Last updated on 2025-10-05 01:48:34 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.0.4 | 2.30 | 29.19 | 31.49 | ERROR | |
| r-devel-linux-x86_64-debian-gcc | 0.0.4 | 1.60 | 23.19 | 24.79 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 0.0.4 | 45.70 | ERROR | |||
| r-devel-linux-x86_64-fedora-gcc | 0.0.4 | 57.22 | ERROR | |||
| r-devel-windows-x86_64 | 0.0.4 | 5.00 | 115.00 | 120.00 | ERROR | |
| r-patched-linux-x86_64 | 0.0.4 | 2.31 | 27.06 | 29.37 | ERROR | |
| r-release-linux-x86_64 | 0.0.4 | 2.07 | 27.09 | 29.16 | ERROR | |
| r-release-macos-arm64 | 0.0.4 | 192.00 | OK | |||
| r-release-macos-x86_64 | 0.0.4 | 184.00 | OK | |||
| r-release-windows-x86_64 | 0.0.4 | 4.00 | 106.00 | 110.00 | ERROR | |
| r-oldrel-macos-arm64 | 0.0.4 | 239.00 | OK | |||
| r-oldrel-macos-x86_64 | 0.0.4 | 254.00 | OK | |||
| r-oldrel-windows-x86_64 | 0.0.4 | 5.00 | 118.00 | 123.00 | ERROR |
Version: 0.0.4
Check: dependencies in R code
Result: WARN
Missing or unexported object: ‘table1::render.strat.default’
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-windows-x86_64, r-oldrel-windows-x86_64
Version: 0.0.4
Check: tests
Result: ERROR
Running ‘testthat.R’ [3s/54s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> # This file is part of the standard setup for testthat.
> # It is recommended that you do not modify it.
> #
> # Where should you do additional test configuration?
> # Learn more about the roles of various files in:
> # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview
> # * https://testthat.r-lib.org/articles/special-files.html
>
> library(testthat)
> library(lulab.utils)
>
> test_check("lulab.utils")
This function is intended to check wget on Windows.
Please install wget manually on your system.
Testing the download speed of CRAN mirrors...
You can use the following command to set the fastest CRAN mirror:
options(repos = c(CRAN = 'https://mirrors.qlu.edu.cn/CRAN/'))
This function is intended to check wget on Windows.
Please install wget manually on your system.
But we will use the default download method.
This function is intended to check wget on Windows.
Please install wget manually on your system.
[ FAIL 1 | WARN 0 | SKIP 0 | PASS 8 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-Table1.R:12:3'): making Table1 in SCI papers works ─────────────
<getvarError/missingArgError/error/condition>
Error in `render.strat(x, ..., transpose = transpose)`: argument "n" is missing, with no default
Backtrace:
▆
1. └─lulab.utils::Table1(...) at test-Table1.R:12:3
2. ├─table1::table1(...)
3. └─table1:::table1.formula(...)
4. └─table1:::table1.default(...)
5. └─table1:::.table1.internal(...)
6. └─lulab.utils (local) render.strat(x, ..., transpose = transpose)
7. └─base::ifelse(...)
[ FAIL 1 | WARN 0 | SKIP 0 | PASS 8 ]
Error: Test failures
Execution halted
Flavor: r-devel-linux-x86_64-debian-clang
Version: 0.0.4
Check: tests
Result: ERROR
Running ‘testthat.R’ [2s/53s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> # This file is part of the standard setup for testthat.
> # It is recommended that you do not modify it.
> #
> # Where should you do additional test configuration?
> # Learn more about the roles of various files in:
> # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview
> # * https://testthat.r-lib.org/articles/special-files.html
>
> library(testthat)
> library(lulab.utils)
>
> test_check("lulab.utils")
This function is intended to check wget on Windows.
Please install wget manually on your system.
Testing the download speed of CRAN mirrors...
You can use the following command to set the fastest CRAN mirror:
options(repos = c(CRAN = 'https://mirrors.qlu.edu.cn/CRAN/'))
This function is intended to check wget on Windows.
Please install wget manually on your system.
But we will use the default download method.
This function is intended to check wget on Windows.
Please install wget manually on your system.
[ FAIL 1 | WARN 0 | SKIP 0 | PASS 8 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-Table1.R:12:3'): making Table1 in SCI papers works ─────────────
<getvarError/missingArgError/error/condition>
Error in `render.strat(x, ..., transpose = transpose)`: argument "n" is missing, with no default
Backtrace:
▆
1. └─lulab.utils::Table1(...) at test-Table1.R:12:3
2. ├─table1::table1(...)
3. └─table1:::table1.formula(...)
4. └─table1:::table1.default(...)
5. └─table1:::.table1.internal(...)
6. └─lulab.utils (local) render.strat(x, ..., transpose = transpose)
7. └─base::ifelse(...)
[ FAIL 1 | WARN 0 | SKIP 0 | PASS 8 ]
Error: Test failures
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 0.0.4
Check: tests
Result: ERROR
Running ‘testthat.R’ [3s/118s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> # This file is part of the standard setup for testthat.
> # It is recommended that you do not modify it.
> #
> # Where should you do additional test configuration?
> # Learn more about the roles of various files in:
> # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview
> # * https://testthat.r-lib.org/articles/special-files.html
>
> library(testthat)
> library(lulab.utils)
>
> test_check("lulab.utils")
This function is intended to check wget on Windows.
Please install wget manually on your system.
Testing the download speed of CRAN mirrors...
You can use the following command to set the fastest CRAN mirror:
options(repos = c(CRAN = 'https://mirrors.qlu.edu.cn/CRAN/'))
This function is intended to check wget on Windows.
Please install wget manually on your system.
But we will use the default download method.
This function is intended to check wget on Windows.
Please install wget manually on your system.
[ FAIL 1 | WARN 0 | SKIP 0 | PASS 8 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-Table1.R:12:3'): making Table1 in SCI papers works ─────────────
<getvarError/missingArgError/error/condition>
Error in `render.strat(x, ..., transpose = transpose)`: argument "n" is missing, with no default
Backtrace:
▆
1. └─lulab.utils::Table1(...) at test-Table1.R:12:3
2. ├─table1::table1(...)
