使用 write.csv 时防止将行名写入文件

命令:

t <- data.frame(v = 5:1, v2 = 9:5)
write.csv(t, "t.csv")

结果档案:

# "","v","v2"
# "1",5,9
# "2",4,8
# "3",3,7
# "4",2,6
# "5",1,5

如何防止向文件中写入第一列的行索引?

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write.csv(t, "t.csv", row.names=FALSE)

来自 ?write.csv:

row.names: either a logical value indicating whether the row names of
‘x’ are to be written along with ‘x’, or a character vector
of row names to be written.

为了完整起见,readr包中的 write_csv()速度更快,而且从不写行名

# install.packages('readr', dependencies = TRUE)
library(readr)
write_csv(t, "t.csv")

如果需要写出大数据,请使用 data.table包中的 fwrite()。它比 write.csvwrite_csv都快得多

# install.packages('data.table')
library(data.table)
fwrite(t, "t.csv")

下面是爱德华在他的网站上发表的 基准

microbenchmark(write.csv(data, "baseR_file.csv", row.names = F),
write_csv(data, "readr_file.csv"),
fwrite(data, "datatable_file.csv"),
times = 10, unit = "s")


## Unit: seconds
##                                              expr        min         lq       mean     median         uq        max neval
##  write.csv(data, "baseR_file.csv", row.names = F) 13.8066424 13.8248250 13.9118324 13.8776993 13.9269675 14.3241311    10
##                 write_csv(data, "readr_file.csv")  3.6742610  3.7999409  3.8572456  3.8690681  3.8991995  4.0637453    10
##                fwrite(data, "datatable_file.csv")  0.3976728  0.4014872  0.4097876  0.4061506  0.4159007  0.4355469    10