我正在尝试用R中的空格("")替换单元格,但由于某种原因它无效。我的矢量是这样的:
[1] "SICREDI N/NE" "SICOOB CREDIMINAS" "UNICRED SC/PR"
[4] " " " " "CRESOL SC/RS"
我尝试使用CENTRAL<-gsub("\\\b \\\b", NA,CENTRAL)
但后来又回来了:
[1] NA NA NA NA NA
[6] "CRESOL SC/RS" NA NA NA NA
答案 0 :(得分:4)
你的单词中有空格,所以gsub插入一个NA,导致整个条目中的NA值。你可以这样做:
vec <- c("words with spaces", "word with spaces", " ", " ", "not", "here")
vec
[1] "words with spaces"
[2] "word with spaces"
[3] " "
[4] " "
[5] "not"
[6] "here"
vec[vec==" "]
[1] " " " "
vec[vec==" "] <- NA
vec
[1] "words with spaces"
[2] "word with spaces"
[3] NA
[4] NA
[5] "not"
[6] "here"
答案 1 :(得分:2)
更快的方法可能是(加布里埃尔打败了我):
x <- c("SICREDI N/NE", "SICOOB CREDIMINAS", "UNICRED SC/PR",
" ", " ", "CRESOL SC/RS")
x[x == " "] <- NA
你正在用正则表达式做什么,但速度相当慢(以毫秒为单位测量超过40,000个元素)
x <- rep(c("SICREDI N/NE", "SICOOB CREDIMINAS", "UNICRED SC/PR",
" ", " ", "CRESOL SC/RS"), 10000)
y <- rep(c("SICREDI N/NE", "SICOOB CREDIMINAS", "UNICRED SC/PR",
" ", " ", "CRESOL SC/RS"), 10000)
z <- rep(c("SICREDI N/NE", "SICOOB CREDIMINAS", "UNICRED SC/PR",
" ", " ", "CRESOL SC/RS"), 10000)
library(microbenchmark)
microbenchmark(
first = {x[x == " "] <- NA},
second = {y[grepl("^\\b \\b$", y)] <- NA},
sub = gsub("^\\b \\b$", NA, z)
)
Unit: milliseconds
expr min lq mean median uq max neval cld
first 1.223415 1.231626 1.367973 1.235438 1.247461 2.896081 100 a
second 5.633810 5.681902 5.929447 5.697737 5.742457 8.063632 100 b
sub 16.960371 17.223557 17.345403 17.271795 17.308452 18.919242 100 c
作为一个观点,我发现x[x == " "] <- NA
比任何一种正则表达式方法都更容易阅读。
如果您希望略微提高速度,可以使用x[x %in% " "] <- NA
,这比==
更有效,但只能勉强。
(现在我已经正式花了太多时间探索这个:))