3. └─table1:::table1.formula(...)
4. └─table1:::table1.default(...)
5. └─table1:::.table1.internal(...)
6. └─lulab.utils (local) render.strat(x, ..., transpose = transpose)
7. └─base::ifelse(...)
[ FAIL 1 | WARN 0 | SKIP 0 | PASS 8 ]
Error: Test failures
Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang
Version: 0.0.4
Check: tests
Result: ERROR
Running ‘testthat.R’ [3s/55s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> # This file is part of the standard setup for testthat.
> # It is recommended that you do not modify it.
> #
> # Where should you do additional test configuration?
> # Learn more about the roles of various files in:
> # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview
> # * https://testthat.r-lib.org/articles/special-files.html
>
> library(testthat)
> library(lulab.utils)
>
> test_check("lulab.utils")
This function is intended to check wget on Windows.
Please install wget manually on your system.
Testing the download speed of CRAN mirrors...
You can use the following command to set the fastest CRAN mirror:
options(repos = c(CRAN = 'https://mirrors.qlu.edu.cn/CRAN/'))
This function is intended to check wget on Windows.
Please install wget manually on your system.
But we will use the default download method.
This function is intended to check wget on Windows.
Please install wget manually on your system.
[ FAIL 1 | WARN 0 | SKIP 0 | PASS 8 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-Table1.R:12:3'): making Table1 in SCI papers works ─────────────
<getvarError/missingArgError/error/condition>
Error in `render.strat(x, ..., transpose = transpose)`: argument "n" is missing, with no default
Backtrace:
▆
1. └─lulab.utils::Table1(...) at test-Table1.R:12:3
2. ├─table1::table1(...)
3. └─table1:::table1.formula(...)
4. └─table1:::table1.default(...)
5. └─table1:::.table1.internal(...)
6. └─lulab.utils (local) render.strat(x, ..., transpose = transpose)
7. └─base::ifelse(...)
[ FAIL 1 | WARN 0 | SKIP 0 | PASS 8 ]
Error: Test failures
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc
Version: 0.0.4
Check: tests
Result: ERROR
Running 'testthat.R' [68s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> # This file is part of the standard setup for testthat.
> # It is recommended that you do not modify it.
> #
> # Where should you do additional test configuration?
> # Learn more about the roles of various files in:
> # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview
> # * https://testthat.r-lib.org/articles/special-files.html
>
> library(testthat)
> library(lulab.utils)
>
> test_check("lulab.utils")
wget is already installed on your system.
Testing the download speed of CRAN mirrors...
You can use the following command to set the fastest CRAN mirror:
options(repos = c(CRAN = 'https://mirrors.qlu.edu.cn/CRAN/'))
wget is already installed on your system.
But we will use the default download method.
wget is already installed on your system.
And we will use wget to download files.
--2025-09-25 12:15:46-- https://eternallybored.org/misc/wget/1.21.4/64/wget.exe
Loaded CA certificate '/usr/ssl/certs/ca-bundle.crt'
Resolving eternallybored.org (eternallybored.org)... 84.255.206.8, 2a01:260:4094:1:42:42:42:42
Connecting to eternallybored.org (eternallybored.org)|84.255.206.8|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 7046072 (6.7M) [application/octet-stream]
Saving to: 'D:\\temp\\2025_09_25_01_50_00_17305\\RtmpQJAFKf\\file52742c202988'
0K .......... .......... .......... .......... .......... 0% 957K 7s
50K .......... .......... .......... .......... .......... 1% 1.89M 5s
100K .......... .......... .......... .......... .......... 2% 21.0M 4s
150K .......... .......... .......... .......... .......... 2% 31.5M 3s
200K .......... .......... .......... .......... .......... 3% 1.98M 3s
250K .......... .......... .......... .......... .......... 4% 23.8M 2s
300K .......... .......... .......... .......... .......... 5% 30.3M 2s
350K .......... .......... .......... .......... .......... 5% 26.3M 2s
400K .......... .......... .......... .......... .......... 6% 2.43M 2s
450K .......... .......... .......... .......... .......... 7% 29.8M 2s
500K .......... .......... .......... .......... .......... 7% 41.2M 2s
550K .......... .......... .......... .......... .......... 8% 36.4M 1s
600K .......... .......... .......... .......... .......... 9% 34.4M 1s
650K .......... .......... .......... .......... .......... 10% 42.8M 1s
700K .......... .......... .......... .......... .......... 10% 35.7M 1s
750K .......... .......... .......... .......... .......... 11% 36.2M 1s
800K .......... .......... .......... .......... .......... 12% 43.2M 1s
850K .......... .......... .......... .......... .......... 13% 3.06M 1s
900K .......... .......... .......... .......... .......... 13% 17.0M 1s
950K .......... .......... .......... .......... .......... 14% 26.6M 1s
1000K .......... .......... .......... .......... .......... 15% 29.4M 1s
1050K .......... .......... .......... .......... .......... 15% 26.7M 1s
1100K .......... .......... .......... .......... .......... 16% 25.2M 1s
1150K .......... .......... .......... .......... .......... 17% 32.6M 1s
1200K .......... .......... .......... .......... .......... 18% 23.1M 1s
1250K .......... .......... .......... .......... .......... 18% 31.1M 1s
1300K .......... .......... .......... .......... .......... 19% 32.4M 1s
1350K .......... .......... .......... .......... .......... 20% 6.17M 1s
1400K .......... .......... .......... .......... .......... 21% 13.6M 1s
1450K .......... .......... .......... .......... .......... 21% 35.4M 1s
1500K .......... .......... .......... .......... .......... 22% 34.2M 1s
1550K .......... .......... .......... .......... .......... 23% 38.2M 1s
1600K .......... .......... .......... .......... .......... 23% 34.4M 1s
1650K .......... .......... .......... .......... .......... 24% 36.9M 1s
1700K .......... .......... .......... .......... .......... 25% 27.1M 1s
1750K .......... .......... .......... .......... .......... 26% 31.9M 1s
1800K .......... .......... .......... .......... .......... 26% 28.8M 1s
1850K .......... .......... .......... .......... .......... 27% 22.1M 1s
1900K .......... .......... .......... .......... .......... 28% 31.8M 1s
1950K .......... .......... .......... .......... .......... 29% 26.8M 0s
2000K .......... .......... .......... .......... .......... 29% 32.2M 0s
2050K .......... .......... .......... .......... .......... 30% 23.5M 0s
2100K .......... .......... .......... .......... .......... 31% 27.3M 0s
2150K .......... .......... .......... .......... .......... 31% 31.0M 0s
2200K .......... .......... .......... .......... .......... 32% 33.0M 0s
2250K .......... .......... .......... .......... .......... 33% 35.5M 0s
2300K .......... .......... .......... .......... .......... 34% 36.7M 0s
2350K .......... .......... .......... .......... .......... 34% 27.9M 0s
2400K .......... .......... .......... .......... .......... 35% 34.7M 0s
2450K .......... .......... .......... .......... .......... 36% 30.6M 0s
2500K .......... .......... .......... .......... .......... 37% 30.0M 0s
2550K .......... .......... .......... .......... .......... 37% 35.3M 0s
2600K .......... .......... .......... .......... .......... 38% 30.2M 0s
2650K .......... .......... .......... .......... .......... 39% 33.6M 0s
2700K .......... .......... .......... .......... .......... 39% 34.1M 0s
2750K .......... .......... .......... .......... .......... 40% 38.4M 0s
2800K .......... .......... .......... .......... .......... 41% 30.1M 0s
2850K .......... .......... .......... .......... .......... 42% 31.1M 0s
2900K .......... .......... .......... .......... .......... 42% 39.2M 0s
2950K .......... .......... .......... .......... .......... 43% 32.5M 0s
3000K .......... .......... .......... .......... .......... 44% 29.6M 0s
3050K .......... .......... .......... .......... .......... 45% 35.1M 0s
3100K .......... .......... .......... .......... .......... 45% 25.6M 0s
3150K .......... .......... .......... .......... .......... 46% 28.6M 0s
3200K .......... .......... .......... .......... .......... 47% 32.2M 0s
3250K .......... .......... .......... .......... .......... 47% 48.8M 0s
3300K .......... .......... .......... .......... .......... 48% 39.5M 0s
3350K .......... .......... .......... .......... .......... 49% 31.5M 0s
3400K .......... .......... .......... .......... .......... 50% 32.0M 0s
3450K .......... .......... .......... .......... .......... 50% 37.5M 0s
3500K .......... .......... .......... .......... .......... 51% 31.6M 0s
3550K .......... .......... .......... .......... .......... 52% 35.3M 0s
3600K .......... .......... .......... .......... .......... 53% 33.0M 0s
3650K .......... .......... .......... .......... .......... 53% 38.9M 0s
3700K .......... .......... .......... .......... .......... 54% 28.8M 0s
3750K .......... .......... .......... .......... .......... 55% 37.0M 0s
3800K .......... .......... .......... .......... .......... 55% 34.6M 0s
3850K .......... .......... .......... .......... .......... 56% 21.5M 0s
3900K .......... .......... .......... .......... .......... 57% 9.57M 0s
3950K .......... .......... .......... .......... .......... 58% 50.0M 0s
4000K .......... .......... .......... .......... .......... 58% 39.0M 0s
4050K .......... .......... .......... .......... .......... 59% 30.6M 0s
4100K .......... .......... .......... .......... .......... 60% 35.8M 0s
4150K .......... .......... .......... .......... .......... 61% 37.5M 0s
4200K .......... .......... .......... .......... .......... 61% 24.3M 0s
4250K .......... .......... .......... .......... .......... 62% 36.4M 0s
4300K .......... .......... .......... .......... .......... 63% 41.6M 0s
4350K .......... .......... .......... .......... .......... 63% 37.9M 0s
4400K .......... .......... .......... .......... .......... 64% 39.2M 0s
4450K .......... .......... .......... .......... .......... 65% 48.9M 0s
4500K .......... .......... .......... .......... .......... 66% 59.7M 0s
4550K .......... .......... .......... .......... .......... 66% 61.9M 0s
4600K .......... .......... .......... .......... .......... 67% 48.3M 0s
4650K .......... .......... .......... .......... .......... 68% 52.9M 0s
4700K .......... .......... .......... .......... .......... 69% 56.6M 0s
4750K .......... .......... .......... .......... .......... 69% 64.3M 0s
4800K .......... .......... .......... .......... .......... 70% 52.1M 0s
4850K .......... .......... .......... .......... .......... 71% 42.1M 0s
4900K .......... .......... .......... .......... .......... 71% 65.0M 0s
4950K .......... .......... .......... .......... .......... 72% 54.4M 0s
5000K .......... .......... .......... .......... .......... 73% 50.5M 0s
5050K .......... .......... .......... .......... .......... 74% 68.0M 0s
5100K .......... .......... .......... .......... .......... 74% 54.8M 0s
5150K .......... .......... .......... .......... .......... 75% 58.6M 0s
5200K .......... .......... .......... .......... .......... 76% 45.5M 0s
5250K .......... .......... .......... .......... .......... 77% 68.0M 0s
5300K .......... .......... .......... .......... .......... 77% 65.9M 0s
5350K .......... .......... .......... .......... .......... 78% 36.7M 0s
