Joe*_*Joe 4 string r dataframe dimensionality-reduction
我有一个R数据框,有两个字段:
ID WORD
1 AAAAABBBBB
2 ABCAAABBBDDD
3 ...
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我想通过重复字母简化字母,而不是重复字母而不是重复字母:
例如:AAAAABBBBB应该给我AB
并且 ABCAAABBBDDD应该给我ABCABD
任何人都知道如何做到这一点?
这是一个正则表达式的解决方案:
x <- c('AAAAABBBBB', 'ABCAAABBBDDD')
gsub("([A-Za-z])\\1+","\\1",x)
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编辑:根据要求,一些基准测试.我在评论中添加了Matthew Lundberg的模式,匹配任何角色.它似乎gsub更快一个数量级,匹配任何字符比匹配字母更快.
library(microbenchmark)
set.seed(1)
##create sample dataset
x <- apply(
replicate(100,sample(c(LETTERS[1:3],""),10,replace=TRUE))
,2,paste0,collapse="")
##benchmark
xm <- microbenchmark(
SAPPLY = sapply(strsplit(x, ''), function(x) paste0(rle(x)$values, collapse=''))
,GSUB.LETTER = gsub("([A-Za-z])\\1+","\\1",x)
,GSUB.ANY = gsub("(.)\\1+","\\1",x)
)
##print results
print(xm)
# Unit: milliseconds
# expr min lq median uq max
# 1 GSUB.ANY 1.433873 1.509215 1.562193 1.664664 3.324195
# 2 GSUB.LETTER 1.940916 2.059521 2.108831 2.227435 3.118152
# 3 SAPPLY 64.786782 67.519976 68.929285 71.164052 77.261952
##boxplot of times
boxplot(xm)
##plot with ggplot2
library(ggplot2)
qplot(y=time, data=xm, colour=expr) + scale_y_log10()
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