, 37.9, 40.5, 39.5, 37.2, 39.5, 40.9, 36.4, 39.2, 38.8, 42.2, 37.6, 39.8, 36.5, 40.8, 36, 44.1, 37, 39.6, 41.1, 37.5, 36, 42.3, 39.6, 40.1, 35, 42, 34.5, 41.4, 39, 40.6, 36.5, 37.6, 35.7, 41.3, 37.6, 41.1, 36.4, 41.6, 35.5, 41.1, 35.9, 41.8, 33.5, 39.7, 39.6, 45.8, 35.5, 42.8, 40.9, 37.2, 36.2, 42.1, 34.6, 42.9, 36.7, 35.1, 37.3, 41.3, 36.3, 36.9, 38.3, 38.9, 35.7, 41.1, 34, 39.6, 36.2, 40.8, 38.1, 40.3, 33.1, 43.2, 35, 41, 37.7, 37.8, 37.9, 39.7, 38.6, 38.2, 38.1, 43.2, 38.1, 45.6, 39.7, 42.2, 39.6, 42.7, 38.6, 37.3, 35.7, 41.1, 36.2, 37.7, 40.2, 41.4, 35.2, 40.6, 38.8, 41.5, 39, 44.1, 38.5, 43.1, 36.8, 37.5, 38.1, 41.1, 35.6, 40.2, 37, 39.7, 40.2, 40.6, 32.1, 40.7, 37.3, 39, 39.2, 36.6, 36, 37.8, 36, 41.5, 46.1, 50, 48.7, 50, 47.6, 46.5, 45.4, 46.7, 43.3, 46.8, 40.9, 49, 45.5, 48.4, 45.8, 49.3, 42, 49.2, 46.2, 48.7, 50.2, 45.1, 46.5, 46.3, 42.9, 46.1, 44.5, 47.8, 48.2, 50, 47.3, 42.8, 45.1, 59.6, 49.1, 48.4, 42.6, 44.4, 44, 48.7, 42.7, 49.6, 45.3, 49.6, 50.5, 43.6, 45.5, 50.5, 44.9, 45.2, 46.6, 48.5, 45.1, 50.1, 46.5, 45, 43.8, 45.5, 43.2, 50.4, 45.3, 46.2, 45.7, 54.3, 45.8, 49.8, 46.2, 49.5, 43.5, 50.7, 47.7, 46.4, 48.2, 46.5, 46.4, 48.6, 47.5, 51.1, 45.2, 45.2, 49.1, 52.5, 47.4, 50, 44.9, 50.8, 43.4, 51.3, 47.5, 52.1, 47.5, 52.2, 45.5, 49.5, 44.5, 37.8, 49.4, 46.9, 48.4, , , , , , , , 41.7, , , , 50.5, 49.8, 43.5, 37.2, 46.2, 40.9, 36.4, 48.8, 38.8, NA, 46.8, 50.4, 45.2, 49.9, 46.5, 44.1, 51.3, 45.4, 52.7, 45.2, 46, 42.3, 39.6, 51.3, 46.6, 51.7, 47, 52, 45.9, 50.5, 50.3, 58, 46.4, 49.2, 42.4, 48.5, 41.6, 35.5, 46.7, 35, 41.8, 33.5, 46.4, 52.8, 45.8, 35.5, 42.8, 51, 49.7, 47.5, 47.6, 52, 46.9, 36.7, 35, 37.3, 41.3, 36.3, 36.9, 50.8, 50.1, 41, 51, 49.8, 36.2, 51.4, 45.7, 40.3, 42.5, 52.2, 45.2, 49.3, 50.2, 45.6, 51.9, 46.8, 45.7, 55.8, 43.5, 43.2, 50.8, 50.2), bill_depth_mm = c(39.6, 17.4, 18, NA, 19.3, 20.6, 17.8, 19.6, 18.1, 20.2, 17.1, 17.3, 17.6, 21.2, 21.1, 17.8, 19, , 18.4, 21.5, 18.3, 18.7, 19.2, 18.1, 17.2, 18.9, 18.6, 17.9, 18.6, 18.9, , , 17.8, , , , , , 19.3, 19.1, 18, 18.4, 18.5, 19.7, 16.9, 18.8, 40.9, 49, 17.9, 48.4, 45.8, 49.3, 17.9, 19.5, 18.1, 18.6, 17.5, 18.8, 16.6, 19.1, 16.9, 21.1, 17, 18.2, 48.2, 18, 16.2, 19.1, 16.6, 19.4, 19, 18.4, 17.2, 18.9, 17.5, 18.5, 16.8, 45.3, 49.6, 19.1, 17.2, 45.5, 18.8, 44.9, 45.2, 46.6, 48.5, 18.6, 19.2, 18.8, 18, 50.4, 45.3, 46.2, 45.7, 54.3, 45.8, 49.8, 16.1, 18.5, 17.9, 20, 16, 20, 18.6, 18.9, 17.2, 47.5, 51, 45.2, 46.5, 20.3, 17.7, 19.5, 20.7, 18.3, 17, 43.4, 51.3, 47.5, 17.2, 19.8, 17, 18.5, 15.9, 19, 17.6, 18.3, 17.1, 48, 17.9, 19.2, 55.9, 18.5, 17.6, 17.5, 17.5, 20.1, 16.5, 17.9, 17.1, 17.2, 49.8, 43.5, 16.8, 18.7, 18.6, 18.4, 17.8, , 17.1, 50.4, 13.2, 49.9, 14.1, 15.2, 14.5, 13.5, 14.6, 15.3, 13.4, 15.4, 13.7, 16.1, 46.6, 14.6, 14.6, 50.5, 50.3, 15.2, 14.5, 49.2, 42.4, 48.5, 43.2, 50.6, 13.1, 52, 14.3, 15, 14.3, 15.3, 15.3, 14.2, 14.5, 17, 14.8, 16.3, 47.6, 17.3, 13.6, 15.7, 13.7, 16, 13.7, 15, 15.9, 13.9, 13.9, 15, 13.3, 15.8, 14.2, 14.1, 14.4, 15, 14.4, 15.4, 13.9, 49.3, 50.2, 45.6, 13.8, 14.9, 13.9, 55.8, 14.2, 16.8, 50.8, 16.2, 14.2, 15, 15, 15.6, 15.6, 14.8, 15, 16, 14.2, 20.2, 13.8, 16.4, 17.6, 15.6, 14.6, 15.9, 13.8, 17.3, 14.4, 14.2, 14, 17, 15, 17.1, 14.5, 18.9, 14.7, 15.7, 15.8, 14.6, 14.4, 16.5, 15, 18, 15, 21, 13.8, 18.5, 14.7, 15.8, 14, 15.1, 15.2, 15.9, 15.2, 16.3, 14.1, 16, 17.9, 16.2, 13.7, , , , , , , , 19.2, 18.7, 19.8, 17.8, 18.2, 18.2, 18.9, 19.9, 16.2, 20.3, 17.3, 19.4, 17, 19.6, 20, 17.8, 18.6, 18.2, 17.3, 17.5, 16.6, 19.4, 17.9, 19, 18.4, 19, 17.8, 20, 16.6, 20.8, 16.7, 18.8, 18.6, 16.8, 18.3, 17.3, 16.6, 19.9, 19.5, 17.5, 19.1, 17, 17.9, 18.5, 17.9, 19.6, 18.9, 17.3, 16.4, 19, 17.3, 19.7, 17.3, 17.7, 16.6, 19.9, 18.8, 19.4, 19.5, 16.5, 17, 17.2, 19.8, 18.2, 19, 18.7), flipper_length_mm = c(181L, 186L, 195L, NA, 193L, 190L, 181L, 195L, 193L, 190L, 186L, 180L, 182L, 191L, 198L, 185L, 195L, 197L, 184L, 194L, 174L, 180L, 189L, 185L, 180L, 187L, 183L, 187L, 172L, 180L, 178L, 178L, 188L, 184L, 195L, 196L, 190L, 180L, 181L, 184L, 182L, 195L, 186L, 196L, 185L, 190L, 182L, 179L, 190L, 191L, 186L, 188L, 190L, 200L, 187L, 191L, 186L, 193L, 181L, 194L, 185L, 195L, 185L, 192L, 184L, 192L, 195L, 188L, 190L, 198L, 190L, 190L, 196L, 197L, 190L, 195L, 191L, 184L, 187L, 195L, 189L, 196L, 187L, 193L, 191L, 194L, 190L, 189L, 189L, 190L, 202L, 205L, 185L, 186L, 187L, 208L, 190L, 196L, 178L, 192L, 192L, 203L, 183L, 190L, 193L, 184L, 199L, 190L, 181L, 197L, 198L, 191L, 193L, 197L, 191L, 196L, 188L, 199L, 189L, 189L, 187L, 198L, 176L, 202L, 186L, 199L, 191L, 195L, 191L, 210L, 190L, 197L, 193L, 199L, 187L, 190L, 191L, 200L, 185L, 193L, 193L, 187L, 188L, 190L, 192L, 185L, 190L, 184L, 195L, 193L, 187L, 201L, 211L, 230L, 210L, 218L, 215L, 210L, 211L, 219L, 209L, 215L, 214L, 216L, 214L, 213L, 210L, 217L, 210L, 221L, 209L, 222L, 218L, 215L, 213L, 215L, 215L, 215L, 216L, 215L, 210L, 220L, 222L, 209L, 207L, 230L, 220L, 220L, 213L, 219L, 208L, 208L, 208L, 225L, 210L, 216L, 222L, 217L, 210L, 225L, 213L, 215L, 210L, 220L, 210L, 225L, 217L, 220L, 208L, 220L, 208L, 224L, 208L, 221L, 214L, 231L, 219L, 230L, 214L, 229L, 220L, 223L, 216L, 221L, 221L, 217L, 216L, 230L, 209L, 220L, 215L, 223L, 212L, 221L, 212L, 224L, 212L, 228L, 218L, 218L, 212L, 230L, 218L, 228L, 212L, 224L, 214L, 226L, 216L, 222L, 203L, 225L, 219L, 228L, 215L, 228L, 216L, 215L, 210L, 219L, 208L, 209L, 216L, 229L, 213L, 230L, 217L, 230L, 217L, 222L, 214L, NA, 215L, 222L, 212L, 213L, 192L, 196L, 193L, 188L, 197L, 198L, 178L, 197L, 195L, 198L, 193L, 194L, 185L, 201L, 190L, 201L, 197L, 181L, 190L, 195L, 181L, 191L, 187L, 193L, 195L, 197L, 200L, 200L, 191L, 205L, 187L, 201L, 187L, 203L, 195L, 199L, 195L, 210L, 192L, 205L, 210L, 187L, 196L, 196L, 196L, 201L, 190L, 212L, 187L, 198L, 199L, 201L, 193L, 203L, 187L, 197L, 191L, 203L, 202L, 194L, 206L, 189L, 195L, 207L, 202L, 193L, 210L, 198L), body_mass_g = c(3750L, 3800L, 3250L, NA, 3450L, 3650L, 3625L, 4675L, 3475L, 4250L, 3300L, 3700L, 3200L, 3800L, 4400L, 3700L, 3450L, 4500L, 3325L, 4200L, 3400L, 3600L, 3800L, 3950L, 3800L, 3800L, 3550L, 3200L, 3150L, 3950L, 3250L, 3900L, 3300L, 3900L, 3325L, 4150L, 3950L, 3550L, 3300L, 4650L, 3150L, 3900L, 3100L, 4400L, 3000L, 4600L, 3425L, 2975L, 3450L, 4150L, 3500L, 4300L, 3450L, 4050L, 2900L, 3700L, 3550L, 3800L, 2850L, 3750L, 3150L, 4400L, 3600L, 4050L, 2850L, 3950L, 3350L, 4100L, 3050L, 4450L, 3600L, 3900L, 3550L, 4150L, 3700L, 4250L, 3700L, 3900L, 3550L, 4000L, 3200L, 4700L, 3800L, 4200L, 3350L, 3550L, 3800L, 3500L, 3950L, 3600L, 3550L, 4300L, 3400L, 4450L, 3300L, 4300L, 3700L, 4350L, 2900L, 4100L, 3725L, 4725L, 3075L, 4250L, 2925L, 3550L, 3750L, 3900L, 3175L, 4775L, 3825L, 4600L, 3200L, 4275L, 3900L, 4075L, 2900L, 3775L, 3350L, 3325L, 3150L, 3500L, 3450L, 3875L, 3050L, 4000L, 3275L, 4300L, 3050L, 4000L, 3325L, 3500L, 3500L, 4475L, 3425L, 3900L, 3175L, 3975L, 3400L, 4250L, 3400L, 3475L, 3050L, 3725L, 3000L, 3650L, 4250L, 3475L, 3450L, 3750L, 3700L, 4000L, 4500L, 5700L, 4450L, 5700L, 5400L, 4550L, 4800L, 5200L, 4400L, 5150L, 4650L, 5550L, 4650L, 5850L, 4200L, 5850L, 4150L, 6300L, 4800L, 5350L, 5700L, 5000L, 4400L, 5050L, 5000L, 5100L, 4100L, 5650L, 4600L, 5550L, 5250L, 4700L, 5050L, 6050L, 5150L, 5400L, 4950L, 5250L, 4350L, 5350L, 3950L, 5700L, 4300L, 4750L, 5550L, 4900L, 4200L, 5400L, 5100L, 5300L, 4850L, 5300L, 4400L, 5000L, 4900L, 5050L, 4300L, 5000L, 4450L, 5550L, 4200L, 5300L, 4400L, 5650L, 4700L, 5700L, 4650L, 5800L, 4700L, 5550L, 4750L, 5000L, 5100L, 5200L, 4700L, 5800L, 4600L, 6000L, 4750L, 5950L, 4625L, 5450L, 4725L, 5350L, 4750L, 5600L, 4600L, 5300L, 4875L, 5550L, 4950L, 5400L, 4750L, 5650L, 4850L, 5200L, 4925L, 4875L, 4625L, 5250L, 4850L, 5600L, 4975L, 5500L, 4725L, 5500L, 4700L, 5500L, 4575L, 5500L, 5000L, 5950L, 4650L, 5500L, 4375L, 5850L, 4875L, 6000L, 4925L, NA, 4850L, 5750L, 5200L, 5400L, 350L, 190L, 181L, 195L, 3725L, 3950L, 1860L, 1800L, 415L, 1980L, 3800L, 3775L, 3700L, 4050L, 3575L, 4050L, 3300L, 3700L, L, 4400L, L, L, L, L, L, 4150L, 3400L, 3800L, 3700L, 4550L, 3200L, 4300L, 3350L, 4100L, 3600L, 3900L, 3850L, 4800L, 2700L, 4500L, 3950L, 3650L, 3550L, 3500L, 3675L, 4450L, 3400L, 4300L, 325L, 193L, 1815L, 1940L, 185L, 195L, 185L, 345L, 3250L, 4050L, 3800L, 3525L, 3950L, 3650L, 365L, 196L, 197L, 377L, 4100L, 3775L), sex = c("male", "female", "female", NA, "female", "male", "female", "male", NA, NA, NA, NA, "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", NA, "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", NA, "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", NA, "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", NA, "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", NA, "male", "female", NA, "female", "male", "female", "male", "female", "male", "male", "female", NA, "female", "female", "male"e", "female", "male", "female", "male", "female", "male"e", "female", "male", "fale", "female", "female", "male", "female", "male", "female", "male", "female", "male", "memale", "male", "female", "male", "female", "feme", "male"e", "male", "fale", "female", "male"e", "fele", "female", "male", "male", "female", "male", Nfemale", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "male", "female"), year = c(2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L)))
     4: fromDataFrame(dat2, uri, filter = name)
     5: eval(expr, envir = e)
     6: eval(expr, envir = e)
     7: FUN(X[[i]], ...)
     8: lapply(basename(testfiles), run_test_file, at_home = at_home, verbose = verbose, color = color, remove_side_effects = remove_side_effects, ...)
     9: run_test_dir(testdir, at_home = at_home, cluster = cluster, ...)
     10: tinytest::test_package("tiledb")
     An irrecoverable exception occurred. R is aborting now ...
    
