在特定数据集上调用“write.table"时崩溃 R [英] Crashing R when calling `write.table` on particular data set

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问题描述

以下内容始终使我的 R 会话崩溃.
在两台机器上测试,Ubuntu 和 Mac OS X,两者的结果相似.

The following consistently crashes my R session.
Tested on two machines, Ubuntu and Mac OS X with similar results on both.

简要说明:
在具有所有 NA 的因子列的 data.frame 上调用 write.table.

原始数据集相当大,我设法隔离了有问题的列,然后创建了一个类似的向量,在下面命名为 PROBLEM_DATA,这会导致同样的崩溃.

The original data set is rather large, and I've managed to isolate the offending column and then create a similar vector, named PROBLEM_DATA below, which causes the same crash.

有趣的是,有时 R 会直接崩溃,有时它只是抛出以下错误:

Interestingly, sometimes R crashes outright, othertimes it simply throws the following error:

Error in write.table(x, file, nrow(x), p, rnames, sep, eol, na, dec, as.integer(quote),  : 
  'getCharCE' must be called on a CHARSXP

关于崩溃原因的任何想法还是应该将其作为错误提交?

违规数据和调用:

Any thoughts as to the cause of the crash or should it be submitted as a bug?

Offending data and call:

PROBLEM_DATA <- structure(114:116, .Label = c("String1", "String2", "String3", "String4", "String5", "String6", 
                   "String7", "String8", "String9", "String10", "String11", "String12", "String13", "String14", "String15"), class = "factor")

# This will cause a crash
write.table(PROBLEM_DATA, file=path.expand("~/test.csv"))

# This will also crash
write.table(PROBLEM_DATA, file=path.expand("~/test.csv"), fileEncoding="UTF-8")

每台机器的会话信息

UBUNTU

R version 2.15.3 (2013-03-01)
Platform: x86_64-pc-linux-gnu (64-bit)

locale:
 [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C         LC_TIME=C            LC_COLLATE=C        
 [5] LC_MONETARY=C        LC_MESSAGES=C        LC_PAPER=C           LC_NAME=C           
 [9] LC_ADDRESS=C         LC_TELEPHONE=C       LC_MEASUREMENT=C     LC_IDENTIFICATION=C 

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
[1] gdata_2.12.0     ggplot2_0.9.3    stringr_0.6.1    RMySQL_0.9-3     DBI_0.2-5       
[6] data.table_1.8.8

loaded via a namespace (and not attached):
 [1] MASS_7.3-23        RColorBrewer_1.0-5 colorspace_1.2-0   dichromat_1.2-4   
 [5] digest_0.5.2       grid_2.15.3        gtable_0.1.1       gtools_2.7.0      
 [9] labeling_0.1       munsell_0.4        plyr_1.7.1         proto_0.3-9.2     
[13] reshape2_1.2.1     scales_0.2.3       tools_2.15.3

Mac OS X

R version 2.15.3 (2013-03-01)
Platform: x86_64-apple-darwin9.8.0/x86_64 (64-bit)

locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

推荐答案

这是一个很好的可重现错误,应报告给 R-devel 或使用 bug.report().FWIW 上

This is a nice reproducible bug and should be reported to R-devel or using bug.report(). FWIW on

> sessionInfo()
R version 3.0.0 Patched (2013-04-03 r62485)
Platform: x86_64-unknown-linux-gnu (64-bit)

如果在 Linux 上我用 CFLAGS="-g -O0" 配置 R,我可以

If on Linux I configure R with CFLAGS="-g -O0" I can

R -d gdb
(gdb) break Rf_error
(gdb) run

然后在上面粘贴你的行并结束

then paste your lines above and end up at

> write.table(PROBLEM_DATA, file=path.expand("~/test.csv"))

Breakpoint 1, Rf_error (format=0x7ffff7a8f0f0 "'%s' must be called on a CHARSXP") at /home/mtmorgan/src/R-3-0-branch/src/main/errors.c:753
753     RCNTXT *c = R_GlobalContext;
(gdb) up 3
#3  0x00007ffff1b9bfb3 in EncodeElement2 (x=0x31ccf50, indx=113, quote=TRUE, qmethod=TRUE, buff=0x7fffffffbdc0, cdec=46 '.')
    at /home/mtmorgan/src/R-3-0-branch/src/library/utils/src/io.c:938
938     p0 = translateChar(STRING_ELT(x, indx));
(gdb) call Rf_PrintValue(x)
 [1] "String1"  "String2"  "String3"  "String4"  "String5"  "String6" 
 [7] "String7"  "String8"  "String9"  "String10" "String11" "String12"
[13] "String13" "String14" "String15"
(gdb) p indx
$1 = 113

这表明 R 试图打印出因子名称的第 114 个元素 - 显然事情出错了,因为该因子具有超出其级别长度的整数值.

which shows R trying to print out the 114th element of the factor names -- clearly things have gone wrong because the factor has integer values beyond the length of its levels.

这篇关于在特定数据集上调用“write.table"时崩溃 R的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

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