Last updated on 2025-03-06 01:51:07 CET.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 4.5.2 | 37.82 | 97.21 | 135.03 | OK | |
| r-devel-linux-x86_64-debian-gcc | 4.5.2 | 31.37 | 65.61 | 96.98 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 4.5.2 | 211.59 | OK | |||
| r-devel-linux-x86_64-fedora-gcc | 4.5.2 | 225.89 | OK | |||
| r-devel-macos-arm64 | 4.5.2 | 62.00 | OK | |||
| r-devel-macos-x86_64 | 4.5.2 | 144.00 | OK | |||
| r-devel-windows-x86_64 | 4.5.2 | 52.00 | 128.00 | 180.00 | OK | |
| r-patched-linux-x86_64 | 4.5.2 | OK | ||||
| r-release-linux-x86_64 | 4.5.2 | 42.61 | 90.28 | 132.89 | OK | |
| r-release-macos-arm64 | 4.5.2 | 62.00 | OK | |||
| r-release-macos-x86_64 | 4.5.2 | 127.00 | OK | |||
| r-release-windows-x86_64 | 4.5.2 | 55.00 | 122.00 | 177.00 | OK | |
| r-oldrel-macos-arm64 | 4.5.2 | OK | ||||
| r-oldrel-macos-x86_64 | 4.5.2 | 130.00 | OK | |||
| r-oldrel-windows-x86_64 | 4.5.2 | 50.00 | 171.00 | 221.00 | OK |
Version: 4.5.2
Check: examples
Result: ERROR
Running examples in ‘ff-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: read.table.ffdf
> ### Title: Importing csv files into ff data.frames
> ### Aliases: read.table.ffdf read.csv.ffdf read.csv2.ffdf read.delim.ffdf
> ### read.delim2.ffdf
> ### Keywords: IO file connection
>
> ### ** Examples
>
> message("create some csv data on disk")
create some csv data on disk
> x <- data.frame(
+ log=rep(c(FALSE, TRUE), length.out=26)
+ , int=1:26
+ , dbl=1:26 + 0.1
+ , fac=factor(letters)
+ , ord=ordered(LETTERS)
+ , dct=Sys.time()+1:26
+ , dat=seq(as.Date("1910/1/1"), length.out=26, by=1)
+ , stringsAsFactors = TRUE
+ )
> x <- x[c(13:1, 13:1),]
> csvfile <- tempPathFile(path=getOption("fftempdir"), extension="csv")
> write.csv(x, file=csvfile, row.names=FALSE)
>
> cat("Simply read csv with header\n")
Simply read csv with header
> y <- read.csv(file=csvfile, header=TRUE)
> y
log int dbl fac ord dct dat
1 FALSE 13 13.1 m M 2025-03-05 15:32:25.954253 1910-01-13
2 TRUE 12 12.1 l L 2025-03-05 15:32:24.954253 1910-01-12
3 FALSE 11 11.1 k K 2025-03-05 15:32:23.954253 1910-01-11
4 TRUE 10 10.1 j J 2025-03-05 15:32:22.954253 1910-01-10
5 FALSE 9 9.1 i I 2025-03-05 15:32:21.954253 1910-01-09
6 TRUE 8 8.1 h H 2025-03-05 15:32:20.954253 1910-01-08
7 FALSE 7 7.1 g G 2025-03-05 15:32:19.954253 1910-01-07
8 TRUE 6 6.1 f F 2025-03-05 15:32:18.954253 1910-01-06
9 FALSE 5 5.1 e E 2025-03-05 15:32:17.954253 1910-01-05
10 TRUE 4 4.1 d D 2025-03-05 15:32:16.954253 1910-01-04
11 FALSE 3 3.1 c C 2025-03-05 15:32:15.954253 1910-01-03
12 TRUE 2 2.1 b B 2025-03-05 15:32:14.954253 1910-01-02
13 FALSE 1 1.1 a A 2025-03-05 15:32:13.954253 1910-01-01
14 FALSE 13 13.1 m M 2025-03-05 15:32:25.954253 1910-01-13
15 TRUE 12 12.1 l L 2025-03-05 15:32:24.954253 1910-01-12
16 FALSE 11 11.1 k K 2025-03-05 15:32:23.954253 1910-01-11
17 TRUE 10 10.1 j J 2025-03-05 15:32:22.954253 1910-01-10
18 FALSE 9 9.1 i I 2025-03-05 15:32:21.954253 1910-01-09
19 TRUE 8 8.1 h H 2025-03-05 15:32:20.954253 1910-01-08
20 FALSE 7 7.1 g G 2025-03-05 15:32:19.954253 1910-01-07
21 TRUE 6 6.1 f F 2025-03-05 15:32:18.954253 1910-01-06
22 FALSE 5 5.1 e E 2025-03-05 15:32:17.954253 1910-01-05
23 TRUE 4 4.1 d D 2025-03-05 15:32:16.954253 1910-01-04
24 FALSE 3 3.1 c C 2025-03-05 15:32:15.954253 1910-01-03
25 TRUE 2 2.1 b B 2025-03-05 15:32:14.954253 1910-01-02
26 FALSE 1 1.1 a A 2025-03-05 15:32:13.954253 1910-01-01
> cat("Read csv with header\n")
Read csv with header
> ffy <- read.csv.ffdf(file=csvfile, header=TRUE)
> ffy
ffdf (all open) dim=c(26,7), dimorder=c(1,2) row.names=NULL
ffdf virtual mapping
PhysicalName VirtualVmode PhysicalVmode AsIs VirtualIsMatrix
log log integer integer FALSE FALSE
int int integer integer FALSE FALSE
dbl dbl double double FALSE FALSE
fac fac integer integer FALSE FALSE