5400K .......... .......... .......... .......... .......... 79% 48.2M 0s
5450K .......... .......... .......... .......... .......... 79% 45.0M 0s
5500K .......... .......... .......... .......... .......... 80% 65.0M 0s
5550K .......... .......... .......... .......... .......... 81% 43.4M 0s
5600K .......... .......... .......... .......... .......... 82% 45.1M 0s
5650K .......... .......... .......... .......... .......... 82% 53.8M 0s
5700K .......... .......... .......... .......... .......... 83% 46.7M 0s
5750K .......... .......... .......... .......... .......... 84% 55.7M 0s
5800K .......... .......... .......... .......... .......... 85% 67.6M 0s
5850K .......... .......... .......... .......... .......... 85% 48.5M 0s
5900K .......... .......... .......... .......... .......... 86% 48.2M 0s
5950K .......... .......... .......... .......... .......... 87% 53.3M 0s
6000K .......... .......... .......... .......... .......... 87% 66.8M 0s
6050K .......... .......... .......... .......... .......... 88% 58.1M 0s
6100K .......... .......... .......... .......... .......... 89% 42.4M 0s
6150K .......... .......... .......... .......... .......... 90% 68.4M 0s
6200K .......... .......... .......... .......... .......... 90% 58.7M 0s
6250K .......... .......... .......... .......... .......... 91% 56.9M 0s
6300K .......... .......... .......... .......... .......... 92% 56.6M 0s
6350K .......... .......... .......... .......... .......... 93% 58.5M 0s
6400K .......... .......... .......... .......... .......... 93% 68.5M 0s
6450K .......... .......... .......... .......... .......... 94% 38.9M 0s
6500K .......... .......... .......... .......... .......... 95% 68.2M 0s
6550K .......... .......... .......... .......... .......... 95% 68.7M 0s
6600K .......... .......... .......... .......... .......... 96% 50.5M 0s
6650K .......... .......... .......... .......... .......... 97% 37.4M 0s
6700K .......... .......... .......... .......... .......... 98% 53.3M 0s
6750K .......... .......... .......... .......... .......... 98% 46.7M 0s
6800K .......... .......... .......... .......... .......... 99% 45.6M 0s
6850K .......... .......... .......... 100% 35.0M=0.3s
2025-09-25 12:15:48 (20.6 MB/s) - 'D:\\temp\\2025_09_25_01_50_00_17305\\RtmpQJAFKf\\file52742c202988' saved [7046072/7046072]
[ FAIL 1 | WARN 0 | SKIP 0 | PASS 11 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-Table1.R:12:3'): making Table1 in SCI papers works ─────────────
<getvarError/missingArgError/error/condition>
Error in `render.strat(x, ..., transpose = transpose)`: argument "n" is missing, with no default
Backtrace:
▆
1. └─lulab.utils::Table1(...) at test-Table1.R:12:3
2. ├─table1::table1(...)
3. └─table1:::table1.formula(...)
4. └─table1:::table1.default(...)
5. └─table1:::.table1.internal(...)
6. └─lulab.utils (local) render.strat(x, ..., transpose = transpose)
7. └─base::ifelse(...)
[ FAIL 1 | WARN 0 | SKIP 0 | PASS 11 ]
Error: Test failures
Execution halted
Flavor: r-devel-windows-x86_64
Version: 0.0.4
Check: tests
Result: ERROR
Running ‘testthat.R’ [3s/80s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> # This file is part of the standard setup for testthat.
> # It is recommended that you do not modify it.
> #
> # Where should you do additional test configuration?
> # Learn more about the roles of various files in:
> # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview
> # * https://testthat.r-lib.org/articles/special-files.html
>
> library(testthat)
> library(lulab.utils)
>
> test_check("lulab.utils")
This function is intended to check wget on Windows.
Please install wget manually on your system.
Testing the download speed of CRAN mirrors...
You can use the following command to set the fastest CRAN mirror:
options(repos = c(CRAN = 'https://mirrors.qlu.edu.cn/CRAN/'))
This function is intended to check wget on Windows.
Please install wget manually on your system.
But we will use the default download method.
This function is intended to check wget on Windows.
Please install wget manually on your system.
[ FAIL 1 | WARN 0 | SKIP 0 | PASS 8 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-Table1.R:12:3'): making Table1 in SCI papers works ─────────────
<getvarError/missingArgError/error/condition>
Error in `render.strat(x, ..., transpose = transpose)`: argument "n" is missing, with no default
Backtrace:
▆
1. └─lulab.utils::Table1(...) at test-Table1.R:12:3
2. ├─table1::table1(...)
3. └─table1:::table1.formula(...)
4. └─table1:::table1.default(...)
5. └─table1:::.table1.internal(...)
6. └─lulab.utils (local) render.strat(x, ..., transpose = transpose)
7. └─base::ifelse(...)
[ FAIL 1 | WARN 0 | SKIP 0 | PASS 8 ]
Error: Test failures
Execution halted
Flavors: r-patched-linux-x86_64, r-release-linux-x86_64
Version: 0.0.4
Check: tests
Result: ERROR
Running 'testthat.R' [60s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> # This file is part of the standard setup for testthat.
> # It is recommended that you do not modify it.
> #
> # Where should you do additional test configuration?
> # Learn more about the roles of various files in:
> # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview
> # * https://testthat.r-lib.org/articles/special-files.html
>
> library(testthat)
> library(lulab.utils)
>
> test_check("lulab.utils")
wget is already installed on your system.
Testing the download speed of CRAN mirrors...
You can use the following command to set the fastest CRAN mirror:
options(repos = c(CRAN = 'https://mirrors.qlu.edu.cn/CRAN/'))
wget is already installed on your system.
But we will use the default download method.
wget is already installed on your system.
And we will use wget to download files.
--2025-09-29 10:42:08-- https://eternallybored.org/misc/wget/1.21.4/64/wget.exe
Loaded CA certificate '/usr/ssl/certs/ca-bundle.crt'
Resolving eternallybored.org (eternallybored.org)... 84.255.206.8, 2a01:260:4094:1:42:42:42:42
Connecting to eternallybored.org (eternallybored.org)|84.255.206.8|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 7046072 (6.7M) [application/octet-stream]
Saving to: 'D:\\temp\\2025_09_29_01_50_00_31777\\RtmpCKFFNB\\file2bfe8c462c15'
0K .......... .......... .......... .......... .......... 0% 1.06M 6s
50K .......... .......... .......... .......... .......... 1% 2.18M 5s
100K .......... .......... .......... .......... .......... 2% 19.9M 3s
150K .......... .......... .......... .......... .......... 2% 33.1M 2s
200K .......... .......... .......... .......... .......... 3% 2.24M 3s
250K .......... .......... .......... .......... .......... 4% 29.5M 2s
300K .......... .......... .......... .......... .......... 5% 34.7M 2s
350K .......... .......... .......... .......... .......... 5% 29.6M 2s
400K .......... .......... .......... .......... .......... 6% 2.73M 2s
450K .......... .......... .......... .......... .......... 7% 39.0M 2s
500K .......... .......... .......... .......... .......... 7% 41.5M 1s
550K .......... .......... .......... .......... .......... 8% 44.0M 1s
600K .......... .......... .......... .......... .......... 9% 37.6M 1s
650K .......... .......... .......... .......... .......... 10% 2.63M 1s
700K .......... .......... .......... .......... .......... 10% 22.8M 1s
750K .......... .......... .......... .......... .......... 11% 34.0M 1s
800K .......... .......... .......... .......... .......... 12% 34.7M 1s
850K .......... .......... .......... .......... .......... 13% 41.0M 1s
900K .......... .......... .......... .......... .......... 13% 2.75M 1s
950K .......... .......... .......... .......... .......... 14% 26.8M 1s
1000K .......... .......... .......... .......... .......... 15% 32.9M 1s
1050K .......... .......... .......... .......... .......... 15% 43.0M 1s
1100K .......... .......... .......... .......... .......... 16% 39.0M 1s
1150K .......... .......... .......... .......... .......... 17% 2.78M 1s
1200K .......... .......... .......... .......... .......... 18% 19.9M 1s
1250K .......... .......... .......... .......... .......... 18% 33.7M 1s
1300K .......... .......... .......... .......... .......... 19% 34.0M 1s
1350K .......... .......... .......... .......... .......... 20% 28.6M 1s
1400K .......... .......... .......... .......... .......... 21% 3.03M 1s
1450K .......... .......... .......... .......... .......... 21% 8.92M 1s
1500K .......... .......... .......... .......... .......... 22% 38.7M 1s
1550K .......... .......... .......... .......... .......... 23% 43.1M 1s
1600K .......... .......... .......... .......... .......... 23% 29.4M 1s
1650K .......... .......... .......... .......... .......... 24% 4.58M 1s
1700K .......... .......... .......... .......... .......... 25% 6.87M 1s
1750K .......... .......... .......... .......... .......... 26% 20.1M 1s
1800K .......... .......... .......... .......... .......... 26% 38.6M 1s
1850K .......... .......... .......... .......... .......... 27% 35.2M 1s
1900K .......... .......... .......... .......... .......... 28% 41.5M 1s
1950K .......... .......... .......... .......... .......... 29% 2.61M 1s
2000K .......... .......... .......... .......... .......... 29% 27.7M 1s
2050K .......... .......... .......... .......... .......... 30% 46.3M 1s
2100K .......... .......... .......... .......... .......... 31% 34.7M 1s
2150K .......... .......... .......... .......... .......... 31% 49.4M 1s
2200K .......... .......... .......... .......... .......... 32% 2.59M 1s
2250K .......... .......... .......... .......... .......... 33% 28.8M 1s
2300K .......... .......... .......... .......... .......... 34% 45.2M 1s
2350K .......... .......... .......... .......... .......... 34% 52.8M 1s
2400K .......... .......... .......... .......... .......... 35% 64.1M 1s
2450K .......... .......... .......... .......... .......... 36% 2.61M 1s
2500K .......... .......... .......... .......... .......... 37% 22.7M 1s
2550K .......... .......... .......... .......... .......... 37% 28.5M 1s
2600K .......... .......... .......... .......... .......... 38% 54.2M 1s
2650K .......... .......... .......... .......... .......... 39% 60.9M 0s
2700K .......... .......... .......... .......... .......... 39% 2.87M 0s
2750K .......... .......... .......... .......... .......... 40% 12.1M 0s
2800K .......... .......... .......... .......... .......... 41% 35.0M 0s
2850K .......... .......... .......... .......... .......... 42% 24.9M 0s
2900K .......... .......... .......... .......... .......... 42% 36.2M 0s
2950K .......... .......... .......... .......... .......... 43% 3.22M 0s
3000K .......... .......... .......... .......... .......... 44% 13.9M 0s
3050K .......... .......... .......... .......... .......... 45% 26.5M 0s
3100K .......... .......... .......... .......... .......... 45% 24.4M 0s
3150K .......... .......... .......... .......... .......... 46% 36.5M 0s
3200K .......... .......... .......... .......... .......... 47% 3.33M 0s
3250K .......... .......... .......... .......... .......... 47% 13.5M 0s
3300K .......... .......... .......... .......... .......... 48% 21.1M 0s
3350K .......... .......... .......... .......... .......... 49% 30.0M 0s
3400K .......... .......... .......... .......... .......... 50% 35.7M 0s
3450K .......... .......... .......... .......... .......... 50% 3.16M 0s
3500K .......... .......... .......... .......... .......... 51% 15.1M 0s
3550K .......... .......... .......... .......... .......... 52% 16.6M 0s
3600K .......... .......... .......... .......... .......... 53% 27.0M 0s
3650K .......... .......... .......... .......... .......... 53% 35.1M 0s
3700K .......... .......... .......... .......... .......... 54% 3.69M 0s
3750K .......... .......... .......... .......... .......... 55% 11.3M 0s
3800K .......... .......... .......... .......... .......... 55% 18.0M 0s