     Traceback:
     1: libtiledb_query_submit(qryptr)
     2: `[<-`(`*tmp*`, , value = list(`__tiledb_rows` = 1:344, species = c("Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap"), island = c("Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream"), bill_length_mm = c(39.1, 39.5, 40.3, NA, 36.7, 39.3, 38.9, 39.2, 34.1, 42, 37.8, 37.8, 41.1, 38.6, 34.6, 36.6, 38.7, 42.5, 34.4, 46, 37.8, 37.7, 35.9, 38.2, 38.8, 35.3, 40.6, 40.5, 37.9, 40.5, 39.5, 37.2, 39.5, 40.9, 36.4, 39.2, 38.8, 42.2, 37.6, 39.8, 36.5, 40.8, 36, 44.1, 37, 39.6, 41.1, 37.5, 36, 42.3, 39.6, 40.1, 35, 42, 34.5, 41.4, 39, 40.6, 36.5, 37.6, 35.7, 41.3, 37.6, 41.1, 36.4, 41.6, 35.5, 41.1, 35.9, 41.8, 33.5, 39.7, 39.6, 45.8, 35.5, 42.8, 40.9, 37.2, 36.2, 42.1, 34.6, 42.9, 36.7, 35.1, 37.3, 41.3, 36.3, 36.9, 38.3, 38.9, 35.7, 41.1, 34, 39.6, 36.2, 40.8, 38.1, 40.3, 33.1, 43.2, 35, 41, 37.7, 37.8, 37.9, 39.7, 38.6, 38.2, 38.1, 43.2, 38.1, 45.6, 39.7, 42.2, 39.6, 42.7, 38.6, 37.3, 35.7, 41.1, 36.2, 37.7, 40.2, 41.4, 35.2, 40.6, 38.8, 41.5, 39, 44.1, 38.5, 43.1, 36.8, 37.5, 38.1, 41.1, 35.6, 40.2, 37, 39.7, 40.2, 40.6, 32.1, 40.7, 37.3, 39, 39.2, 36.6, 36, 37.8, 36, 41.5, 46.1, 50, 48.7, 50, 47.6, 46.5, 45.4, 46.7, 43.3, 46.8, 40.9, 49, 45.5, 48.4, 45.8, 49.3, 42, 49.2, 46.2, 48.7, 50.2, 45.1, 46.5, 46.3, 42.9, 46.1, 44.5, 47.8, 48.2, 50, 47.3, 42.8, 45.1, 59.6, 49.1, 48.4, 42.6, 44.4, 44, 48.7, 42.7, 49.6, 45.3, 49.6, 50.5, 43.6, 45.5, 50.5, 44.9, 45.2, 46.6, 48.5, 45.1, 50.1, 46.5, 45, 43.8, 45.5, 43.2, 50.4, 45.3, 46.2, 45.7, 54.3, 45.8, 49.8, 46.2, 49.5, 43.5, 50.7, 47.7, 46.4, 48.2, 46.5, 46.4, 48.6, 47.5, 51.1, 45.2, 45.2, 49.1, 52.5, 47.4, 50, 44.9, 50.8, 43.4, 51.3, 47.5, 52.1, 47.5, 52.2, 45.5, 49.5, 44.5, 50.8, 49.4, 46.9, 48.4, 51.1, 48.5, 55.9, 47.2, 49.1, 47.3, 46.8, 41.7, 53.4, 43.3, 48.1, 50.5, 49.8, 43.5, 51.5, 46.2, 55.1, 44.5, 48.8, 47.2, NA, 46.8, 50.4, 45.2, 49.9, 46.5, 50, 51.3, 45.4, 52.7, 45.2, 46.1, 51.3, 46, 51.3, 46.6, 51.7, 47, 52, 45.9, 50.5, 50.3, 58, 46.4, 49.2, 42.4, 48.5, 43.2, 50.6, 46.7, 52, 50.5, 49.5, 46.4, 52.8, 40.9, 54.2, 42.5, 51, 49.7, 47.5, 47.6, 52, 46.9, 53.5, 49, 46.2, 50.9, 45.5, 50.9, 50.8, 50.1, 49, 51.5, 49.8, 48.1, 51.4, 45.7, 50.7, 42.5, 52.2, 45.2, 49.3, 50.2, 45.6, 51.9, 46.8, 45.7, 55.8, 43.5, 49.6, 50.8, 50.2), bill_depth_mm = c(18.7, 17.4, 18, NA, 19.3, 20.6, 17.8, 19.6, 18.1, 20.2, 17.1, 17.3, 17.6, 21.2, 21.1, 17.8, 19, 20.7, 18.4, 21.5, 18.3, 18.7, 19.2, 18.1, 17.2, 18.9, 18.6, 17.9, 18.6, 18.9, 16.7, 18.1, 17.8, 18.9, 17, 21.1, 20, 18.5, 19.3, 19.1, 18, 18.4, 18.5, 19.7, 16.9, 18.8, 19, 18.9, 17.9, 21.2, 17.7, 18.9, 17.9, 19.5, 18.1, 18.6, 17.5, 18.8, 16.6, 19.1, 16.9, 21.1, 17, 18.2, 17.1, 18, 16.2, 19.1, 16.6, 19.4, 19, 18.4, 17.2, 18.9, 17.5, 18.5, 16.8, 19.4, 16.1, 19.1, 17.2, 17.6, 18.8, 19.4, 17.8, 20.3, 19.5, 18.6, 19.2, 18.8, 18, 18.1, 17.1, 18.1, 17.3, 18.9, 18.6, 18.5, 16.1, 18.5, 17.9, 20, 16, 20, 18.6, 18.9, 17.2, 20, 17, 19, 16.5, 20.3, 17.7, 19.5, 20.7, 18.3, 17, 20.5, 17, 18.6, 17.2, 19.8, 17, 18.5, 15.9, 19, 17.6, 18.3, 17.1, 18, 17.9, 19.2, 18.5, 18.5, 17.6, 17.5, 17.5, 20.1, 16.5, 17.9, 17.1, 17.2, 15.5, 17, 16.8, 18.7, 18.6, 18.4, 17.8, 18.1, 17.1, 18.5, 13.2, 16.3, 14.1, 15.2, 14.5, 13.5, 14.6, 15.3, 13.4, 15.4, 13.7, 16.1, 13.7, 14.6, 14.6, 15.7, 13.5, 15.2, 14.5, 15.1, 14.3, 14.5, 14.5, 15.8, 13.1, 15.1, 14.3, 15, 14.3, 15.3, 15.3, 14.2, 14.5, 17, 14.8, 16.3, 13.7, 17.3, 13.6, 15.7, 13.7, 16, 13.7, 15, 15.9, 13.9, 13.9, 15.9, 13.3, 15.8, 14.2, 14.1, 14.4, 15, 14.4, 15.4, 13.9, 15, 14.5, 15.3, 13.8, 14.9, 13.9, 15.7, 14.2, 16.8, 14.4, 16.2, 14.2, 15, 15, 15.6, 15.6, 14.8, 15, 16, 14.2, 16.3, 13.8, 16.4, 14.5, 15.6, 14.6, 15.9, 13.8, 17.3, 14.4, 14.2, 14, 17, 15, 17.1, 14.5, 16.1, 14.7, 15.7, 15.8, 14.6, 14.4, 16.5, 15, 17, 15.5, 15, 13.8, 16.1, 14.7, 15.8, 14, 15.1, 15.2, 15.9, 15.2, 16.3, 14.1, 16, 15.7, 16.2, 13.7, NA, 14.3, 15.7, 14.8, 16.1, 17.9, 19.5, 19.2, 18.7, 19.8, 17.8, 18.2, 18.2, 18.9, 19.9, 17.8, 20.3, 17.3, 18.1, 17.1, 19.6, 20, 17.8, 18.6, 18.2, 17.3, 17.5, 16.6, 19.4, 17.9, 19, 18.4, 19, 17.8, 20, 16.6, 20.8, 16.7, 18.8, 18.6, 16.8, 18.3, 20.7, 16.6, 19.9, 19.5, 17.5, 19.1, 17, 17.9, 18.5, 17.9, 19.6, 18.7, 17.3, 16.4, 19, 17.3, 19.7, 17.3, 18.8, 16.6, 19.9, 18.8, 19.4, 19.5, 16.5, 17, 19.8, 18.1, 18.2, 19, 18.7), flipper_length_mm = c(181L, 186L, 195L, NA, 193L, 190L, 181L, 195L, 193L, 190L, 186L, 180L, 182L, 191L, 198L, 185L, 195L, 197L, 184L, 194L, 174L, 180L, 189L, 185L, 180L, 187L, 183L, 187L, 172L, 180L, 178L, 178L, 188L, 184L, 195L, 196L, 190L, 180L, 181L, 184L, 182L, 195L, 186L, 196L, 185L, 190L, 182L, 179L, 190L, 191L, 186L, 188L, 190L, 200L, 187L, 191L, 186L, 193L, 181L, 194L, 185L, 195L, 185L, 192L, 184L, 192L, 195L, 188L, 190L, 198L, 190L, 190L, 196L, 197L, 190L, 195L, 191L, 184L, 187L, 195L, 189L, 196L, 187L, 193L, 191L, 194L, 190L, 189L, 189L, 190L, 202L, 205L, 185L, 186L, 187L, 208L, 190L, 196L, 178L, 192L, 192L, 203L, 183L, 190L, 193L, 184L, 199L, 190L, 181L, 197L, 198L, 191L, 193L, 197L, 191L, 196L, 188L, 199L, 189L, 189L, 187L, 198L, 176L, 202L, 186L, 199L, 191L, 195L, 191L, 210L, 190L, 197L, 193L, 199L, 187L, 190L, 191L, 200L, 185L, 193L, 193L, 187L, 188L, 190L, 192L, 185L, 190L, 184L, 195L, 193L, 187L, 201L, 211L, 230L, 210L, 218L, 215L, 210L, 211L, 219L, 209L, 215L, 214L, 216L, 214L, 213L, 210L, 217L, 210L, 221L, 209L, 222L, 218L, 215L, 213L, 215L, 215L, 215L, 216L, 215L, 210L, 220L, 222L, 209L, 207L, 230L, 220L, 220L, 213L, 219L, 208L, 208L, 208L, 225L, 210L, 216L, 222L, 217L, 210L, 225L, 213L, 215L, 210L, 220L, 210L, 225L, 217L, 220L, 208L, 220L, 208L, 224L, 208L, 221L, 214L, 231L, 219L, 230L, 214L, 229L, 220L, 223L, 216L, 221L, 221L, 217L, 216L, 230L, 209L, 220L, 215L, 223L, 212L, 221L, 212L, 224L, 212L, 228L, 218L, 218L, 212L, 230L, 218L, 228L, 212L, 224L, 214L, 226L, 216L, 222L, 203L, 225L, 219L, 228L, 215L, 228L, 216L, 215L, 210L, 219L, 208L, 209L, 216L, 229L, 213L, 230L, 217L, 230L, 217L, 222L, 214L, NA, 215L, 222L, 212L, 213L, 192L, 196L, 193L, 188L, 197L, 198L, 178L, 197L, 195L, 198L, 193L, 194L, 185L, 201L, 190L, 201L, 197L, 181L, 190L, 195L, 181L, 191L, 187L, 193L, 195L, 197L, 200L, 200L, 191L, 205L, 187L, 201L, 187L, 203L, 195L, 199L, 195L, 210L, 192L, 205L, 210L, 187L, 196L, 196L, 196L, 201L, 190L, 212L, 187L, 198L, 199L, 201L, 193L, 203L, 187L, 197L, 191L, 203L, 202L, 194L, 206L, 189L, 195L, 207L, 202L, 193L, 210L, 198L), body_mass_g = c(3750L, 3800L, 3250L, NA, 3450L, 3650L, 3625L, 4675L, 3475L, 4250L, 3300L, 3700L, 3200L, 3800L, 4400L, 3700L, 3450L, 4500L, 3325L, 4200L, 3400L, 3600L, 3800L, 3950L, 3800L, 3800L, 3550L, 3200L, 3150L, 3950L, 3250L, 3900L, 3300L, 3900L, 3325L, 4150L, 3950L, 3550L, 3300L, 4650L, 3150L, 3900L, 3100L, 4400L, 3000L, 4600L, 3425L, 2975L, 3450L, 4150L, 3500L, 4300L, 3450L, 4050L, 2900L, 3700L, 3550L, 3800L, 2850L, 3750L, 3150L, 4400L, 3600L, 4050L, 2850L, 3950L, 3350L, 4100L, 3050L, 4450L, 3600L, 3900L, 3550L, 4150L, 3700L, 4250L, 3700L, 3900L, 3550L, 4000L, 3200L, 4700L, 3800L, 4200L, 3350L, 3550L, 3800L, 3500L, 3950L, 3600L, 3550L, 4300L, 3400L, 4450L, 3300L, 4300L, 3700L, 4350L, 2900L, 4100L, 3725L, 4725L, 3075L, 4250L, 2925L, 3550L, 3750L, 3900L, 3175L, 4775L, 3825L, 4600L, 3200L, 4275L, 3900L, 4075L, 2900L, 3775L, 3350L, 3325L, 3150L, 3500L, 3450L, 3875L, 3050L, 4000L, 3275L, 4300L, 3050L, 4000L, 3325L, 3500L, 3500L, 4475L, 3425L, 3900L, 3175L, 3975L, 3400L, 4250L, 3400L, 3475L, 3050L, 3725L, 3000L, 3650L, 4250L, 3475L, 3450L, 3750L, 3700L, 4000L, 4500L, 5700L, 4450L, 5700L, 5400L, 4550L, 4800L, 5200L, 4400L, 5150L, 4650L, 5550L, 4650L, 5850L, 4200L, 5850L, 4150L, 6300L, 4800L, 5350L, 5700L, 5000L, 4400L, 5050L, 5000L, 5100L, 4100L, 5650L, 4600L, 5550L, 5250L, 4700L, 5050L, 6050L, 5150L, 5400L, 4950L, 5250L, 4350L, 5350L, 3950L, 5700L, 4300L, 4750L, 5550L, 4900L, 4200L, 5400L, 5100L, 5300L, 4850L, 5300L, 4400L, 5000L, 4900L, 5050L, 4300L, 5000L, 4450L, 5550L, 4200L, 5300L, 4400L, 5650L, 4700L, 5700L, 4650L, 5800L, 4700L, 5550L, 4750L, 5000L, 5100L, 5200L, 4700L, 5800L, 4600L, 6000L, 4750L, 5950L, 4625L, 5450L, 4725L, 5350L, 4750L, 5600L, 4600L, 5300L, 4875L, 5550L, 4950L, 5400L, 4750L, 5650L, 4850L, 5200L, 4925L, 4875L, 4625L, 5250L, 4850L, 5600L, 4975L, 5500L, 4725L, 5500L, 4700L, 5500L, 4575L, 5500L, 5000L, 5950L, 4650L, 5500L, 4375L, 5850L, 4875L, 6000L, 4925L, NA, 4850L, 5750L, 5200L, 5400L, 3500L, 3900L, 3650L, 3525L, 3725L, 3950L, 3250L, 3750L, 4150L, 3700L, 3800L, 3775L, 3700L, 4050L, 3575L, 4050L, 3300L, 3700L, 3450L, 4400L, 3600L, 3400L, 2900L, 3800L, 3300L, 4150L, 3400L, 3800L, 3700L, 4550L, 3200L, 4300L, 3350L, 4100L, 3600L, 3900L, 3850L, 4800L, 2700L, 4500L, 3950L, 3650L, 3550L, 3500L, 3675L, 4450L, 3400L, 4300L, 3250L, 3675L, 3325L, 3950L, 3600L, 4050L, 3350L, 3450L, 3250L, 4050L, 3800L, 3525L, 3950L, 3650L, 3650L, 4000L, 3400L, 3775L, 4100L, 3775L), sex = c("male", "female", "female", NA, "female", "male", "female", "male", NA, NA, NA, NA, "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", NA, "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", NA, "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", NA, "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", NA, "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", NA, "male", "female", NA, "female", "male", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "male", "female"), year = c(2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L)))