ord ord integer integer FALSE FALSE
dct dct integer integer FALSE FALSE
dat dat integer integer FALSE FALSE
PhysicalIsMatrix PhysicalElementNo PhysicalFirstCol PhysicalLastCol
log FALSE 1 1 1
int FALSE 2 1 1
dbl FALSE 3 1 1
fac FALSE 4 1 1
ord FALSE 5 1 1
dct FALSE 6 1 1
dat FALSE 7 1 1
PhysicalIsOpen
log TRUE
int TRUE
dbl TRUE
fac TRUE
ord TRUE
dct TRUE
dat TRUE
ffdf data
log int
1 FALSE 13
2 TRUE 12
3 FALSE 11
4 TRUE 10
5 FALSE 9
6 TRUE 8
7 FALSE 7
8 TRUE 6
: : :
19 TRUE 8
20 FALSE 7
21 TRUE 6
22 FALSE 5
23 TRUE 4
24 FALSE 3
25 TRUE 2
26 FALSE 1
dbl fac
1 13.1 m
2 12.1 l
3 11.1 k
4 10.1 j
5 9.1 i
6 8.1 h
7 7.1 g
8 6.1 f
: : :
19 8.1 h
20 7.1 g
21 6.1 f
22 5.1 e
23 4.1 d
24 3.1 c
25 2.1 b
26 1.1 a
ord dct
1 M 2025-03-05 15:32:25.954253
2 L 2025-03-05 15:32:24.954253
3 K 2025-03-05 15:32:23.954253
4 J 2025-03-05 15:32:22.954253
5 I 2025-03-05 15:32:21.954253
6 H 2025-03-05 15:32:20.954253
7 G 2025-03-05 15:32:19.954253
8 F 2025-03-05 15:32:18.954253
: : :
19 H 2025-03-05 15:32:20.954253
20 G 2025-03-05 15:32:19.954253
21 F 2025-03-05 15:32:18.954253
22 E 2025-03-05 15:32:17.954253
23 D 2025-03-05 15:32:16.954253
24 C 2025-03-05 15:32:15.954253
25 B 2025-03-05 15:32:14.954253
26 A 2025-03-05 15:32:13.954253
dat
1 1910-01-13
2 1910-01-12
3 1910-01-11
4 1910-01-10
5 1910-01-09
6 1910-01-08
7 1910-01-07
8 1910-01-06
: :
19 1910-01-08
20 1910-01-07
21 1910-01-06
22 1910-01-05
23 1910-01-04
24 1910-01-03
25 1910-01-02
26 1910-01-01
> sapply(ffy[,], class)
log int dbl fac ord dct dat
"factor" "integer" "numeric" "factor" "factor" "factor" "factor"
>
> message("reading with colClasses (an ordered factor wont'work in read.csv)")
reading with colClasses (an ordered factor wont'work in read.csv)
> try(read.csv(file=csvfile, header=TRUE, colClasses=c(ord="ordered")
+ , stringsAsFactors = TRUE))
Error in methods::as(data[[i]], colClasses[i]) :
no method or default for coercing “character” to “ordered”
> # TODO could fix this with the following two commands (Gabor Grothendieck)
> # but does not know what bad side-effects this could have
> #setOldClass("ordered")
> #setAs("character", "ordered", function(from) ordered(from))
> y <- read.csv(file=csvfile, header=TRUE, colClasses=c(dct="POSIXct", dat="Date")
+ , stringsAsFactors = TRUE)
> ffy <- read.csv.ffdf(
+ file=csvfile
+ , header=TRUE
+ , colClasses=c(ord="ordered", dct="POSIXct", dat="Date")
+ )
> rbind(
+ ram_class = sapply(y, function(x)paste(class(x), collapse = ","))
+ , ff_class = sapply(ffy[,], function(x)paste(class(x), collapse = ","))
+ , ff_vmode = vmode(ffy)
+ )
log int dbl fac ord
ram_class "factor" "integer" "numeric" "factor" "factor"
ff_class "factor" "integer" "numeric" "factor" "ordered,factor"
ff_vmode "integer" "integer" "double" "integer" "integer"
dct dat
ram_class "POSIXct,POSIXt" "Date"
ff_class "POSIXct,POSIXt" "Date"
ff_vmode "double" "double"
>
> message("NOTE that reading in chunks can change the sequence of levels and thus the coding")
NOTE that reading in chunks can change the sequence of levels and thus the coding
> message("(Sorting levels during chunked reading can be too expensive)")
(Sorting levels during chunked reading can be too expensive)
> levels(ffy$fac[])
[1] "a" "b" "c" "d" "e" "f" "g" "h" "i" "j" "k" "l" "m"
> ffy <- read.csv.ffdf(
+ file=csvfile
+ , header=TRUE
+ , colClasses=c(ord="ordered", dct="POSIXct", dat="Date")
+ , first.rows=6
+ , next.rows=10
+ , VERBOSE=TRUE
+ )
read.table.ffdf 1..6 (6) csv-read=0.001sec ffdf-write=0.011sec
read.table.ffdf 7..16 (10) csv-read=0.001sec ffdf-write=0.006sec
read.table.ffdf 17..26 (10) csv-read=0.001secError in UseMethod("recodeLevels") :
no applicable method for 'recodeLevels' applied to an object of class "logical"
Calls: read.csv.ffdf -> read.table.ffdf -> recodeLevels
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc