使用write.csv时防止将行名称写入文件

命令：

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

如何防止将具有行索引的第一列写入文件

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

从

？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.

---

为完整起见，包中的

write_csv（）

更快，而且从不写入行名称

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

如果需要写出大数据，请使用软件包中的

fwrite（）

。它比

write.csv

和

write\u csv

# 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一篇文章

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

---

我很惭愧，因为我确实尝试过？write.csv但是。。。Thx aix！是的，诀窍是要理解这个列代表行名。也许应该重命名它。

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