     3: `[<-`(`*tmp*`, , value = list(`__tiledb_rows` = 1:344, species = c("Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap"), island = c("Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream"), bill_length_mm = c(39.1, 39.5, 40.3, NA, 36.7, 39.3, 38.9, 39.2, 34.1, 42, 37.8, 37.8, 41.1, 38.6, 34.6, 36.6, 38.7, 42.5, 34.4, 46, 37.8, 37.7, 35.9, 38.2, 38.8, 35.3, 40.6, 40.5, 37.9, 40.5, 39.5, 37.2, 39.5, 40.9, 36.4, 39.2, 38.8, 42.2, 37.6, 39.8, 36.5, 40.8, 36, 44.1, 37, 39.6, 41.1, 37.5, 36, 42.3, 39.6, 40.1, 35, 42, 34.5, 41.4, 39, 40.6, 36.5, 37.6, 35.7, 41.3, 37.6, 41.1, 36.4, 41.6, 35.5, 41.1, 35.9, 41.8, 33.5, 39.7, 39.6, 45.8, 35.5, 42.8, 40.9, 37.2, 36.2, 42.1, 34.6, 42.9, 36.7, 35.1, 37.3, 41.3, 36.3, 36.9, 38.3, 38.9, 35.7, 41.1, 34, 39.6, 36.2, 40.8, 38.1, 40.3, 33.1, 43.2, 35, 41, 37.7, 37.8, 37.9, 39.7, 38.6, 38.2, 38.1, 43.2, 38.1, 45.6, 39.7, 42.2, 39.6, 42.7, 38.6, 37.3, 35.7, 41.1, 36.2, 37.7, 40.2, 41.4, 35.2, 40.6, 38.8, 41.5, 39, 44.1, 38.5, 43.1, 36.8, 37.5, 38.1, 41.1, 35.6, 40.2, 37, 39.7, 40.2, 40.6, 32.1, 40.7, 37.3, 39, 39.2, 36.6, 36, 37.8, 36, 41.5, 46.1, 50, 48.7, 50, 47.6, 46.5, 45.4, 46.7, 43.3, 46.8, 40.9, 49, 45.5, 48.4, 45.8, 49.3, 42, 49.2, 46.2, 48.7, 50.2, 45.1, 46.5, 46.3, 42.9, 46.1, 44.5, 47.8, 48.2, 50, 47.3, 42.8, 45.1, 59.6, 49.1, 48.4, 42.6, 44.4, 44, 48.7, 42.7, 49.6, 45.3, 49.6, 50.5, 43.6, 45.5, 50.5, 44.9, 45.2, 46.6, 48.5, 45.1, 50.1, 46.5, 45, 43.8, 45.5, 43.2, 50.4, 45.3, 46.2, 45.7, 54.3, 45.8, 49.8, 46.2, 49.5, 43.5, 50.7, 47.7, 46.4, 48.2, 46.5, 46.4, 48.6, 47.5, 51.1, 45.2, 45.2, 49.1, 52.5, 47.4, 50, 44.9, 50.8, 43.4, 51.3, 47.5, 52.1, 47.5, 52.2, 45.5, 49.5, 44.5, 50.8, 49.4, 46.9, 48.4, 51.1, 48.5, 55.9, 47.2, 49.1, 47.3, 46.8, 41.7, 53.4, 43.3, 48.1, 50.5, 49.8, 43.5, 51.5, 46.2, 55.1, 44.5, 48.8, 47.2, NA, 46.8, 50.4, 45.2, 49.9, 46.5, 50, 51.3, 45.4, 52.7, 45.2, 46.1, 51.3, 46, 51.3, 46.6, 51.7, 47, 52, 45.9, 50.5, 50.3, 58, 46.4, 49.2, 42.4, 48.5, 43.2, 50.6, 46.7, 52, 50.5, 49.5, 46.4, 52.8, 40.9, 54.2, 42.5, 51, 49.7, 47.5, 47.6, 52, 46.9, 53.5, 49, 46.2, 50.9, 45.5, 50.9, 50.8, 50.1, 49, 51.5, 49.8, 48.1, 51.4, 45.7, 50.7, 42.5, 52.2, 45.2, 49.3, 50.2, 45.6, 51.9, 46.8, 45.7, 55.8, 43.5, 49.6, 50.8, 50.2), bill_depth_mm = c(18.7, 17.4, 18, NA, 19.3, 20.6, 17.8, 19.6, 18.1, 20.2, 17.1, 17.3, 17.6, 21.2, 21.1, 17.8, 19, 20.7, 18.4, 21.5, 18.3, 18.7, 19.2, 18.1, 17.2, 18.9, 18.6, 17.9, 18.6, 18.9, 16.7, 18.1, 17.8, 18.9, 17, 21.1, 20, 18.5, 19.3, 19.1, 18, 18.4, 18.5, 19.7, 16.9, 18.8, 19, 18.9, 17.9, 21.2, 17.7, 18.9, 17.9, 19.5, 18.1, 18.6, 17.5, 18.8, 16.6, 19.1, 16.9, 21.1, 17, 18.2, 17.1, 18, 16.2, 19.1, 16.6, 19.4, 19, 18.4, 17.2, 18.9, 17.5, 18.5, 16.8, 19.4, 16.1, 19.1, 17.2, 17.6, 18.8, 19.4, 17.8, 20.3, 19.5, 18.6, 19.2, 18.8, 18, 18.1, 17.1, 18.1, 17.3, 18.9, 18.6, 18.5, 16.1, 18.5, 17.9, 20, 16, 20, 18.6, 18.9, 17.2, 20, 17, 19, 16.5, 20.3, 17.7, 19.5, 20.7, 18.3, 17, 20.5, 17, 18.6, 17.2, 19.8, 17, 18.5, 15.9, 19, 17.6, 18.3, 17.1, 18, 17.9, 19.2, 18.5, 18.5, 17.6, 17.5, 17.5, 20.1, 16.5, 17.9, 17.1, 17.2, 15.5, 17, 16.8, 18.7, 18.6, 18.4, 17.8, 18.1, 17.1, 18.5, 13.2, 16.3, 14.1, 15.2, 14.5, 13.5, 14.6, 15.3, 13.4, 15.4, 13.7, 16.1, 13.7, 14.6, 14.6, 15.7, 13.5, 15.2, 14.5, 15.1, 14.3, 14.5, 14.5, 15.8, 13.1, 15.1, 14.3, 15, 14.3, 15.3, 15.3, 14.2, 14.5, 17, 14.8, 16.3, 13.7, 17.3, 13.6, 15.7, 13.7, 16, 13.7, 15, 15.9, 13.9, 13.9, 15.9, 13.3, 15.8, 14.2, 14.1, 14.4, 15, 14.4, 15.4, 13.9, 15, 14.5, 15.3, 13.8, 14.9, 13.9, 15.7, 14.2, 16.8, 14.4, 16.2, 14.2, 15, 15, 15.6, 15.6, 14.8, 15, 16, 14.2, 16.3, 13.8, 16.4, 14.5, 15.6, 14.6, 15.9, 13.8, 17.3, 14.4, 14.2, 14, 17, 15, 17.1, 14.5, 16.1, 14.7, 15.7, 15.8, 14.6, 14.4, 16.5, 15, 17, 15.5, 15, 13.8, 16.1, 14.7, 15.8, 14, 15.1, 15.2, 15.9, 15.2, 16.3, 14.1, 16, 15.7, 16.2, 13.7, NA, 14.3, 15.7, 14.8, 16.1, 17.9, 19.5, 19.2, 18.7, 19.8, 17.8, 18.2, 18.2, 18.9, 19.9, 17.8, 20.3, 17.3, 18.1, 17.1, 19.6, 20, 17.8, 18.6, 18.2, 17.3, 17.5, 16.6, 19.4, 17.9, 19, 18.4, 19, 17.8, 20, 16.6, 20.8, 16.7, 18.8, 18.6, 16.8, 18.3, 20.7, 16.6, 19.9, 19.5, 17.5, 19.1, 17, 17.9, 18.5, 17.9, 19.6, 18.7, 17.3, 16.4, 19, 17.3, 19.7, 17.3, 18.8, 16.6, 19.9, 18.8, 19.4, 19.5, 16.5, 17, 19.8, 18.1, 18.2, 19, 18.7), flipper_length_mm = c(181L, 186L, 195L, NA, 193L, 190L, 181L, 195L, 193L, 190L, 186L, 180L, 182L, 191L, 198L, 185L, 195L, 197L, 184L, 194L, 174L, 180L, 189L, 185L, 180L, 187L, 183L, 187L, 172L, 180L, 178L, 178L, 188L, 184L, 195L, 196L, 190L, 180L, 181L, 184L, 182L, 195L, 186L, 196L, 185L, 190L, 182L, 179L, 190L, 191L, 186L, 188L, 190L, 200L, 187L, 191L, 186L, 193L, 181L, 194L, 185L, 195L, 185L, 192L, 184L, 192L, 195L, 188L, 190L, 198L, 190L, 190L, 196L, 197L, 190L, 195L, 191L, 184L, 187L, 195L, 189L, 196L, 187L, 193L, 191L, 194L, 190L, 189L, 189L, 190L, 202L, 205L, 185L, 186L, 187L, 208L, 190L, 196L, 178L, 192L, 192L, 203L, 183L, 190L, 193L, 184L, 199L, 190L, 181L, 197L, 198L, 191L, 193L, 197L, 191L, 196L, 188L, 199L, 189L, 189L, 187L, 198L, 176L, 202L, 186L, 199L, 191L, 195L, 191L, 210L, 190L, 197L, 193L, 199L, 187L, 190L, 191L, 200L, 185L, 193L, 193L, 187L, 188L, 190L, 192L, 185L, 190L, 184L, 195L, 193L, 187L, 201L, 211L, 230L, 210L, 218L, 215L, 210L, 211L, 219L, 209L, 215L, 214L, 216L, 214L, 213L, 210L, 217L, 210L, 221L, 209L, 222L, 218L, 215L, 213L, 215L, 215L, 215L, 216L, 215L, 210L, 220L, 222L, 209L, 207L, 230L, 220L, 220L, 213L, 219L, 208L, 208L, 208L, 225L, 210L, 216L, 222L, 217L, 210L, 225L, 213L, 215L, 210L, 220L, 210L, 225L, 217L, 220L, 208L, 220L, 208L, 224L, 208L, 221L, 214L, 231L, 219L, 230L, 214L, 229L, 220L, 223L, 216L, 221L, 221L, 217L, 216L, 230L, 209L, 220L, 215L, 223L, 212L, 221L, 212L, 224L, 212L, 228L, 218L, 218L, 212L, 230L, 218L, 228L, 212L, 224L, 214L, 226L, 216L, 222L, 203L, 225L, 219L, 228L, 215L, 228L, 216L, 215L, 210L, 219L, 208L, 209L, 216L, 229L, 213L, 230L, 217L, 230L, 217L, 222L, 214L, NA, 215L, 222L, 212L, 213L, 192L, 196L, 193L, 188L, 197L, 198L, 178L, 197L, 195L, 198L, 193L, 194L, 185L, 201L, 190L, 201L, 197L, 181L, 190L, 195L, 181L, 191L, 187L, 193L, 195L, 197L, 200L, 200L, 191L, 205L, 187L, 201L, 187L, 203L, 195L, 199L, 195L, 210L, 192L, 205L, 210L, 187L, 196L, 196L, 196L, 201L, 190L, 212L, 187L, 198L, 199L, 201L, 193L, 203L, 187L, 197L, 191L, 203L, 202L, 194L, 206L, 189L, 195L, 207L, 202L, 193L, 210L, 198L), body_mass_g = c(3750L, 3800L, 3250L, NA, 3450L, 3650L, 3625L, 4675L, 3475L, 4250L, 3300L, 3700L, 3200L, 3800L, 4400L, 3700L, 3450L, 4500L, 3325L, 4200L, 3400L, 3600L, 3800L, 3950L, 3800L, 3800L, 3550L, 3200L, 3150L, 3950L, 3250L, 3900L, 3300L, 3900L, 3325L, 4150L, 3950L, 3550L, 3300L, 4650L, 3150L, 3900L, 3100L, 4400L, 3000L, 4600L, 3425L, 2975L, 3450L, 4150L, 3500L, 4300L, 3450L, 4050L, 2900L, 3700L, 3550L, 3800L, 2850L, 3750L, 3150L, 4400L, 3600L, 4050L, 2850L, 3950L, 3350L, 4100L, 3050L, 4450L, 3600L, 3900L, 3550L, 4150L, 3700L, 4250L, 3700L, 3900L, 3550L, 4000L, 3200L, 4700L, 3800L, 4200L, 3350L, 3550L, 3800L, 3500L, 3950L, 3600L, 3550L, 4300L, 3400L, 4450L, 3300L, 4300L, 3700L, 4350L, 2900L, 4100L, 3725L, 4725L, 3075L, 4250L, 2925L, 3550L, 3750L, 3900L, 3175L, 4775L, 3825L, 4600L, 3200L, 4275L, 3900L, 4075L, 2900L, 3775L, 3350L, 3325L, 3150L, 3500L, 3450L, 3875L, 3050L, 4000L, 3275L, 4300L, 3050L, 4000L, 3325L, 3500L, 3500L, 4475L, 3425L, 3900L, 3175L, 3975L, 3400L, 4250L, 3400L, 3475L, 3050L, 3725L, 3000L, 3650L, 4250L, 3475L, 3450L, 3750L, 3700L, 4000L, 4500L, 5700L, 4450L, 5700L, 5400L, 4550L, 4800L, 5200L, 4400L, 5150L, 4650L, 5550L, 4650L, 5850L, 4200L, 5850L, 4150L, 6300L, 4800L, 5350L, 5700L, 5000L, 4400L, 5050L, 5000L, 5100L, 4100L, 5650L, 4600L, 5550L, 5250L, 4700L, 5050L, 6050L, 5150L, 5400L, 4950L, 5250L, 4350L, 5350L, 3950L, 5700L, 4300L, 4750L, 5550L, 4900L, 4200L, 5400L, 5100L, 5300L, 4850L, 5300L, 4400L, 5000L, 4900L, 5050L, 4300L, 5000L, 4450L, 5550L, 4200L, 5300L, 4400L, 5650L, 4700L, 5700L, 4650L, 5800L, 4700L, 5550L, 4750L, 5000L, 5100L, 5200L, 4700L, 5800L, 4600L, 6000L, 4750L, 5950L, 4625L, 5450L, 4725L, 5350L, 4750L, 5600L, 4600L, 5300L, 4875L, 5550L, 4950L, 5400L, 4750L, 5650L, 4850L, 5200L, 4925L, 4875L, 4625L, 5250L, 4850L, 5600L, 4975L, 5500L, 4725L, 5500L, 4700L, 5500L, 4575L, 5500L, 5000L, 5950L, 4650L, 5500L, 4375L, 5850L, 4875L, 6000L, 4925L, NA, 4850L, 5750L, 5200L, 5400L, 3500L, 3900L, 3650L, 3525L, 3725L, 3950L, 3250L, 3750L, 4150L, 3700L, 3800L, 3775L, 3700L, 4050L, 3575L, 4050L, 3300L, 3700L, 3450L, 4400L, 3600L, 3400L, 2900L, 3800L, 3300L, 4150L, 3400L, 3800L, 3700L, 4550L, 3200L, 4300L, 3350L, 4100L, 3600L, 3900L, 3850L, 4800L, 2700L, 4500L, 3950L, 3650L, 3550L, 3500L, 3675L, 4450L, 3400L, 4300L, 3250L, 3675L, 3325L, 3950L, 3600L, 4050L, 3350L, 3450L, 3250L, 4050L, 3800L, 3525L, 3950L, 3650L, 3650L, 4000L, 3400L, 3775L, 4100L, 3775L), sex = c("male", "female", "female", NA, "female", "male", "female", "male", NA, NA, NA, NA, "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", NA, "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", NA, "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", NA, "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", NA, "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", NA, "male", "female", NA, "female", "male", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "male", "female"), year = c(2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L)))
     4: fromDataFrame(dat2, uri, filter = name)
     5: eval(expr, envir = e)
     6: eval(expr, envir = e)
     7: FUN(X[[i]], ...)
     8: lapply(basename(testfiles), run_test_file, at_home = at_home, verbose = verbose, color = color, remove_side_effects = remove_side_effects, ...)
     9: run_test_dir(testdir, at_home = at_home, cluster = cluster, ...)
     10: tinytest::test_package("tiledb")
     An irrecoverable exception occurred. R is aborting now ...
     Illegal instruction
Flavor: r-patched-linux-x86_64

