use*_*622 3 substring r wildcard
我有一个data.frame列,其值如下所示.我想使用每个单元格并创建两个列 - num1和num2,使得num1 =" - "之前的所有内容,num2 =" - "和"."之间的所有内容.
我想用gregexpr功能,如图所示这里,写一个for循环,以每行迭代.有更快的方法吗?
60-150.PNG
300-12.PNG
employee <- c('60-150.PNG','300-12.PNG')
employ.data <- data.frame(employee)
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尝试
library(tidyr)
extract(employ.data, employee, into=c('num1', 'num2'),
'([^-]*)-([^.]*)\\..*', convert=TRUE)
# num1 num2
#1 60 150
#2 300 12
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要么
library(data.table)#v1.9.5+
setDT(employ.data)[, tstrsplit(employee, '[-.]', type.convert=TRUE)[-3]]
# V1 V2
#1: 60 150
#2: 300 12
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或者基于@ rawr的评论
read.table(text=gsub('-|.PNG', ' ', employ.data$employee),
col.names=c('num1', 'num2'))
# num1 num2
#1 60 150
#2 300 12
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保留原始列
extract(employ.data, employee, into=c('num1', 'num2'), remove=FALSE,
'([^-]*)-([^.]*)\\..*', convert=TRUE)
# employee num1 num2
#1 60-150.PNG 60 150
#2 300-12.PNG 300 12
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要么
setDT(employ.data)[, paste0('num', 1:2) := tstrsplit(employee,
'[-.]', type.convert=TRUE)[-3]]
# employee num1 num2
#1: 60-150.PNG 60 150
#2: 300-12.PNG 300 12
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要么
cbind(employ.data, read.table(text=gsub('-|.PNG', ' ',
employ.data$employee),col.names=c('num1', 'num2')))
# employee num1 num2
#1 60-150.PNG 60 150
#2 300-12.PNG 300 12
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