3850K .......... .......... .......... .......... .......... 56% 31.1M 0s
3900K .......... .......... .......... .......... .......... 57% 5.54M 0s
3950K .......... .......... .......... .......... .......... 58% 8.19M 0s
4000K .......... .......... .......... .......... .......... 58% 12.0M 0s
4050K .......... .......... .......... .......... .......... 59% 16.7M 0s
4100K .......... .......... .......... .......... .......... 60% 24.2M 0s
4150K .......... .......... .......... .......... .......... 61% 5.47M 0s
4200K .......... .......... .......... .......... .......... 61% 7.55M 0s
4250K .......... .......... .......... .......... .......... 62% 14.1M 0s
4300K .......... .......... .......... .......... .......... 63% 16.4M 0s
4350K .......... .......... .......... .......... .......... 63% 37.3M 0s
4400K .......... .......... .......... .......... .......... 64% 4.01M 0s
4450K .......... .......... .......... .......... .......... 65% 17.5M 0s
4500K .......... .......... .......... .......... .......... 66% 9.80M 0s
4550K .......... .......... .......... .......... .......... 66% 21.2M 0s
4600K .......... .......... .......... .......... .......... 67% 33.4M 0s
4650K .......... .......... .......... .......... .......... 68% 3.98M 0s
4700K .......... .......... .......... .......... .......... 69% 18.4M 0s
4750K .......... .......... .......... .......... .......... 69% 9.83M 0s
4800K .......... .......... .......... .......... .......... 70% 20.3M 0s
4850K .......... .......... .......... .......... .......... 71% 24.9M 0s
4900K .......... .......... .......... .......... .......... 71% 4.30M 0s
4950K .......... .......... .......... .......... .......... 72% 14.8M 0s
5000K .......... .......... .......... .......... .......... 73% 10.4M 0s
5050K .......... .......... .......... .......... .......... 74% 15.6M 0s
5100K .......... .......... .......... .......... .......... 74% 4.40M 0s
5150K .......... .......... .......... .......... .......... 75% 21.7M 0s
5200K .......... .......... .......... .......... .......... 76% 11.4M 0s
5250K .......... .......... .......... .......... .......... 77% 18.9M 0s
5300K .......... .......... .......... .......... .......... 77% 15.7M 0s
5350K .......... .......... .......... .......... .......... 78% 4.11M 0s
5400K .......... .......... .......... .......... .......... 79% 24.7M 0s
5450K .......... .......... .......... .......... .......... 79% 13.2M 0s
5500K .......... .......... .......... .......... .......... 80% 19.6M 0s
5550K .......... .......... .......... .......... .......... 81% 12.8M 0s
5600K .......... .......... .......... .......... .......... 82% 4.14M 0s
5650K .......... .......... .......... .......... .......... 82% 28.3M 0s
5700K .......... .......... .......... .......... .......... 83% 11.4M 0s
5750K .......... .......... .......... .......... .......... 84% 22.0M 0s
5800K .......... .......... .......... .......... .......... 85% 3.69M 0s
5850K .......... .......... .......... .......... .......... 85% 21.6M 0s
5900K .......... .......... .......... .......... .......... 86% 21.3M 0s
5950K .......... .......... .......... .......... .......... 87% 14.5M 0s
6000K .......... .......... .......... .......... .......... 87% 18.9M 0s
6050K .......... .......... .......... .......... .......... 88% 3.69M 0s
6100K .......... .......... .......... .......... .......... 89% 18.0M 0s
6150K .......... .......... .......... .......... .......... 90% 25.3M 0s
6200K .......... .......... .......... .......... .......... 90% 12.9M 0s
6250K .......... .......... .......... .......... .......... 91% 4.21M 0s
6300K .......... .......... .......... .......... .......... 92% 12.1M 0s
6350K .......... .......... .......... .......... .......... 93% 19.2M 0s
6400K .......... .......... .......... .......... .......... 93% 22.1M 0s
6450K .......... .......... .......... .......... .......... 94% 14.7M 0s
6500K .......... .......... .......... .......... .......... 95% 4.25M 0s
6550K .......... .......... .......... .......... .......... 95% 12.3M 0s
6600K .......... .......... .......... .......... .......... 96% 17.9M 0s
6650K .......... .......... .......... .......... .......... 97% 17.7M 0s
6700K .......... .......... .......... .......... .......... 98% 17.0M 0s
6750K .......... .......... .......... .......... .......... 98% 4.24M 0s
6800K .......... .......... .......... .......... .......... 99% 12.3M 0s
6850K .......... .......... .......... 100% 19.8M=0.7s
2025-09-29 10:42:10 (9.20 MB/s) - 'D:\\temp\\2025_09_29_01_50_00_31777\\RtmpCKFFNB\\file2bfe8c462c15' saved [7046072/7046072]
[ FAIL 1 | WARN 0 | SKIP 0 | PASS 11 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-Table1.R:12:3'): making Table1 in SCI papers works ─────────────
<getvarError/missingArgError/error/condition>
Error in `render.strat(x, ..., transpose = transpose)`: argument "n" is missing, with no default
Backtrace:
▆
1. └─lulab.utils::Table1(...) at test-Table1.R:12:3
2. ├─table1::table1(...)
3. └─table1:::table1.formula(...)
4. └─table1:::table1.default(...)
5. └─table1:::.table1.internal(...)
6. └─lulab.utils (local) render.strat(x, ..., transpose = transpose)
7. └─base::ifelse(...)
[ FAIL 1 | WARN 0 | SKIP 0 | PASS 11 ]
Error: Test failures
Execution halted
Flavor: r-release-windows-x86_64
Version: 0.0.4
Check: tests
Result: ERROR
Running 'testthat.R' [67s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> # This file is part of the standard setup for testthat.
> # It is recommended that you do not modify it.
> #
> # Where should you do additional test configuration?
> # Learn more about the roles of various files in:
> # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview
> # * https://testthat.r-lib.org/articles/special-files.html
>
> library(testthat)
> library(lulab.utils)
>
> test_check("lulab.utils")
wget is already installed on your system.
Testing the download speed of CRAN mirrors...
You can use the following command to set the fastest CRAN mirror:
options(repos = c(CRAN = 'https://mirrors.qlu.edu.cn/CRAN/'))
wget is already installed on your system.