Version: 0.13.0
Check: tests
Result: ERROR
     Running ‘tinytest.R’ [33s/41s]
    Running the tests in ‘tests/tinytest.R’ failed.
    Complete output:
     >
     > if (requireNamespace("tinytest", quietly=TRUE)) {
     +
     + ## Set a seed to make the test deterministic
     + set.seed(42)
     +
     + ## R makes us to this
     + Sys.setenv("R_TESTS"="")
     +
     + ## there are several more granular ways to test files in a tinytest directory,
     + ## see its package vignette; tests can also run once the package is installed
     + ## using the same command `test_package(pkgName)`, or by director or file
     + tinytest::test_package("tiledb")
     + }
    
     test_arrayschema.R............ 0 tests
     test_arrayschema.R............ 0 tests
     test_arrayschema.R............ 0 tests
     test_arrayschema.R............ 0 tests
     test_arrayschema.R............ 0 tests
     test_arrayschema.R............ 0 tests
     test_arrayschema.R............ 0 tests
     test_arrayschema.R............ 0 tests
     test_arrayschema.R............ 0 tests
     test_arrayschema.R............ 1 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 1 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 1 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 1 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 1 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 1 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 2 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 2 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 3 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 4 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 5 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 5 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 6 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 7 tests <1b>[0;32mOK<1b>[0m
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     test_arrayschema.R............ 10 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 10 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 10 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 10 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 10 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 10 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 10 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 11 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 11 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 12 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 13 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 14 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 15 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 15 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 16 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 17 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 18 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 19 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 20 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 21 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 21 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 22 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 23 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 24 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 25 tests <1b>[0;32mOK<1b>[0m
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     test_arrayschema.R............ 28 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 28 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 28 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 29 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 29 tests <1b>[0;32mOK<1b>[0m
     test_arrayschema.R............ 30 tests <1b>[0;32mOK<1b>[0m <1b>[0;34m0.4s<1b>[0m
    
     test_arrayschemaevolution.R... 0 tests
     test_arrayschemaevolution.R... 0 tests
     test_arrayschemaevolution.R... 0 tests
     test_arrayschemaevolution.R... 0 tests
     test_arrayschemaevolution.R... 0 tests
     test_arrayschemaevolution.R... 0 tests
     test_arrayschemaevolution.R... 0 tests
     test_arrayschemaevolution.R... 0 tests
     test_arrayschemaevolution.R... 0 tests
     test_arrayschemaevolution.R... 0 tests
     test_arrayschemaevolution.R... 0 tests
     test_arrayschemaevolution.R... 0 tests
     test_arrayschemaevolution.R... 0 tests
     test_arrayschemaevolution.R... 0 tests
     test_arrayschemaevolution.R... 1 tests <1b>[0;32mOK<1b>[0m
     test_arrayschemaevolution.R... 2 tests <1b>[0;32mOK<1b>[0m
     test_arrayschemaevolution.R... 2 tests <1b>[0;32mOK<1b>[0m
     test_arrayschemaevolution.R... 2 tests <1b>[0;32mOK<1b>[0m
     test_arrayschemaevolution.R... 2 tests <1b>[0;32mOK<1b>[0m
     test_arrayschemaevolution.R... 2 tests <1b>[0;32mOK<1b>[0m
     test_arrayschemaevolution.R... 2 tests <1b>[0;32mOK<1b>[0m
     test_arrayschemaevolution.R... 3 tests <1b>[0;32mOK<1b>[0m
     test_arrayschemaevolution.R... 4 tests <1b>[0;32mOK<1b>[0m <1b>[0;34m0.5s<1b>[0m
    
     test_arrowio.R................ 0 tests
     test_arrowio.R................ 0 tests
     test_arrowio.R................ 0 tests
     test_arrowio.R................ 0 tests
     test_arrowio.R................ 0 tests
     test_arrowio.R................ 0 tests
     test_arrowio.R................ 0 tests <1b>[0;36m25ms<1b>[0m [Exited at #12: No 'arrow' package.]
    
     test_attr.R................... 0 tests
     test_attr.R................... 0 tests
     test_attr.R................... 0 tests
     test_attr.R................... 0 tests
     test_attr.R................... 0 tests
     test_attr.R................... 1 tests <1b>[0;32mOK<1b>[0m
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     test_attr.R................... 12 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 13 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 13 tests <1b>[0;32mOK<1b>[0m
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     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
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     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 16 tests <1b>[0;32mOK<1b>[0m
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     test_attr.R................... 19 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 19 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 19 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 19 tests <1b>[0;32mOK<1b>[0m
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     test_attr.R................... 19 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 19 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 19 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 19 tests <1b>[0;32mOK<1b>[0m
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     test_attr.R................... 26 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 26 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 26 tests <1b>[0;32mOK<1b>[0m
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     test_attr.R................... 26 tests <1b>[0;32mOK<1b>[0m
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     test_attr.R................... 26 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 27 tests <1b>[0;32mOK<1b>[0m
     test_attr.R................... 28 tests <1b>[0;32mOK<1b>[0m <1b>[0;34m0.7s<1b>[0m
    
     test_config.R................. 0 tests
     test_config.R................. 0 tests
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     test_config.R................. 0 tests
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     test_ctx.R.................... 0 tests
     test_ctx.R.................... 0 tests
     test_ctx.R.................... 0 tests
     test_ctx.R.................... 0 tests
     test_ctx.R.................... 0 tests
     test_ctx.R.................... 0 tests
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     test_ctx.R.................... 4 tests <1b>[0;32mOK<1b>[0m
     test_ctx.R.................... 5 tests <1b>[0;32mOK<1b>[0m
     test_ctx.R.................... 6 tests <1b>[0;32mOK<1b>[0m
     test_ctx.R.................... 6 tests <1b>[0;32mOK<1b>[0m
     test_ctx.R.................... 7 tests <1b>[0;32mOK<1b>[0m
     test_ctx.R.................... 8 tests <1b>[0;32mOK<1b>[0m <1b>[0;36m45ms<1b>[0m
    
     test_dataframe.R.............. 0 tests
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     test_datetime.R............... 0 tests
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     test_datetime.R............... 1 tests <1b>[0;32mOK<1b>[0m
     test_datetime.R............... 1 tests <1b>[0;32mOK<1b>[0m
     test_datetime.R............... 1 tests <1b>[0;32mOK<1b>[0m
     test_datetime.R............... 1 tests <1b>[0;32mOK<1b>[0m
     test_datetime.R............... 1 tests <1b>[0;32mOK<1b>[0m
     test_datetime.R............... 2 tests <1b>[0;32mOK<1b>[0m
     test_datetime.R............... 2 tests <1b>[0;32mOK<1b>[0m
     test_datetime.R............... 2 tests <1b>[0;32mOK<1b>[0m
     test_datetime.R............... 2 tests <1b>[0;32mOK<1b>[0m
     test_datetime.R............... 2 tests <1b>[0;32mOK<1b>[0m
     test_datetime.R............... 2 tests <1b>[0;32mOK<1b>[0m
     test_datetime.R............... 2 tests <1b>[0;32mOK<1b>[0m
     test_datetime.R............... 2 tests <1b>[0;32mOK<1b>[0m
     test_datetime.R............... 2 tests <1b>[0;32mOK<1b>[0m
     test_datetime.R............... 2 tests <1b>[0;32mOK<1b>[0m
     test_datetime.R............... 2 tests <1b>[0;32mOK<1b>[0m
     test_datetime.R............... 2 tests <1b>[0;32mOK<1b>[0m
     test_datetime.R............... 2 tests <1b>[0;32mOK<1b>[0m
     test_datetime.R............... 3 tests <1b>[0;32mOK<1b>[0m
     test_datetime.R............... 3 tests <1b>[0;32mOK<1b>[0m
     test_datetime.R............... 3 tests <1b>[0;32mOK<1b>[0m
     test_datetime.R............... 3 tests <1b>[0;32mOK<1b>[0m
     test_datetime.R............... 3 tests <1b>[0;32mOK<1b>[0m
     test_datetime.R............... 3 tests <1b>[0;32mOK<1b>[0m
     test_datetime.R............... 3 tests <1b>[0;32mOK<1b>[0m
     test_datetime.R............... 3 tests <1b>[0;32mOK<1b>[0m
     test_datetime.R............... 3 tests <1b>[0;32mOK<1b>[0m
     test_datetime.R............... 3 tests <1b>[0;32mOK<1b>[0m
     test_datetime.R............... 3 tests <1b>[0;32mOK<1b>[0m
     test_datetime.R............... 3 tests <1b>[0;32mOK<1b>[0m
     test_datetime.R............... 3 tests <1b>[0;32mOK<1b>[0m
     test_datetime.R............... 4 tests <1b>[0;32mOK<1b>[0m
     test_datetime.R............... 4 tests <1b>[0;32mOK<1b>[0m
     test_datetime.R............... 5 tests <1b>[0;32mOK<1b>[0m <1b>[0;34m0.5s<1b>[0m
    
     test_dim.R.................... 0 tests
     test_dim.R.................... 0 tests
     test_dim.R.................... 0 tests
     test_dim.R.................... 0 tests
     test_dim.R.................... 0 tests
     test_dim.R.................... 0 tests
     test_dim.R.................... 1 tests <1b>[0;32mOK<1b>[0m
     test_dim.R.................... 2 tests <1b>[0;32mOK<1b>[0m
     test_dim.R.................... 3 tests <1b>[0;32mOK<1b>[0m
     test_dim.R.................... 4 tests <1b>[0;32mOK<1b>[0m
     test_dim.R.................... 4 tests <1b>[0;32mOK<1b>[0m
     test_dim.R.................... 5 tests <1b>[0;32mOK<1b>[0m
     test_dim.R.................... 5 tests <1b>[0;32mOK<1b>[0m
     test_dim.R.................... 6 tests <1b>[0;32mOK<1b>[0m
     test_dim.R.................... 6 tests <1b>[0;32mOK<1b>[0m
     test_dim.R.................... 7 tests <1b>[0;32mOK<1b>[0m
     test_dim.R.................... 7 tests <1b>[0;32mOK<1b>[0m
     test_dim.R.................... 8 tests <1b>[0;32mOK<1b>[0m
     test_dim.R.................... 8 tests <1b>[0;32mOK<1b>[0m
     test_dim.R.................... 9 tests <1b>[0;32mOK<1b>[0m
     test_dim.R.................... 9 tests <1b>[0;32mOK<1b>[0m
     test_dim.R.................... 10 tests <1b>[0;32mOK<1b>[0m
     test_dim.R.................... 10 tests <1b>[0;32mOK<1b>[0m
     test_dim.R.................... 11 tests <1b>[0;32mOK<1b>[0m
     test_dim.R.................... 11 tests <1b>[0;32mOK<1b>[0m
     test_dim.R.................... 12 tests <1b>[0;32mOK<1b>[0m
     test_dim.R.................... 12 tests <1b>[0;32mOK<1b>[0m
     test_dim.R.................... 13 tests <1b>[0;32mOK<1b>[0m
     test_dim.R.................... 13 tests <1b>[0;32mOK<1b>[0m
     test_dim.R.................... 14 tests <1b>[0;32mOK<1b>[0m
     test_dim.R.................... 14 tests <1b>[0;32mOK<1b>[0m
     test_dim.R.................... 15 tests <1b>[0;32mOK<1b>[0m
     test_dim.R.................... 15 tests <1b>[0;32mOK<1b>[0m
     test_dim.R.................... 16 tests <1b>[0;32mOK<1b>[0m
     test_dim.R.................... 16 tests <1b>[0;32mOK<1b>[0m
     test_dim.R.................... 17 tests <1b>[0;32mOK<1b>[0m
     test_dim.R.................... 17 tests <1b>[0;32mOK<1b>[0m
     test_dim.R.................... 17 tests <1b>[0;32mOK<1b>[0m
     test_dim.R.................... 18 tests <1b>[0;32mOK<1b>[0m
     test_dim.R.................... 18 tests <1b>[0;32mOK<1b>[0m
     test_dim.R.................... 18 tests <1b>[0;32mOK<1b>[0m
     test_dim.R.................... 18 tests <1b>[0;32mOK<1b>[0m
     test_dim.R.................... 18 tests <1b>[0;32mOK<1b>[0m
     test_dim.R.................... 18 tests <1b>[0;32mOK<1b>[0m
     test_dim.R.................... 18 tests <1b>[0;32mOK<1b>[0m
     test_dim.R.................... 142 tests <1b>[0;32mOK<1b>[0m <1b>[0;34m2.9s<1b>[0m
    
     test_dimsubset.R.............. 0 tests
     test_dimsubset.R.............. 0 tests
     test_dimsubset.R.............. 0 tests
     test_dimsubset.R.............. 0 tests
     test_dimsubset.R.............. 0 tests
     test_dimsubset.R.............. 0 tests
     test_dimsubset.R.............. 0 tests
     test_dimsubset.R.............. 0 tests
     test_dimsubset.R.............. 0 tests
     test_dimsubset.R.............. 0 tests
     test_dimsubset.R.............. 0 tests
     test_dimsubset.R.............. 0 tests
     test_dimsubset.R.............. 0 tests
     test_dimsubset.R.............. 0 tests
     test_dimsubset.R.............. 0 tests
     test_dimsubset.R.............. 0 tests
     test_dimsubset.R.............. 0 tests
     test_dimsubset.R.............. 0 tests
     test_dimsubset.R.............. 1 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 2 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 3 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 3 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 3 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 4 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 5 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 6 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 6 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 6 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 7 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 7 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 7 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 8 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 8 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 8 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 9 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 9 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 9 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 9 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 10 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 11 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 11 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 11 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 12 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 13 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 13 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 13 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 14 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 15 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 15 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 15 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 16 tests <1b>[0;32mOK<1b>[0m
     test_dimsubset.R.............. 17 tests <1b>[0;32mOK<1b>[0m <1b>[0;34m25.4s<1b>[0m
    
     test_domain.R................. 0 tests
     test_domain.R................. 0 tests
     test_domain.R................. 0 tests
     test_domain.R................. 0 tests
     test_domain.R................. 0 tests
     test_domain.R................. 0 tests
     test_domain.R................. 0 tests
     test_domain.R................. 1 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 1 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 1 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 1 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 1 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 2 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 3 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 3 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 3 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 3 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 4 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 4 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 4 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 4 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 4 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 4 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 5 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 6 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 7 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 8 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 9 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 10 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 11 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 12 tests <1b>[0;32mOK<1b>[0m
     test_domain.R................. 13 tests <1b>[0;32mOK<1b>[0m <1b>[0;36m44ms<1b>[0m
    
     test_filestore.R.............. 0 tests
     test_filestore.R.............. 0 tests
     test_filestore.R.............. 0 tests
     test_filestore.R.............. 0 tests <1b>[0;36m18ms<1b>[0m [Exited at #8: Needs TileDB 2.9.* or later]
    
     test_filter.R................. 0 tests
     test_filter.R................. 0 tests
     test_filter.R................. 0 tests
     test_filter.R................. 0 tests
     test_filter.R................. 0 tests
     test_filter.R................. 0 tests
     test_filter.R................. 1 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 1 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 2 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 2 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 15 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 15 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 16 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 17 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 17 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 27 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 27 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 27 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 28 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 28 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 28 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 29 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 29 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 29 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 29 tests <1b>[0;32mOK<1b>[0m
     test_filter.R................. 29 tests <1b>[0;32mOK<1b>[0m
     *** caught illegal operation ***
     address 0x7f9179342863, cause 'illegal operand'
    
