将一列拆分为两列：R中的Column1-1st拆分和column2-rest [重复]

Question

我的数据在单列中，我想将拆分输出分成 2 列。我需要两个输出列。

输入列是....

列

HOUSEHOLDS-Total households - Female householder- under 18 years  
Total households - Female householder- under 18 years

我想要输出...

列 1

HOUSEHOLDS  
Total households

列 2

Total households - Female householder- under 18 years  
Female householder- under 18 years

Answer 1

以下是使用来自tidyr 的separate 的方法。基本上，您是在第一次出现“-”时分开的。由于extra = "merge"，其他事件被忽略。

df <- read.table(text="'HOUSEHOLDS-Total households - Female householder- under 18 years'  
                      'Total households - Female householder- under 18 years'",
                       header=FALSE,stringsAsFactors=FALSE)

library(tidyr)
df %>% separate(V1, into = c('Col1', 'Col2'),  sep="-", extra = "merge").
               Col1                                                  Col2
1        HOUSEHOLDS Total households - Female householder- under 18 years
2 Total households                     Female householder- under 18 years

Answer 2

如果这是您的数据集：

df1<- c("HOUSEHOLDS-Total households - Female householder- under 18 years", "Total households - Female householder- under 18 years")

你可以使用：

regmatches(df1, regexpr("-", df1), invert = TRUE)
[[1]]
[1] "HOUSEHOLDS-Total households "       "Female householder- under 18 years"

[[2]]
[1] "Total households "                   " Female householder- under 18 years"

输出是一个列表。