But we will use the default download method.
wget is already installed on your system.
And we will use wget to download files.
--2025-10-03 08:14:11-- https://eternallybored.org/misc/wget/1.21.4/64/wget.exe
Loaded CA certificate '/usr/ssl/certs/ca-bundle.crt'
Resolving eternallybored.org (eternallybored.org)... 84.255.206.8, 2a01:260:4094:1:42:42:42:42
Connecting to eternallybored.org (eternallybored.org)|84.255.206.8|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 7046072 (6.7M) [application/octet-stream]
Saving to: 'D:\\temp\\2025_10_03_01_50_00_13482\\RtmpKanVTQ\\file20f3022db150'
0K .......... .......... .......... .......... .......... 0% 1.02M 7s
50K .......... .......... .......... .......... .......... 1% 2.06M 5s
100K .......... .......... .......... .......... .......... 2% 18.3M 3s
150K .......... .......... .......... .......... .......... 2% 30.6M 3s
200K .......... .......... .......... .......... .......... 3% 2.21M 3s
250K .......... .......... .......... .......... .......... 4% 21.1M 2s
300K .......... .......... .......... .......... .......... 5% 30.3M 2s
350K .......... .......... .......... .......... .......... 5% 25.7M 2s
400K .......... .......... .......... .......... .......... 6% 2.59M 2s
450K .......... .......... .......... .......... .......... 7% 15.2M 2s
500K .......... .......... .......... .......... .......... 7% 30.6M 1s
550K .......... .......... .......... .......... .......... 8% 29.5M 1s
600K .......... .......... .......... .......... .......... 9% 20.1M 1s
650K .......... .......... .......... .......... .......... 10% 2.74M 1s
700K .......... .......... .......... .......... .......... 10% 13.5M 1s
750K .......... .......... .......... .......... .......... 11% 23.9M 1s
800K .......... .......... .......... .......... .......... 12% 30.8M 1s
850K .......... .......... .......... .......... .......... 13% 24.6M 1s
900K .......... .......... .......... .......... .......... 13% 4.15M 1s
950K .......... .......... .......... .......... .......... 14% 5.33M 1s
1000K .......... .......... .......... .......... .......... 15% 27.3M 1s
1050K .......... .......... .......... .......... .......... 15% 24.5M 1s
1100K .......... .......... .......... .......... .......... 16% 25.2M 1s
1150K .......... .......... .......... .......... .......... 17% 30.3M 1s
1200K .......... .......... .......... .......... .......... 18% 2.57M 1s
1250K .......... .......... .......... .......... .......... 18% 32.7M 1s
1300K .......... .......... .......... .......... .......... 19% 33.9M 1s
1350K .......... .......... .......... .......... .......... 20% 29.3M 1s
1400K .......... .......... .......... .......... .......... 21% 25.7M 1s
1450K .......... .......... .......... .......... .......... 21% 594K 1s
1500K .......... .......... .......... .......... .......... 22% 24.2M 1s
1550K .......... .......... .......... .......... .......... 23% 30.0M 1s
1600K .......... .......... .......... .......... .......... 23% 26.6M 1s
1650K .......... .......... .......... .......... .......... 24% 31.7M 1s
1700K .......... .......... .......... .......... .......... 25% 2.78M 1s
1750K .......... .......... .......... .......... .......... 26% 41.3M 1s
1800K .......... .......... .......... .......... .......... 26% 28.9M 1s
1850K .......... .......... .......... .......... .......... 27% 30.8M 1s
1900K .......... .......... .......... .......... .......... 28% 29.1M 1s
1950K .......... .......... .......... .......... .......... 29% 2.71M 1s
2000K .......... .......... .......... .......... .......... 29% 26.2M 1s
2050K .......... .......... .......... .......... .......... 30% 20.3M 1s
2100K .......... .......... .......... .......... .......... 31% 25.7M 1s
2150K .......... .......... .......... .......... .......... 31% 26.3M 1s
2200K .......... .......... .......... .......... .......... 32% 22.2M 1s
2250K .......... .......... .......... .......... .......... 33% 3.08M 1s
2300K .......... .......... .......... .......... .......... 34% 13.6M 1s
2350K .......... .......... .......... .......... .......... 34% 24.6M 1s
2400K .......... .......... .......... .......... .......... 35% 31.2M 1s
2450K .......... .......... .......... .......... .......... 36% 24.9M 1s
2500K .......... .......... .......... .......... .......... 37% 3.10M 1s
2550K .......... .......... .......... .......... .......... 37% 14.9M 1s
2600K .......... .......... .......... .......... .......... 38% 27.1M 1s
2650K .......... .......... .......... .......... .......... 39% 36.9M 1s
2700K .......... .......... .......... .......... .......... 39% 25.3M 1s
2750K .......... .......... .......... .......... .......... 40% 2.82M 1s
2800K .......... .......... .......... .......... .......... 41% 18.5M 1s
2850K .......... .......... .......... .......... .......... 42% 20.9M 1s
2900K .......... .......... .......... .......... .......... 42% 30.5M 1s
2950K .......... .......... .......... .......... .......... 43% 18.4M 1s
3000K .......... .......... .......... .......... .......... 44% 3.12M 1s
3050K .......... .......... .......... .......... .......... 45% 23.0M 1s
3100K .......... .......... .......... .......... .......... 45% 16.3M 1s
3150K .......... .......... .......... .......... .......... 46% 12.6M 1s
3200K .......... .......... .......... .......... .......... 47% 26.8M 1s
3250K .......... .......... .......... .......... .......... 47% 3.17M 1s
3300K .......... .......... .......... .......... .......... 48% 30.7M 1s
3350K .......... .......... .......... .......... .......... 49% 27.4M 0s
3400K .......... .......... .......... .......... .......... 50% 11.3M 0s
3450K .......... .......... .......... .......... .......... 50% 5.49M 0s