     Traceback:
     1: libtiledb_query_submit(qryptr)
     2: `[<-`(`*tmp*`, , value = list(`__tiledb_rows` = 1:344, species = c("Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap"), island = c("Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream"), bill_length_mm = c(39.1, 39.5, 40.3, NA, 36.7, 39.3, 38.9, 39.2, 34.1, 42, 37.8, 37.8, 41.1, 38.6, 34.6, 36.6, 38.7, 42.5, 34.4, 46, 37.8, 37.7, 35.9, 38.2, 38.8, 35.3, 40.6, 40.5, 37.9, 40.5, 39.5, 37.2, 39.5, 40.9, 36.4, 39.2, 38.8, 42.2, 37.6, 39.8, 36.5, 40.8, 36, 44.1, 37, 39.6, 41.1, 37.5, 36, 42.3, 39.6, 40.1, 35, 42, 34.5, 41.4, 39, 40.6, 36.5, 37.6, 35.7, 41.3, 37.6, 41.1, 36.4, 41.6, 35.5, 41.1, 35.9, 41.8, 33.5, 39.7, 39.6, 45.8, 35.5, 42.8, 40.9, 37.2, 36.2, 42.1, 34.6, 42.9, 36.7, 35.1, 37.3, 41.3, 36.3, 36.9, 38.3, 38.9, 35.7, 41.1, 34, 39.6, 36.2, 40.8, 38.1, 40.3, 33.1, 43.2, 35, 41, 37.7, 37.8, 37.9, 39.7, 38.6, 38.2, 38.1, 43.2, 38.1, 45.6, 39.7, 42.2, 39.6, 42.7, 38.6, 37.3, 35.7, 41.1, 36.2, 37.7, 40.2, 41.4, 35.2, 40.6, 38.8, 41.5, 39, 44.1, 38.5, 43.1, 36.8, 37.5, 38.1, 41.1, 35.6, 40.2, 37, 39.7, 40.2, 40.6, 32.1, 40.7, 37.3, 39, 39.2, 36.6, 36, 37.8, 36, 41.5, 46.1, 50, 48.7, 50, 47.6, 46.5, 45.4, 46.7, 43.3, 46.8, 40.9, 49, 45.5, 48.4, 45.8, 49.3, 42, 49.2, 46.2, 48.7, 50.2, 45.1, 46.5, 46.3, 42.9, 46.1, 44.5, 47.8, 48.2, 50, 47.3, 42.8, 45.1, 59.6, 49.1, 48.4, 42.6, 44.4, 44, 48.7, 42.7, 49.6, 45.3, 49.6, 50.5, 43.6, 45.5, 50.5, 44.9, 45.2, 46.6, 48.5, 45.1, 50.1, 46.5, 45, 43.8, 45.5, 43.2, 50.4, 45.3, 46.2, 45.7, 54.3, 45.8, 49.8, 46.2, 49.5, 43.5, 50.7, 47.7, 46.4, 48.2, 46.5, 46.4, 48.6, 47.5, 51.1, 45.2, 45.2, 49.1, 52.5, 47.4, 50, 44.9, 50.8, 43.4, 51.3, 47.5, 52.1, 47.5, 52.2, 45.5, 49.5, 44.5, 50.8, 49.4, 46.9, 48.4, 51.1, 48.5, 55.9, 47.2, 49.1, 47.3, 46.8, 41.7, 53.4, 43.3, 48.1, 50.5, 49.8, 43.5, 51.5, 46.2, 55.1, 44.5, 48.8, 47.2, NA, 46.8, 50.4, 45.2, 49.9, 46.5, 50, 51.3, 45.4, 52.7, 45.2, 46.1, 51.3, 46, 51.3, 46.6, 51.7, 47, 52, 45.9, 50.5, 50.3, 58, 46.4, 49.2, 42.4, 48.5, 43.2, 50.6, 46.7, 52, 50.5, 49.5, 46.4, 52.8, 40.9, 54.2, 42.5, 51, 49.7, 47.5, 47.6, 52, 46.9, 53.5, 49, 46.2, 50.9, 45.5, 50.9, 50.8, 50.1, 49, 51.5, 49.8, 48.1, 51.4, 45.7, 50.7, 42.5, 52.2, 45.2, 49.3, 50.2, 45.6, 51.9, 46.8, 45.7, 55.8, 43.5, 49.6, 50.8, 50.2), bill_depth_mm = c(18.7, 17.4, 18, NA, 19.3, 20.6, 17.8, 19.6, 18.1, 20.2, 17.1, 17.3, 17.6, 21.2, 21.1, 17.8, 19, 20.7, 18.4, 21.5, 18.3, 18.7, 19.2, 18.1, 17.2, 18.9, 18.6, 17.9, 18.6, 18.9, 16.7, 18.1, 17.8, 18.9, 17, 21.1, 20, 18.5, 19.3, 19.1, 18, 18.4, 18.5, 19.7, 16.9, 18.8, 19, 18.9, 17.9, 21.2, 17.7, 18.9, 17.9, 19.5, 18.1, 18.6, 17.5, 18.8, 16.6, 19.1, 16.9, 21.1, 17, 18.2, 17.1, 18, 16.2, 19.1, 16.6, 19.4, 19, 18.4, 17.2, 18.9, 17.5, 18.5, 16.8, 19.4, 16.1, 19.1, 17.2, 17.6, 18.8, 19.4, 17.8, 20.3, 19.5, 18.6, 19.2, 18.8, 18, 18.1, 17.1, 18.1, 17.3, 18.9, 18.6, 18.5, 16.1, 18.5, 17.9, 20, 16, 20, 18.6, 18.9, 17.2, 20, 17, 19, 16.5, 20.3, 17.7, 19.5, 20.7, 18.3, 17, 20.5, 17, 18.6, 17.2, 19.8, 17, 18.5, 15.9, 19, 17.6, 18.3, 17.1, 18, 17.9, 19.2, 18.5, 18.5, 17.6, 17.5, 17.5, 20.1, 16.5, 17.9, 17.1, 17.2, 15.5, 17, 16.8, 18.7, 18.6, 18.4, 17.8, 18.1, 17.1, 18.5, 13.2, 16.3, 14.1, 15.2, 14.5, 13.5, 14.6, 15.3, 13.4, 15.4, 13.7, 16.1, 13.7, 14.6, 14.6, 15.7, 13.5, 15.2, 14.5, 15.1, 14.3, 14.5, 14.5, 15.8, 13.1, 15.1, 14.3, 15, 14.3, 15.3, 15.3, 14.2, 14.5, 17, 14.8, 16.3, 13.7, 17.3, 13.6, 15.7, 13.7, 16, 13.7, 15, 15.9, 13.9, 13.9, 15.9, 13.3, 15.8, 14.2, 14.1, 14.4, 15, 14.4, 15.4, 13.9, 15, 14.5, 15.3, 13.8, 14.9, 13.9, 15.7, 14.2, 16.8, 14.4, 16.2, 14.2, 15, 15, 15.6, 15.6, 14.8, 15, 16, 14.2, 16.3, 13.8, 16.4, 14.5, 15.6, 14.6, 15.9, 13.8, 17.3, 14.4, 14.2, 14, 17, 15, 17.1, 14.5, 16.1, 14.7, 15.7, 15.8, 14.6, 14.4, 16.5, 15, 17, 15.5, 15, 13.8, 16.1, 14.7, 15.8, 14, 15.1, 15.2, 15.9, 15.2, 16.3, 14.1, 16, 15.7, 16.2, 13.7, NA, 14.3, 15.7, 14.8, 16.1, 17.9, 19.5, 19.2, 18.7, 19.8, 17.8, 18.2, 18.2, 18.9, 19.9, 17.8, 20.3, 17.3, 18.1, 17.1, 19.6, 20, 17.8, 18.6, 18.2, 17.3, 17.5, 16.6, 19.4, 17.9, 19, 18.4, 19, 17.8, 20, 16.6, 20.8, 16.7, 18.8, 18.6, 16.8, 18.3, 20.7, 16.6, 19.9, 19.5, 17.5, 19.1, 17, 17.9, 18.5, 17.9, 19.6, 18.7, 17.3, 16.4, 19, 17.3, 19.7, 17.3, 18.8, 16.6, 19.9, 18.8, 19.4, 19.5, 16.5, 17, 19.8, 18.1, 18.2, 19, 18.7), flipper_length_mm = c(181L, 186L, 195L, NA, 193L, 190L, 181L, 195L, 193L, 190L, 186L, 180L, 182L, 191L, 198L, 185L, 195L, 197L, 184L, 194L, 174L, 180L, 189L, 185L, 180L, 187L, 183L, 187L, 172L, 180L, 178L, 178L, 188L, 184L, 195L, 196L, 190L, 180L, 181L, 184L, 182L, 195L, 186L, 196L, 185L, 190L, 182L, 179L, 190L, 191L, 186L, 188L, 190L, 200L, 187L, 191L, 186L, 193L, 181L, 194L, 185L, 195L, 185L, 192L, 184L, 192L, 195L, 188L, 190L, 198L, 190L, 190L, 196L, 197L, 190L, 195L, 191L, 184L, 187L, 195L, 189L, 196L, 187L, 193L, 191L, 194L, 190L, 189L, 189L, 190L, 202L, 205L, 185L, 186L, 187L, 208L, 190L, 196L, 178L, 192L, 192L, 203L, 183L, 190L, 193L, 184L, 199L, 190L, 181L, 197L, 198L, 191L, 193L, 197L, 191L, 196L, 188L, 199L, 189L, 189L, 187L, 198L, 176L, 202L, 186L, 199L, 191L, 195L, 191L, 210L, 190L, 197L, 193L, 199L, 187L, 190L, 191L, 200L, 185L, 193L, 193L, 187L, 188L, 190L, 192L, 185L, 190L, 184L, 195L, 193L, 187L, 201L, 211L, 230L, 210L, 218L, 215L, 210L, 211L, 219L, 209L, 215L, 214L, 216L, 214L, 213L, 210L, 217L, 210L, 221L, 209L, 222L, 218L, 215L, 213L, 215L, 215L, 215L, 216L, 215L, 210L, 220L, 222L, 209L, 207L, 230L, 220L, 220L, 213L, 219L, 208L, 208L, 208L, 225L, 210L, 216L, 222L, 217L, 210L, 225L, 213L, 215L, 210L, 220L, 210L, 225L, 217L, 220L, 208L, 220L, 208L, 224L, 208L, 221L, 214L, 231L, 219L, 230L, 214L, 229L, 220L, 223L, 216L, 221L, 221L, 217L, 216L, 230L, 209L, 220L, 215L, 223L, 212L, 221L, 212L, 224L, 212L, 228L, 218L, 218L, 212L, 230L, 218L, 228L, 212L, 224L, 214L, 226L, 216L, 222L, 203L, 225L, 219L, 228L, 215L, 228L, 216L, 215L, 210L, 219L, 208L, 209L, 216L, 229L, 213L, 230L, 217L, 230L, 217L, 222L, 214L, NA, 215L, 222L, 212L, 213L, 192L, 196L, 193L, 188L, 197L, 198L, 178L, 197L, 195L, 198L, 193L, 194L, 185L, 201L, 190L, 201L, 197L, 181L, 190L, 195L, 181L, 191L, 187L, 193L, 195L, 197L, 200L, 200L, 191L, 205L, 187L, 201L, 187L, 203L, 195L, 199L, 195L, 210L, 192L, 205L, 210L, 187L, 196L, 196L, 196L, 201L, 190L, 212L, 187L, 198L, 199L, 201L, 193L, 203L, 187L, 197L, 191L, 203L, 202L, 194L, 206L, 189L, 195L, 207L, 202L, 193L, 210L, 198L), body_mass_g = c(3750L, 3800L, 3250L, NA, 3450L, 3650L, 3625L, 4675L, 3475L, 4250L, 3300L, 3700L, 3200L, 3800L, 4400L, 3700L, 3450L, 4500L, 3325L, 4200L, 3400L, 3600L, 3800L, 3950L, 3800L, 3800L, 3550L, 3200L, 3150L, 3950L, 3250L, 3900L, 3300L, 3900L, 3325L, 4150L, 3950L, 3550L, 3300L, 4650L, 3150L, 3900L, 3100L, 4400L, 3000L, 4600L, 3425L, 2975L, 3450L, 4150L, 3500L, 4300L, 3450L, 4050L, 2900L, 3700L, 3550L, 3800L, 2850L, 3750L, 3150L, 4400L, 3600L, 4050L, 2850L, 3950L, 3350L, 4100L, 3050L, 4450L, 3600L, 3900L, 3550L, 4150L, 3700L, 4250L, 3700L, 3900L, 3550L, 4000L, 3200L, 4700L, 3800L, 4200L, 3350L, 3550L, 3800L, 3500L, 3950L, 3600L, 3550L, 4300L, 3400L, 4450L, 3300L, 4300L, 3700L, 4350L, 2900L, 4100L, 3725L, 4725L, 3075L, 4250L, 2925L, 3550L, 3750L, 3900L, 3175L, 4775L, 3825L, 4600L, 3200L, 4275L, 3900L, 4075L, 2900L, 3775L, 3350L, 3325L, 3150L, 3500L, 3450L, 3875L, 3050L, 4000L, 3275L, 4300L, 3050L, 4000L, 3325L, 3500L, 3500L, 4475L, 3425L, 3900L, 3175L, 3975L, 3400L, 4250L, 3400L, 3475L, 3050L, 3725L, 3000L, 3650L, 4250L, 3475L, 3450L, 3750L, 3700L, 4000L, 4500L, 5700L, 4450L, 5700L, 5400L, 4550L, 4800L, 5200L, 4400L, 5150L, 4650L, 5550L, 4650L, 5850L, 4200L, 5850L, 4150L, 6300L, 4800L, 5350L, 5700L, 5000L, 4400L, 5050L, 5000L, 5100L, 4100L, 5650L, 4600L, 5550L, 5250L, 4700L, 5050L, 6050L, 5150L, 5400L, 4950L, 5250L, 4350L, 5350L, 3950L, 5700L, 4300L, 4750L, 5550L, 4900L, 4200L, 5400L, 5100L, 5300L, 4850L, 5300L, 4400L, 5000L, 4900L, 5050L, 4300L, 5000L, 4450L, 5550L, 4200L, 5300L, 4400L, 5650L, 4700L, 5700L, 4650L, 5800L, 4700L, 5550L, 4750L, 5000L, 5100L, 5200L, 4700L, 5800L, 4600L, 6000L, 4750L, 5950L, 4625L, 5450L, 4725L, 5350L, 4750L, 5600L, 4600L, 5300L, 4875L, 5550L, 4950L, 5400L, 4750L, 5650L, 4850L, 5200L, 4925L, 4875L, 4625L, 5250L, 4850L, 5600L, 4975L, 5500L, 4725L, 5500L, 4700L, 5500L, 4575L, 5500L, 5000L, 5950L, 4650L, 5500L, 4375L, 5850L, 4875L, 6000L, 4925L, NA, 4850L, 5750L, 5200L, 5400L, 3500L, 3900L, 3650L, 3525L, 3725L, 3950L, 3250L, 3750L, 4150L, 3700L, 3800L, 3775L, 3700L, 4050L, 3575L, 4050L, 3300L, 3700L, 3450L, 4400L, 3600L, 3400L, 2900L, 3800L, 3300L, 4150L, 3400L, 3800L, 3700L, 4550L, 3200L, 4300L, 3350L, 4100L, 3600L, 3900L, 3850L, 4800L, 2700L, 4500L, 3950L, 3650L, 3550L, 3500L, 3675L, 4450L, 3400L, 4300L, 3250L, 3675L, 3325L, 3950L, 3600L, 4050L, 3350L, 3450L, 3250L, 4050L, 3800L, 3525L, 3950L, 3650L, 3650L, 4000L, 3400L, 3775L, 4100L, 3775L), sex = c("male", "female", "female", NA, "female", "male", "female", "male", NA, NA, NA, NA, "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", NA, "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", NA, "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", NA, "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", NA, "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", NA, "male", "female", NA, "female", "male", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "male", "female"), year = c(2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L)))
     3: `[<-`(`*tmp*`, , value = list(`__tiledb_rows` = 1:344, species = c("Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap"), island = c("Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream"), bill_length_mm = c(39.1, 39.5, 40.3, NA, 36.7, 39.3, 38.9, 39.2, 34.1, 42, 37.8, 37.8, 41.1, 38.6, 34.6, 36.6, 38.7, 42.5, 34.4, 46, 37.8, 37.7, 35.9, 38.2, 38.8, 35.3, 40.6, 40.5, 37.9, 40.5, 39.5, 37.2, 39.5, 40.9, 36.4, 39.2, 38.8, 42.2, 37.6, 39.8, 36.5, 40.8, 36, 44.1, 37, 39.6, 41.1, 37.5, 36, 42.3, 39.6, 40.1, 35, 42, 34.5, 41.4, 39, 40.6, 36.5, 37.6, 35.7, 41.3, 37.6, 41.1, 36.4, 41.6, 35.5, 41.1, 35.9, 41.8, 33.5, 39.7, 39.6, 45.8, 35.5, 42.8, 40.9, 37.2, 36.2, 42.1, 34.6, 42.9, 36.7, 35.1, 37.3, 41.3, 36.3, 36.9, 38.3, 38.9, 35.7, 41.1, 34, 39.6, 36.2, 40.8, 38.1, 40.3, 33.1, 43.2, 35, 41, 37.7, 37.8, 37.9, 39.7, 38.6, 38.2, 38.1, 43.2, 38.1, 45.6, 39.7, 42.2, 39.6, 42.7, 38.6, 37.3, 35.7, 41.1, 36.2, 37.7, 40.2, 41.4, 35.2, 40.6, 38.8, 41.5, 39, 44.1, 38.5, 43.1, 36.8, 37.5, 38.1, 41.1, 35.6, 40.2, 37, 39.7, 40.2, 40.6, 32.1, 40.7, 37.3, 39, 39.2, 36.6, 36, 37.8, 36, 41.5, 46.1, 50, 48.7, 50, 47.6, 46.5, 45.4, 46.7, 43.3, 46.8, 40.9, 49, 45.5, 48.4, 45.8, 49.3, 42, 49.2, 46.2, 48.7, 50.2, 45.1, 46.5, 46.3, 42.9, 46.1, 44.5, 47.8, 48.2, 50, 47.3, 42.8, 45.1, 59.6, 49.1, 48.4, 42.6, 44.4, 44, 48.7, 42.7, 49.6, 45.3, 49.6, 50.5, 43.6, 45.5, 50.5, 44.9, 45.2, 46.6, 48.5, 45.1, 50.1, 46.5, 45, 43.8, 45.5, 43.2, 50.4, 45.3, 46.2, 45.7, 54.3, 45.8, 49.8, 46.2, 49.5, 43.5, 50.7, 47.7, 46.4, 48.2, 46.5, 46.4, 48.6, 47.5, 51.1, 45.2, 45.2, 49.1, 52.5, 47.4, 50, 44.9, 50.8, 43.4, 51.3, 47.5, 52.1, 47.5, 52.2, 45.5, 49.5, 44.5, 50.8, 49.4, 46.9, 48.4, 51.1, 48.5, 55.9, 47.2, 49.1, 47.3, 46.8, 41.7, 53.4, 43.3, 48.1, 50.5, 49.8, 43.5, 51.5, 46.2, 55.1, 44.5, 48.8, 47.2, NA, 46.8, 50.4, 45.2, 49.9, 46.5, 50, 51.3, 45.4, 52.7, 45.2, 46.1, 51.3, 46, 51.3, 46.6, 51.7, 47, 52, 45.9, 50.5, 50.3, 58, 46.4, 49.2, 42.4, 48.5, 43.2, 50.6, 46.7, 52, 50.5, 49.5, 46.4, 52.8, 40.9, 54.2, 42.5, 51, 49.7, 47.5, 47.6, 52, 46.9, 53.5, 49, 46.2, 50.9, 45.5, 50.9, 50.8, 50.1, 49, 51.5, 49.8, 48.1, 51.4, 45.7, 50.7, 42.5, 52.2, 45.2, 49.3, 50.2, 45.6, 51.9, 46.8, 45.7, 55.8, 43.5, 49.6, 50.8, 50.2), bill_depth_mm = c(18.7, 17.4, 18, NA, 19.3, 20.6, 17.8, 19.6, 18.1, 20.2, 17.1, 17.3, 17.6, 21.2, 21.1, 17.8, 19, 20.7, 18.4, 21.5, 18.3, 18.7, 19.2, 18.1, 17.2, 18.9, 18.6, 17.9, 18.6, 18.9, 16.7, 18.1, 17.8, 18.9, 17, 21.1, 20, 18.5, 19.3, 19.1, 18, 18.4, 18.5, 19.7, 16.9, 18.8, 19, 18.9, 17.9, 21.2, 17.7, 18.9, 17.9, 19.5, 18.1, 18.6, 17.5, 18.8, 16.6, 19.1, 16.9, 21.1, 17, 18.2, 17.1, 18, 16.2, 19.1, 16.6, 19.4, 19, 18.4, 17.2, 18.9, 17.5, 18.5, 16.8, 19.4, 16.1, 19.1, 17.2, 17.6, 18.8, 19.4, 17.8, 20.3, 19.5, 18.6, 19.2, 18.8, 18, 18.1, 17.1, 18.1, 17.3, 18.9, 18.6, 18.5, 16.1, 18.5, 17.9, 20, 16, 20, 18.6, 18.9, 17.2, 20, 17, 19, 16.5, 20.3, 17.7, 19.5, 20.7, 18.3, 17, 20.5, 17, 18.6, 17.2, 19.8, 17, 18.5, 15.9, 19, 17.6, 18.3, 17.1, 18, 17.9, 19.2, 18.5, 18.5, 17.6, 17.5, 17.5, 20.1, 16.5, 17.9, 17.1, 17.2, 15.5, 17, 16.8, 18.7, 18.6, 18.4, 17.8, 18.1, 17.1, 18.5, 13.2, 16.3, 14.1, 15.2, 14.5, 13.5, 14.6, 15.3, 13.4, 15.4, 13.7, 16.1, 13.7, 14.6, 14.6, 15.7, 13.5, 15.2, 14.5, 15.1, 14.3, 14.5, 14.5, 15.8, 13.1, 15.1, 14.3, 15, 14.3, 15.3, 15.3, 14.2, 14.5, 17, 14.8, 16.3, 13.7, 17.3, 13.6, 15.7, 13.7, 16, 13.7, 15, 15.9, 13.9, 13.9, 15.9, 13.3, 15.8, 14.2, 14.1, 14.4, 15, 14.4, 15.4, 13.9, 15, 14.5, 15.3, 13.8, 14.9, 13.9, 15.7, 14.2, 16.8, 14.4, 16.2, 14.2, 15, 15, 15.6, 15.6, 14.8, 15, 16, 14.2, 16.3, 13.8, 16.4, 14.5, 15.6, 14.6, 15.9, 13.8, 17.3, 14.4, 14.2, 14, 17, 15, 17.1, 14.5, 16.1, 14.7, 15.7, 15.8, 14.6, 14.4, 16.5, 15, 17, 15.5, 15, 13.8, 16.1, 14.7, 15.8, 14, 15.1, 15.2, 15.9, 15.2, 16.3, 14.1, 16, 15.7, 16.2, 13.7, NA, 14.3, 15.7, 14.8, 16.1, 17.9, 19.5, 19.2, 18.7, 19.8, 17.8, 18.2, 18.2, 18.9, 19.9, 17.8, 20.3, 17.3, 18.1, 17.1, 19.6, 20, 17.8, 18.6, 18.2, 17.3, 17.5, 16.6, 19.4, 17.9, 19, 18.4, 19, 17.8, 20, 16.6, 20.8, 16.7, 18.8, 18.6, 16.8, 18.3, 20.7, 16.6, 19.9, 19.5, 17.5, 19.1, 17, 17.9, 18.5, 17.9, 19.6, 18.7, 17.3, 16.4, 19, 17.3, 19.7, 17.3, 18.8, 16.6, 19.9, 18.8, 19.4, 19.5, 16.5, 17, 19.8, 18.1, 18.2, 19, 18.7), flipper_length_mm = c(181L, 186L, 195L, NA, 193L, 190L, 181L, 195L, 193L, 190L, 186L, 180L, 182L, 191L, 198L, 185L, 195L, 197L, 184L, 194L, 174L, 180L, 189L, 185L, 180L, 187L, 183L, 187L, 172L, 180L, 178L, 178L, 188L, 184L, 195L, 196L, 190L, 180L, 181L, 184L, 182L, 195L, 186L, 196L, 185L, 190L, 182L, 179L, 190L, 191L, 186L, 188L, 190L, 200L, 187L, 191L, 186L, 193L, 181L, 194L, 185L, 195L, 185L, 192L, 184L, 192L, 195L, 188L, 190L, 198L, 190L, 190L, 196L, 197L, 190L, 195L, 191L, 184L, 187L, 195L, 189L, 196L, 187L, 193L, 191L, 194L, 190L, 189L, 189L, 190L, 202L, 205L, 185L, 186L, 187L, 208L, 190L, 196L, 178L, 192L, 192L, 203L, 183L, 190L, 193L, 184L, 199L, 190L, 181L, 197L, 198L, 191L, 193L, 197L, 191L, 196L, 188L, 199L, 189L, 189L, 187L, 198L, 176L, 202L, 186L, 199L, 191L, 195L, 191L, 210L, 190L, 197L, 193L, 199L, 187L, 190L, 191L, 200L, 185L, 193L, 193L, 187L, 188L, 190L, 192L, 185L, 190L, 184L, 195L, 193L, 187L, 201L, 211L, 230L, 210L, 218L, 215L, 210L, 211L, 219L, 209L, 215L, 214L, 216L, 214L, 213L, 210L, 217L, 210L, 221L, 209L, 222L, 218L, 215L, 213L, 215L, 215L, 215L, 216L, 215L, 210L, 220L, 222L, 209L, 207L, 230L, 220L, 220L, 213L, 219L, 208L, 208L, 208L, 225L, 210L, 216L, 222L, 217L, 210L, 225L, 213L, 215L, 210L, 220L, 210L, 225L, 217L, 220L, 208L, 220L, 208L, 224L, 208L, 221L, 214L, 231L, 219L, 230L, 214L, 229L, 220L, 223L, 216L, 221L, 221L, 217L, 216L, 230L, 209L, 220L, 215L, 223L, 212L, 221L, 212L, 224L, 212L, 228L, 218L, 218L, 212L, 230L, 218L, 228L, 212L, 224L, 214L, 226L, 216L, 222L, 203L, 225L, 219L, 228L, 215L, 228L, 216L, 215L, 210L, 219L, 208L, 209L, 216L, 229L, 213L, 230L, 217L, 230L, 217L, 222L, 214L, NA, 215L, 222L, 212L, 213L, 192L, 196L, 193L, 188L, 197L, 198L, 178L, 197L, 195L, 198L, 193L, 194L, 185L, 201L, 190L, 201L, 197L, 181L, 190L, 195L, 181L, 191L, 187L, 193L, 195L, 197L, 200L, 200L, 191L, 205L, 187L, 201L, 187L, 203L, 195L, 199L, 195L, 210L, 192L, 205L, 210L, 187L, 196L, 196L, 196L, 201L, 190L, 212L, 187L, 198L, 199L, 201L, 193L, 203L, 187L, 197L, 191L, 203L, 202L, 194L, 206L, 189L, 195L, 207L, 202L, 193L, 210L, 198L), body_mass_g = c(3750L, 3800L, 3250L, NA, 3450L, 3650L, 3625L, 4675L, 3475L, 4250L, 3300L, 3700L, 3200L, 3800L, 4400L, 3700L, 3450L, 4500L, 3325L, 4200L, 3400L, 3600L, 3800L, 3950L, 3800L, 3800L, 3550L, 3200L, 3150L, 3950L, 3250L, 3900L, 3300L, 3900L, 3325L, 4150L, 3950L, 3550L, 3300L, 4650L, 3150L, 3900L, 3100L, 4400L, 3000L, 4600L, 3425L, 2975L, 3450L, 4150L, 3500L, 4300L, 3450L, 4050L, 2900L, 3700L, 3550L, 3800L, 2850L, 3750L, 3150L, 4400L, 3600L, 4050L, 2850L, 3950L, 3350L, 4100L, 3050L, 4450L, 3600L, 3900L, 3550L, 4150L, 3700L, 4250L, 3700L, 3900L, 3550L, 4000L, 3200L, 4700L, 3800L, 4200L, 3350L, 3550L, 3800L, 3500L, 3950L, 3600L, 3550L, 4300L, 3400L, 4450L, 3300L, 4300L, 3700L, 4350L, 2900L, 4100L, 3725L, 4725L, 3075L, 4250L, 2925L, 3550L, 3750L, 3900L, 3175L, 4775L, 3825L, 4600L, 3200L, 4275L, 3900L, 4075L, 2900L, 3775L, 3350L, 3325L, 3150L, 3500L, 3450L, 3875L, 3050L, 4000L, 3275L, 4300L, 3050L, 4000L, 3325L, 3500L, 3500L, 4475L, 3425L, 3900L, 3175L, 3975L, 3400L, 4250L, 3400L, 3475L, 3050L, 3725L, 3000L, 3650L, 4250L, 3475L, 3450L, 3750L, 3700L, 4000L, 4500L, 5700L, 4450L, 5700L, 5400L, 4550L, 4800L, 5200L, 4400L, 5150L, 4650L, 5550L, 4650L, 5850L, 4200L, 5850L, 4150L, 6300L, 4800L, 5350L, 5700L, 5000L, 4400L, 5050L, 5000L, 5100L, 4100L, 5650L, 4600L, 5550L, 5250L, 4700L, 5050L, 6050L, 5150L, 5400L, 4950L, 5250L, 4350L, 5350L, 3950L, 5700L, 4300L, 4750L, 5550L, 4900L, 4200L, 5400L, 5100L, 5300L, 4850L, 5300L, 4400L, 5000L, 4900L, 5050L, 4300L, 5000L, 4450L, 5550L, 4200L, 5300L, 4400L, 5650L, 4700L, 5700L, 4650L, 5800L, 4700L, 5550L, 4750L, 5000L, 5100L, 5200L, 4700L, 5800L, 4600L, 6000L, 4750L, 5950L, 4625L, 5450L, 4725L, 5350L, 4750L, 5600L, 4600L, 5300L, 4875L, 5550L, 4950L, 5400L, 4750L, 5650L, 4850L, 5200L, 4925L, 4875L, 4625L, 5250L, 4850L, 5600L, 4975L, 5500L, 4725L, 5500L, 4700L, 5500L, 4575L, 5500L, 5000L, 5950L, 4650L, 5500L, 4375L, 5850L, 4875L, 6000L, 4925L, NA, 4850L, 5750L, 5200L, 5400L, 3500L, 3900L, 3650L, 3525L, 3725L, 3950L, 3250L, 3750L, 4150L, 3700L, 3800L, 3775L, 3700L, 4050L, 3575L, 4050L, 3300L, 3700L, 3450L, 4400L, 3600L, 3400L, 2900L, 3800L, 3300L, 4150L, 3400L, 3800L, 3700L, 4550L, 3200L, 4300L, 3350L, 4100L, 3600L, 3900L, 3850L, 4800L, 2700L, 4500L, 3950L, 3650L, 3550L, 3500L, 3675L, 4450L, 3400L, 4300L, 3250L, 3675L, 3325L, 3950L, 3600L, 4050L, 3350L, 3450L, 3250L, 4050L, 3800L, 3525L, 3950L, 3650L, 3650L, 4000L, 3400L, 3775L, 4100L, 3775L), sex = c("male", "female", "female", NA, "female", "male", "female", "male", NA, NA, NA, NA, "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", NA, "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", NA, "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", NA, "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", NA, "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", NA, "male", "female", NA, "female", "male", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "male", "female"), year = c(2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L)))
     4: fromDataFrame(dat2, uri, filter = name)
     5: eval(expr, envir = e)
     6: eval(expr, envir = e)
     7: FUN(X[[i]], ...)
     8: lapply(basename(testfiles), run_test_file, at_home = at_home, verbose = verbose, color = color, remove_side_effects = remove_side_effects, ...)
     9: run_test_dir(testdir, at_home = at_home, cluster = cluster, ...)
     10: tinytest::test_package("tiledb")
     An irrecoverable exception occurred. R is aborting now ...
    