3500K .......... .......... .......... .......... .......... 51% 6.66M 0s
3550K .......... .......... .......... .......... .......... 52% 17.3M 0s
3600K .......... .......... .......... .......... .......... 53% 24.4M 0s
3650K .......... .......... .......... .......... .......... 53% 13.7M 0s
3700K .......... .......... .......... .......... .......... 54% 4.90M 0s
3750K .......... .......... .......... .......... .......... 55% 12.8M 0s
3800K .......... .......... .......... .......... .......... 55% 8.04M 0s
3850K .......... .......... .......... .......... .......... 56% 20.5M 0s
3900K .......... .......... .......... .......... .......... 57% 20.1M 0s
3950K .......... .......... .......... .......... .......... 58% 4.74M 0s
4000K .......... .......... .......... .......... .......... 58% 12.9M 0s
4050K .......... .......... .......... .......... .......... 59% 8.14M 0s
4100K .......... .......... .......... .......... .......... 60% 22.9M 0s
4150K .......... .......... .......... .......... .......... 61% 5.08M 0s
4200K .......... .......... .......... .......... .......... 61% 13.8M 0s
4250K .......... .......... .......... .......... .......... 62% 11.1M 0s
4300K .......... .......... .......... .......... .......... 63% 6.16M 0s
4350K .......... .......... .......... .......... .......... 63% 18.9M 0s
4400K .......... .......... .......... .......... .......... 64% 7.24M 0s
4450K .......... .......... .......... .......... .......... 65% 13.0M 0s
4500K .......... .......... .......... .......... .......... 66% 13.8M 0s
4550K .......... .......... .......... .......... .......... 66% 5.74M 0s
4600K .......... .......... .......... .......... .......... 67% 26.1M 0s
4650K .......... .......... .......... .......... .......... 68% 7.49M 0s
4700K .......... .......... .......... .......... .......... 69% 9.06M 0s
4750K .......... .......... .......... .......... .......... 69% 22.4M 0s
4800K .......... .......... .......... .......... .......... 70% 6.04M 0s
4850K .......... .......... .......... .......... .......... 71% 5.70M 0s
4900K .......... .......... .......... .......... .......... 71% 31.1M 0s
4950K .......... .......... .......... .......... .......... 72% 11.6M 0s
5000K .......... .......... .......... .......... .......... 73% 27.4M 0s
5050K .......... .......... .......... .......... .......... 74% 5.52M 0s
5100K .......... .......... .......... .......... .......... 74% 5.37M 0s
5150K .......... .......... .......... .......... .......... 75% 19.5M 0s
5200K .......... .......... .......... .......... .......... 76% 16.6M 0s
5250K .......... .......... .......... .......... .......... 77% 15.9M 0s
5300K .......... .......... .......... .......... .......... 77% 7.60M 0s
5350K .......... .......... .......... .......... .......... 78% 4.37M 0s
5400K .......... .......... .......... .......... .......... 79% 32.6M 0s
5450K .......... .......... .......... .......... .......... 79% 16.1M 0s
5500K .......... .......... .......... .......... .......... 80% 14.6M 0s
5550K .......... .......... .......... .......... .......... 81% 9.32M 0s
5600K .......... .......... .......... .......... .......... 82% 4.38M 0s
5650K .......... .......... .......... .......... .......... 82% 30.2M 0s
5700K .......... .......... .......... .......... .......... 83% 11.9M 0s
5750K .......... .......... .......... .......... .......... 84% 20.9M 0s
5800K .......... .......... .......... .......... .......... 85% 3.29M 0s
5850K .......... .......... .......... .......... .......... 85% 19.9M 0s
5900K .......... .......... .......... .......... .......... 86% 29.1M 0s
5950K .......... .......... .......... .......... .......... 87% 10.8M 0s
6000K .......... .......... .......... .......... .......... 87% 29.0M 0s
6050K .......... .......... .......... .......... .......... 88% 3.36M 0s
6100K .......... .......... .......... .......... .......... 89% 14.5M 0s
6150K .......... .......... .......... .......... .......... 90% 29.7M 0s
6200K .......... .......... .......... .......... .......... 90% 11.2M 0s
6250K .......... .......... .......... .......... .......... 91% 16.6M 0s
6300K .......... .......... .......... .......... .......... 92% 4.28M 0s
6350K .......... .......... .......... .......... .......... 93% 14.7M 0s
6400K .......... .......... .......... .......... .......... 93% 13.0M 0s
6450K .......... .......... .......... .......... .......... 94% 13.4M 0s
6500K .......... .......... .......... .......... .......... 95% 20.9M 0s
6550K .......... .......... .......... .......... .......... 95% 3.84M 0s
6600K .......... .......... .......... .......... .......... 96% 11.4M 0s
6650K .......... .......... .......... .......... .......... 97% 32.0M 0s
6700K .......... .......... .......... .......... .......... 98% 13.1M 0s
6750K .......... .......... .......... .......... .......... 98% 24.1M 0s
6800K .......... .......... .......... .......... .......... 99% 3.74M 0s
6850K .......... .......... .......... 100% 10.2M=0.8s
2025-10-03 08:14:12 (8.04 MB/s) - 'D:\\temp\\2025_10_03_01_50_00_13482\\RtmpKanVTQ\\file20f3022db150' saved [7046072/7046072]
[ FAIL 1 | WARN 0 | SKIP 0 | PASS 11 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-Table1.R:12:3'): making Table1 in SCI papers works ─────────────
Error in `render.strat(x, ..., transpose = transpose)`: argument "n" is missing, with no default
Backtrace:
▆
1. └─lulab.utils::Table1(...) at test-Table1.R:12:3
2. ├─table1::table1(...)
3. └─table1:::table1.formula(...)
4. └─table1:::table1.default(...)
5. └─table1:::.table1.internal(...)
6. └─lulab.utils (local) render.strat(x, ..., transpose = transpose)
7. └─base::ifelse(...)
[ FAIL 1 | WARN 0 | SKIP 0 | PASS 11 ]
Error: Test failures
Execution halted
Flavor: r-oldrel-windows-x86_64