     *** caught illegal operation ***
     address 0x7f9179342863, cause 'illegal operand'
    
     Traceback:
     1: libtiledb_query_submit(qryptr)
     2: `[<-`(`*tmp*`, , value = list(`__tiledb_rows` = 1:344, species = c("Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap"), island = c("Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream"), bill_length_mm = c(39.1, 39.5, 40.3, NA, 36.7, 39.3, 38.9, 39.2, 34.1, 42, 37.8, 37.8, 41.1, 38.6, 34.6, 36.6, 38.7, 42.5, 34.4, 46, 37.8, 37.7, 35.9, 38.2, 38.8, 35.3, 40.6, 40.5, 37.9, 40.5, 39.5, 37.2, 39.5, 40.9, 36.4, 39.2, 38.8, 42.2, 37.6, 39.8, 36.5, 40.8, 36, 44.1, 37, 39.6, 41.1, 37.5, 36, 42.3, 39.6, 40.1, 35, 42, 34.5, 41.4, 39, 40.6, 36.5, 37.6, 35.7, 41.3, 37.6, 41.1, 36.4, 41.6, 35.5, 41.1, 35.9, 41.8, 33.5, 39.7, 39.6, 45.8, 35.5, 42.8, 40.9, 37.2, 36.2, 42.1, 34.6, 42.9, 36.7, 35.1, 37.3, 41.3, 36.3, 36.9, 38.3, 38.9, 35.7, 41.1, 34, 39.6, 36.2, 40.8, 38.1, 40.3, 33.1, 43.2, 35, 41, 37.7, 37.8, 37.9, 39.7, 38.6, 38.2, 38.1, 43.2, 38.1, 45.6, 39.7, 42.2, 39.6, 42.7, 38.6, 37.3, 35.7, 41.1, 36.2, 37.7, 40.2, 41.4, 35.2, 40.6, 38.8, 41.5, 39, 44.1, 38.5, 43.1, 36.8, 37.5, 38.1, 41.1, 35.6, 40.2, 37, 39.7, 40.2, 40.6, 32.1, 40.7, 37.3, 39, 39.2, 36.6, 36, 37.8, 36, 41.5, 46.1, 50, 48.7, 50, 47.6, 46.5, 45.4, 46.7, 43.3, 46.8, 40.9, 49, 45.5, 48.4, 45.8, 49.3, 42, 49.2, 46.2, 48.7, 50.2, 45.1, 46.5, 46.3, 42.9, 46.1, 44.5, 47.8, 48.2, 50, 47.3, 42.8, 45.1, 59.6, 49.1, 48.4, 42.6, 44.4, 44, 48.7, 42.7, 49.6, 45.3, 49.6, 50.5, 43.6, 45.5, 50.5, 44.9, 45.2, 46.6, 48.5, 45.1, 50.1, 46.5, 45, 43.8, 45.5, 43.2, 50.4, 45.3, 46.2, 45.7, 54.3, 45.8, 49.8, 46.2, 49.5, 43.5, 50.7, 47.7, 46.4, 48.2, 46.5, 46.4, 48.6, 47.5, 51.1, 45.2, 45.2, 49.1, 52.5, 47.4, 50, 44.9, 50.8, 43.4, 51.3, 47.5, 52.1, 47.5, 52.2, 45.5, 49.5, 44.5, 50.8, 49.4, 46.9, 48.4, 51.1, 48.5, 55.9, 47.2, 49.1, 47.3, 46.8, 41.7, 53.4, 43.3, 48.1, 50.5, 49.8, 43.5, 51.5, 46.2, 55.1, 44.5, 48.8, 47.2, NA, 46.8, 50.4, 45.2, 49.9, 46.5, 50, 51.3, 45.4, 52.7, 45.2, 46.1, 51.3, 46, 51.3, 46.6, 51.7, 47, 52, 45.9, 50.5, 50.3, 58, 46.4, 49.2, 42.4, 48.5, 43.2, 50.6, 46.7, 52, 50.5, 49.5, 46.4, 52.8, 40.9, 54.2, 42.5, 51, 49.7, 47.5, 47.6, 52, 46.9, 53.5, 49, 46.2, 50.9, 45.5, 50.9, 50.8, 50.1, 49, 51.5, 49.8, 48.1, 51.4, 45.7, 50.7, 42.5, 52.2, 45.2, 49.3, 50.2, 45.6, 51.9, 46.8, 45.7, 55.8, 43.5, 49.6, 50.8, 50.2), bill_depth_mm = c(18.7, 17.4, 18, NA, 19.3, 20.6, 17.8, 19.6, 18.1, 20.2, 17.1, 17.3, 17.6, 21.2, 21.1, 17.8, 19, 20.7, 18.4, 21.5, 18.3, 18.7, 19.2, 18.1, 17.2, 18.9, 18.6, 17.9, 18.6, 18.9, 16.7, 18.1, 17.8, 18.9, 17, 21.1, 20, 18.5, 19.3, 19.1, 18, 18.4, 18.5, 19.7, 16.9, 18.8, 19, 18.9, 17.9, 21.2, 17.7, 18.9, 17.9, 19.5, 18.1, 18.6, 17.5, 18.8, 16.6, 19.1, 16.9, 21.1, 17, 18.2, 17.1, 18, 16.2, 19.1, 16.6, 19.4, 19, 18.4, 17.2, 18.9, 17.5, 18.5, 16.8, 19.4, 16.1, 19.1, 17.2, 17.6, 18.8, 19.4, 17.8, 20.3, 19.5, 18.6, 19.2, 18.8, 18, 18.1, 17.1, 18.1, 17.3, 18.9, 18.6, 18.5, 16.1, 18.5, 17.9, 20, 16, 20, 18.6, 18.9, 17.2, 20, 17, 19, 16.5, 20.3, 17.7, 19.5, 20.7, 18.3, 17, 20.5, 17, 18.6, 17.2, 19.8, 17, 18.5, 15.9, 19, 17.6, 18.3, 17.1, 18, 17.9, 19.2, 18.5, 18.5, 17.6, 17.5, 17.5, 20.1, 16.5, 17.9, 17.1, 17.2, 15.5, 17, 16.8, 18.7, 18.6, 18.4, 17.8, 18.1, 17.1, 18.5, 13.2, 16.3, 14.1, 15.2, 14.5, 13.5, 14.6, 15.3, 13.4, 15.4, 13.7, 16.1, 13.7, 14.6, 14.6, 15.7, 13.5, 15.2, 14.5, 15.1, 14.3, 14.5, 14.5, 15.8, 13.1, 15.1, 14.3, 15, 14.3, 15.3, 15.3, 14.2, 14.5, 17, 14.8, 16.3, 13.7, 17.3, 13.6, 15.7, 13.7, 16, 13.7, 15, 15.9, 13.9, 13.9, 15.9, 13.3, 15.8, 14.2, 14.1, 14.4, 15, 14.4, 15.4, 13.9, 15, 14.5, 15.3, 13.8, 14.9, 13.9, 15.7, 14.2, 16.8, 14.4, 16.2, 14.2, 15, 15, 15.6, 15.6, 14.8, 15, 16, 14.2, 16.3, 13.8, 16.4, 14.5, 15.6, 14.6, 15.9, 13.8, 17.3, 14.4, 14.2, 14, 17, 15, 17.1, 14.5, 16.1, 14.7, 15.7, 15.8, 14.6, 14.4, 16.5, 15, 17, 15.5, 15, 13.8, 16.1, 14.7, 15.8, 14, 15.1, 15.2, 15.9, 15.2, 16.3, 14.1, 16, 15.7, 16.2, 13.7, NA, 14.3, 15.7, 14.8, 16.1, 17.9, 19.5, 19.2, 18.7, 19.8, 17.8, 18.2, 18.2, 18.9, 19.9, 17.8, 20.3, 17.3, 18.1, 17.1, 19.6, 20, 17.8, 18.6, 18.2, 17.3, 17.5, 16.6, 19.4, 17.9, 19, 18.4, 19, 17.8, 20, 16.6, 20.8, 16.7, 18.8, 18.6, 16.8, 18.3, 20.7, 16.6, 19.9, 19.5, 17.5, 19.1, 17, 17.9, 18.5, 17.9, 19.6, 18.7, 17.3, 16.4, 19, 17.3, 19.7, 17.3, 18.8, 16.6, 19.9, 18.8, 19.4, 19.5, 16.5, 17, 19.8, 18.1, 18.2, 19, 18.7), flipper_length_mm = c(181L, 186L, 195L, NA, 193L, 190L, 181L, 195L, 193L, 190L, 186L, 180L, 182L, 191L, 198L, 185L, 195L, 197L, 184L, 194L, 174L, 180L, 189L, 185L, 180L, 187L, 183L, 187L, 172L, 180L, 178L, 178L, 188L, 184L, 195L, 196L, 190L, 180L, 181L, 184L, 182L, 195L, 186L, 196L, 185L, 190L, 182L, 179L, 190L, 191L, 186L, 188L, 190L, 200L, 187L, 191L, 186L, 193L, 181L, 194L, 185L, 195L, 185L, 192L, 184L, 192L, 195L, 188L, 190L, 198L, 190L, 190L, 196L, 197L, 190L, 195L, 191L, 184L, 187L, 195L, 189L, 196L, 187L, 193L, 191L, 194L, 190L, 189L, 189L, 190L, 202L, 205L, 185L, 186L, 187L, 208L, 190L, 196L, 178L, 192L, 192L, 203L, 183L, 190L, 193L, 184L, 199L, 190L, 181L, 197L, 198L, 191L, 193L, 197L, 191L, 196L, 188L, 199L, 189L, 189L, 187L, 198L, 176L, 202L, 186L, 199L, 191L, 195L, 191L, 210L, 190L, 197L, 193L, 199L, 187L, 190L, 191L, 200L, 185L, 193L, 193L, 187L, 188L, 190L, 192L, 185L, 190L, 184L, 195L, 193L, 187L, 201L, 211L, 230L, 210L, 218L, 215L, 210L, 211L, 219L, 209L, 215L, 214L, 216L, 214L, 213L, 210L, 217L, 210L, 221L, 209L, 222L, 218L, 215L, 213L, 215L, 215L, 215L, 216L, 215L, 210L, 220L, 222L, 209L, 207L, 230L, 220L, 220L, 213L, 219L, 208L, 208L, 208L, 225L, 210L, 216L, 222L, 217L, 210L, 225L, 213L, 215L, 210L, 220L, 210L, 225L, 217L, 220L, 208L, 220L, 208L, 224L, 208L, 221L, 214L, 231L, 219L, 230L, 214L, 229L, 220L, 223L, 216L, 221L, 221L, 217L, 216L, 230L, 209L, 220L, 215L, 223L, 212L, 221L, 212L, 224L, 212L, 228L, 218L, 218L, 212L, 230L, 218L, 228L, 212L, 224L, 214L, 226L, 216L, 222L, 203L, 225L, 219L, 228L, 215L, 228L, 216L, 215L, 210L, 219L, 208L, 209L, 216L, 229L, 213L, 230L, 217L, 230L, 217L, 222L, 214L, NA, 215L, 222L, 212L, 213L, 192L, 196L, 193L, 188L, 197L, 198L, 178L, 197L, 195L, 198L, 193L, 194L, 185L, 201L, 190L, 201L, 197L, 181L, 190L, 195L, 181L, 191L, 187L, 193L, 195L, 197L, 200L, 200L, 191L, 205L, 187L, 201L, 187L, 203L, 195L, 199L, 195L, 210L, 192L, 205L, 210L, 187L, 196L, 196L, 196L, 201L, 190L, 212L, 187L, 198L, 199L, 201L, 193L, 203L, 187L, 197L, 191L, 203L, 202L, 194L, 206L, 189L, 195L, 207L, 202L, 193L, 210L, 198L), body_mass_g = c(3750L, 3800L, 3250L, NA, 3450L, 3650L, 3625L, 4675L, 3475L, 4250L, 3300L, 3700L, 3200L, 3800L, 4400L, 3700L, 3450L, 4500L, 3325L, 4200L, 3400L, 3600L, 3800L, 3950L, 3800L, 3800L, 3550L, 3200L, 3150L, 3950L, 3250L, 3900L, 3300L, 3900L, 3325L, 4150L, 3950L, 3550L, 3300L, 4650L, 3150L, 3900L, 3100L, 4400L, 3000L, 4600L, 3425L, 2975L, 3450L, 4150L, 3500L, 4300L, 3450L, 4050L, 2900L, 3700L, 3550L, 3800L, 2850L, 3750L, 3150L, 4400L, 3600L, 4050L, 2850L, 3950L, 3350L, 4100L, 3050L, 4450L, 3600L, 3900L, 3550L, 4150L, 3700L, 4250L, 3700L, 3900L, 3550L, 4000L, 3200L, 4700L, 3800L, 4200L, 3350L, 3550L, 3800L, 3500L, 3950L, 3600L, 3550L, 4300L, 3400L, 4450L, 3300L, 4300L, 3700L, 4350L, 2900L, 4100L, 3725L, 4725L, 3075L, 4250L, 2925L, 3550L, 3750L, 3900L, 3175L, 4775L, 3825L, 4600L, 3200L, 4275L, 3900L, 4075L, 2900L, 3775L, 3350L, 3325L, 3150L, 3500L, 3450L, 3875L, 3050L, 4000L, 3275L, 4300L, 3050L, 4000L, 3325L, 3500L, 3500L, 4475L, 3425L, 3900L, 3175L, 3975L, 3400L, 4250L, 3400L, 3475L, 3050L, 3725L, 3000L, 3650L, 4250L, 3475L, 3450L, 3750L, 3700L, 4000L, 4500L, 5700L, 4450L, 5700L, 5400L, 4550L, 4800L, 5200L, 4400L, 5150L, 4650L, 5550L, 4650L, 5850L, 4200L, 5850L, 4150L, 6300L, 4800L, 5350L, 5700L, 5000L, 4400L, 5050L, 5000L, 5100L, 4100L, 5650L, 4600L, 5550L, 5250L, 4700L, 5050L, 6050L, 5150L, 5400L, 4950L, 5250L, 4350L, 5350L, 3950L, 5700L, 4300L, 4750L, 5550L, 4900L, 4200L, 5400L, 5100L, 5300L, 4850L, 5300L, 4400L, 5000L, 4900L, 5050L, 4300L, 5000L, 4450L, 5550L, 4200L, 5300L, 4400L, 5650L, 4700L, 5700L, 4650L, 5800L, 4700L, 5550L, 4750L, 5000L, 5100L, 5200L, 4700L, 5800L, 4600L, 6000L, 4750L, 5950L, 4625L, 5450L, 4725L, 5350L, 4750L, 5600L, 4600L, 5300L, 4875L, 5550L, 4950L, 5400L, 4750L, 5650L, 4850L, 5200L, 4925L, 4875L, 4625L, 5250L, 4850L, 5600L, 4975L, 5500L, 4725L, 5500L, 4700L, 5500L, 4575L, 5500L, 5000L, 5950L, 4650L, 5500L, 4375L, 5850L, 4875L, 6000L, 4925L, NA, 4850L, 5750L, 5200L, 5400L, 3500L, 3900L, 3650L, 3525L, 3725L, 3950L, 3250L, 3750L, 4150L, 3700L, 3800L, 3775L, 3700L, 4050L, 3575L, 4050L, 3300L, 3700L, 3450L, 4400L, 3600L, 3400L, 2900L, 3800L, 3300L, 4150L, 3400L, 3800L, 3700L, 4550L, 3200L, 4300L, 3350L, 4100L, 3600L, 3900L, 3850L, 4800L, 2700L, 4500L, 3950L, 3650L, 3550L, 3500L, 3675L, 4450L, 3400L, 4300L, 3250L, 3675L, 3325L, 3950L, 3600L, 4050L, 3350L, 3450L, 3250L, 4050L, 3800L, 3525L, 3950L, 3650L, 3650L, 4000L, 3400L, 3775L, 4100L, 3775L), sex = c("male", "female", "female", NA, "female", "male", "female", "male", NA, NA, NA, NA, "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", NA, "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", NA, "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", NA, "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", NA, "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", NA, "male", "female", NA, "female", "male", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "male", "female"), year = c(2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L)))
     3: `[<-`(`*tmp*`, , value = list(`__tiledb_rows` = 1:344, species = c("Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Adelie", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Gentoo", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap", "Chinstrap"), island = c("Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Torgersen", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Biscoe", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream", "Dream"), bill_length_mm = c(39.1, 39.5, 40.3, NA, 36.7, 39.3, 38.9, 39.2, 34.1, 42, 37.8, 37.8, 41.1, 38.6, 34.6, 36.6, 38.7, 42.5, 34.4, 46, 37.8, 37.7, 35.9, 38.2, 38.8, 35.3, 40.6, 40.5, 37.9, 40.5, 39.5, 37.2, 39.5, 40.9, 36.4, 39.2, 38.8, 42.2, 37.6, 39.8, 36.5, 40.8, 36, 44.1, 37, 39.6, 41.1, 37.5, 36, 42.3, 39.6, 40.1, 35, 42, 34.5, 41.4, 39, 40.6, 36.5, 37.6, 35.7, 41.3, 37.6, 41.1, 36.4, 41.6, 35.5, 41.1, 35.9, 41.8, 33.5, 39.7, 39.6, 45.8, 35.5, 42.8, 40.9, 37.2, 36.2, 42.1, 34.6, 42.9, 36.7, 35.1, 37.3, 41.3, 36.3, 36.9, 38.3, 38.9, 35.7, 41.1, 34, 39.6, 36.2, 40.8, 38.1, 40.3, 33.1, 43.2, 35, 41, 37.7, 37.8, 37.9, 39.7, 38.6, 38.2, 38.1, 43.2, 38.1, 45.6, 39.7, 42.2, 39.6, 42.7, 38.6, 37.3, 35.7, 41.1, 36.2, 37.7, 40.2, 41.4, 35.2, 40.6, 38.8, 41.5, 39, 44.1, 38.5, 43.1, 36.8, 37.5, 38.1, 41.1, 35.6, 40.2, 37, 39.7, 40.2, 40.6, 32.1, 40.7, 37.3, 39, 39.2, 36.6, 36, 37.8, 36, 41.5, 46.1, 50, 48.7, 50, 47.6, 46.5, 45.4, 46.7, 43.3, 46.8, 40.9, 49, 45.5, 48.4, 45.8, 49.3, 42, 49.2, 46.2, 48.7, 50.2, 45.1, 46.5, 46.3, 42.9, 46.1, 44.5, 47.8, 48.2, 50, 47.3, 42.8, 45.1, 59.6, 49.1, 48.4, 42.6, 44.4, 44, 48.7, 42.7, 49.6, 45.3, 49.6, 50.5, 43.6, 45.5, 50.5, 44.9, 45.2, 46.6, 48.5, 45.1, 50.1, 46.5, 45, 43.8, 45.5, 43.2, 50.4, 45.3, 46.2, 45.7, 54.3, 45.8, 49.8, 46.2, 49.5, 43.5, 50.7, 47.7, 46.4, 48.2, 46.5, 46.4, 48.6, 47.5, 51.1, 45.2, 45.2, 49.1, 52.5, 47.4, 50, 44.9, 50.8, 43.4, 51.3, 47.5, 52.1, 47.5, 52.2, 45.5, 49.5, 44.5, 50.8, 49.4, 46.9, 48.4, 51.1, 48.5, 55.9, 47.2, 49.1, 47.3, 46.8, 41.7, 53.4, 43.3, 48.1, 50.5, 49.8, 43.5, 51.5, 46.2, 55.1, 44.5, 48.8, 47.2, NA, 46.8, 50.4, 45.2, 49.9, 46.5, 50, 51.3, 45.4, 52.7, 45.2, 46.1, 51.3, 46, 51.3, 46.6, 51.7, 47, 52, 45.9, 50.5, 50.3, 58, 46.4, 49.2, 42.4, 48.5, 43.2, 50.6, 46.7, 52, 50.5, 49.5, 46.4, 52.8, 40.9, 54.2, 42.5, 51, 49.7, 47.5, 47.6, 52, 46.9, 53.5, 49, 46.2, 50.9, 45.5, 50.9, 50.8, 50.1, 49, 51.5, 49.8, 48.1, 51.4, 45.7, 50.7, 42.5, 52.2, 45.2, 49.3, 50.2, 45.6, 51.9, 46.8, 45.7, 55.8, 43.5, 49.6, 50.8, 50.2), bill_depth_mm = c(18.7, 17.4, 18, NA, 19.3, 20.6, 17.8, 19.6, 18.1, 20.2, 17.1, 17.3, 17.6, 21.2, 21.1, 17.8, 19, 20.7, 18.4, 21.5, 18.3, 18.7, 19.2, 18.1, 17.2, 18.9, 18.6, 17.9, 18.6, 18.9, 16.7, 18.1, 17.8, 18.9, 17, 21.1, 20, 18.5, 19.3, 19.1, 18, 18.4, 18.5, 19.7, 16.9, 18.8, 19, 18.9, 17.9, 21.2, 17.7, 18.9, 17.9, 19.5, 18.1, 18.6, 17.5, 18.8, 16.6, 19.1, 16.9, 21.1, 17, 18.2, 17.1, 18, 16.2, 19.1, 16.6, 19.4, 19, 18.4, 17.2, 18.9, 17.5, 18.5, 16.8, 19.4, 16.1, 19.1, 17.2, 17.6, 18.8, 19.4, 17.8, 20.3, 19.5, 18.6, 19.2, 18.8, 18, 18.1, 17.1, 18.1, 17.3, 18.9, 18.6, 18.5, 16.1, 18.5, 17.9, 20, 16, 20, 18.6, 18.9, 17.2, 20, 17, 19, 16.5, 20.3, 17.7, 19.5, 20.7, 18.3, 17, 20.5, 17, 18.6, 17.2, 19.8, 17, 18.5, 15.9, 19, 17.6, 18.3, 17.1, 18, 17.9, 19.2, 18.5, 18.5, 17.6, 17.5, 17.5, 20.1, 16.5, 17.9, 17.1, 17.2, 15.5, 17, 16.8, 18.7, 18.6, 18.4, 17.8, 18.1, 17.1, 18.5, 13.2, 16.3, 14.1, 15.2, 14.5, 13.5, 14.6, 15.3, 13.4, 15.4, 13.7, 16.1, 13.7, 14.6, 14.6, 15.7, 13.5, 15.2, 14.5, 15.1, 14.3, 14.5, 14.5, 15.8, 13.1, 15.1, 14.3, 15, 14.3, 15.3, 15.3, 14.2, 14.5, 17, 14.8, 16.3, 13.7, 17.3, 13.6, 15.7, 13.7, 16, 13.7, 15, 15.9, 13.9, 13.9, 15.9, 13.3, 15.8, 14.2, 14.1, 14.4, 15, 14.4, 15.4, 13.9, 15, 14.5, 15.3, 13.8, 14.9, 13.9, 15.7, 14.2, 16.8, 14.4, 16.2, 14.2, 15, 15, 15.6, 15.6, 14.8, 15, 16, 14.2, 16.3, 13.8, 16.4, 14.5, 15.6, 14.6, 15.9, 13.8, 17.3, 14.4, 14.2, 14, 17, 15, 17.1, 14.5, 16.1, 14.7, 15.7, 15.8, 14.6, 14.4, 16.5, 15, 17, 15.5, 15, 13.8, 16.1, 14.7, 15.8, 14, 15.1, 15.2, 15.9, 15.2, 16.3, 14.1, 16, 15.7, 16.2, 13.7, NA, 14.3, 15.7, 14.8, 16.1, 17.9, 19.5, 19.2, 18.7, 19.8, 17.8, 18.2, 18.2, 18.9, 19.9, 17.8, 20.3, 17.3, 18.1, 17.1, 19.6, 20, 17.8, 18.6, 18.2, 17.3, 17.5, 16.6, 19.4, 17.9, 19, 18.4, 19, 17.8, 20, 16.6, 20.8, 16.7, 18.8, 18.6, 16.8, 18.3, 20.7, 16.6, 19.9, 19.5, 17.5, 19.1, 17, 17.9, 18.5, 17.9, 19.6, 18.7, 17.3, 16.4, 19, 17.3, 19.7, 17.3, 18.8, 16.6, 19.9, 18.8, 19.4, 19.5, 16.5, 17, 19.8, 18.1, 18.2, 19, 18.7), flipper_length_mm = c(181L, 186L, 195L, NA, 193L, 190L, 181L, 195L, 193L, 190L, 186L, 180L, 182L, 191L, 198L, 185L, 195L, 197L, 184L, 194L, 174L, 180L, 189L, 185L, 180L, 187L, 183L, 187L, 172L, 180L, 178L, 178L, 188L, 184L, 195L, 196L, 190L, 180L, 181L, 184L, 182L, 195L, 186L, 196L, 185L, 190L, 182L, 179L, 190L, 191L, 186L, 188L, 190L, 200L, 187L, 191L, 186L, 193L, 181L, 194L, 185L, 195L, 185L, 192L, 184L, 192L, 195L, 188L, 190L, 198L, 190L, 190L, 196L, 197L, 190L, 195L, 191L, 184L, 187L, 195L, 189L, 196L, 187L, 193L, 191L, 194L, 190L, 189L, 189L, 190L, 202L, 205L, 185L, 186L, 187L, 208L, 190L, 196L, 178L, 192L, 192L, 203L, 183L, 190L, 193L, 184L, 199L, 190L, 181L, 197L, 198L, 191L, 193L, 197L, 191L, 196L, 188L, 199L, 189L, 189L, 187L, 198L, 176L, 202L, 186L, 199L, 191L, 195L, 191L, 210L, 190L, 197L, 193L, 199L, 187L, 190L, 191L, 200L, 185L, 193L, 193L, 187L, 188L, 190L, 192L, 185L, 190L, 184L, 195L, 193L, 187L, 201L, 211L, 230L, 210L, 218L, 215L, 210L, 211L, 219L, 209L, 215L, 214L, 216L, 214L, 213L, 210L, 217L, 210L, 221L, 209L, 222L, 218L, 215L, 213L, 215L, 215L, 215L, 216L, 215L, 210L, 220L, 222L, 209L, 207L, 230L, 220L, 220L, 213L, 219L, 208L, 208L, 208L, 225L, 210L, 216L, 222L, 217L, 210L, 225L, 213L, 215L, 210L, 220L, 210L, 225L, 217L, 220L, 208L, 220L, 208L, 224L, 208L, 221L, 214L, 231L, 219L, 230L, 214L, 229L, 220L, 223L, 216L, 221L, 221L, 217L, 216L, 230L, 209L, 220L, 215L, 223L, 212L, 221L, 212L, 224L, 212L, 228L, 218L, 218L, 212L, 230L, 218L, 228L, 212L, 224L, 214L, 226L, 216L, 222L, 203L, 225L, 219L, 228L, 215L, 228L, 216L, 215L, 210L, 219L, 208L, 209L, 216L, 229L, 213L, 230L, 217L, 230L, 217L, 222L, 214L, NA, 215L, 222L, 212L, 213L, 192L, 196L, 193L, 188L, 197L, 198L, 178L, 197L, 195L, 198L, 193L, 194L, 185L, 201L, 190L, 201L, 197L, 181L, 190L, 195L, 181L, 191L, 187L, 193L, 195L, 197L, 200L, 200L, 191L, 205L, 187L, 201L, 187L, 203L, 195L, 199L, 195L, 210L, 192L, 205L, 210L, 187L, 196L, 196L, 196L, 201L, 190L, 212L, 187L, 198L, 199L, 201L, 193L, 203L, 187L, 197L, 191L, 203L, 202L, 194L, 206L, 189L, 195L, 207L, 202L, 193L, 210L, 198L), body_mass_g = c(3750L, 3800L, 3250L, NA, 3450L, 3650L, 3625L, 4675L, 3475L, 4250L, 3300L, 3700L, 3200L, 3800L, 4400L, 3700L, 3450L, 4500L, 3325L, 4200L, 3400L, 3600L, 3800L, 3950L, 3800L, 3800L, 3550L, 3200L, 3150L, 3950L, 3250L, 3900L, 3300L, 3900L, 3325L, 4150L, 3950L, 3550L, 3300L, 4650L, 3150L, 3900L, 3100L, 4400L, 3000L, 4600L, 3425L, 2975L, 3450L, 4150L, 3500L, 4300L, 3450L, 4050L, 2900L, 3700L, 3550L, 3800L, 2850L, 3750L, 3150L, 4400L, 3600L, 4050L, 2850L, 3950L, 3350L, 4100L, 3050L, 4450L, 3600L, 3900L, 3550L, 4150L, 3700L, 4250L, 3700L, 3900L, 3550L, 4000L, 3200L, 4700L, 3800L, 4200L, 3350L, 3550L, 3800L, 3500L, 3950L, 3600L, 3550L, 4300L, 3400L, 4450L, 3300L, 4300L, 3700L, 4350L, 2900L, 4100L, 3725L, 4725L, 3075L, 4250L, 2925L, 3550L, 3750L, 3900L, 3175L, 4775L, 3825L, 4600L, 3200L, 4275L, 3900L, 4075L, 2900L, 3775L, 3350L, 3325L, 3150L, 3500L, 3450L, 3875L, 3050L, 4000L, 3275L, 4300L, 3050L, 4000L, 3325L, 3500L, 3500L, 4475L, 3425L, 3900L, 3175L, 3975L, 3400L, 4250L, 3400L, 3475L, 3050L, 3725L, 3000L, 3650L, 4250L, 3475L, 3450L, 3750L, 3700L, 4000L, 4500L, 5700L, 4450L, 5700L, 5400L, 4550L, 4800L, 5200L, 4400L, 5150L, 4650L, 5550L, 4650L, 5850L, 4200L, 5850L, 4150L, 6300L, 4800L, 5350L, 5700L, 5000L, 4400L, 5050L, 5000L, 5100L, 4100L, 5650L, 4600L, 5550L, 5250L, 4700L, 5050L, 6050L, 5150L, 5400L, 4950L, 5250L, 4350L, 5350L, 3950L, 5700L, 4300L, 4750L, 5550L, 4900L, 4200L, 5400L, 5100L, 5300L, 4850L, 5300L, 4400L, 5000L, 4900L, 5050L, 4300L, 5000L, 4450L, 5550L, 4200L, 5300L, 4400L, 5650L, 4700L, 5700L, 4650L, 5800L, 4700L, 5550L, 4750L, 5000L, 5100L, 5200L, 4700L, 5800L, 4600L, 6000L, 4750L, 5950L, 4625L, 5450L, 4725L, 5350L, 4750L, 5600L, 4600L, 5300L, 4875L, 5550L, 4950L, 5400L, 4750L, 5650L, 4850L, 5200L, 4925L, 4875L, 4625L, 5250L, 4850L, 5600L, 4975L, 5500L, 4725L, 5500L, 4700L, 5500L, 4575L, 5500L, 5000L, 5950L, 4650L, 5500L, 4375L, 5850L, 4875L, 6000L, 4925L, NA, 4850L, 5750L, 5200L, 5400L, 3500L, 3900L, 3650L, 3525L, 3725L, 3950L, 3250L, 3750L, 4150L, 3700L, 3800L, 3775L, 3700L, 4050L, 3575L, 4050L, 3300L, 3700L, 3450L, 4400L, 3600L, 3400L, 2900L, 3800L, 3300L, 4150L, 3400L, 3800L, 3700L, 4550L, 3200L, 4300L, 3350L, 4100L, 3600L, 3900L, 3850L, 4800L, 2700L, 4500L, 3950L, 3650L, 3550L, 3500L, 3675L, 4450L, 3400L, 4300L, 3250L, 3675L, 3325L, 3950L, 3600L, 4050L, 3350L, 3450L, 3250L, 4050L, 3800L, 3525L, 3950L, 3650L, 3650L, 4000L, 3400L, 3775L, 4100L, 3775L), sex = c("male", "female", "female", NA, "female", "male", "female", "male", NA, NA, NA, NA, "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", NA, "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", NA, "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", NA, "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", NA, "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", NA, "male", "female", NA, "female", "male", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "male", "female", "female", "male", "female", "male", "female", "male", "female", "male", "male", "female", "male", "female", "female", "male", "female", "male", "male", "female"), year = c(2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2007L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2008L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L)))
     4: fromDataFrame(dat2, uri, filter = name)
     5: eval(expr, envir = e)
     6: eval(expr, envir = e)
     7: FUN(X[[i]], ...)
     8: lapply(basename(testfiles), run_test_file, at_home = at_home, verbose = verbose, color = color, remove_side_effects = remove_side_effects, ...)
     9: run_test_dir(testdir, at_home = at_home, cluster = cluster, ...)
     10: tinytest::test_package("tiledb")
     An irrecoverable exception occurred. R is aborting now ...
     Illegal instruction
Flavor: r-release-linux-x86_64

Version: 0.13.0
Check: whether package can be installed
Result: ERROR
    Installation failed.
Flavor: r-oldrel-windows-ix86+x86_64