合并列并按字母顺序排列其内容

Merging Columns and Alphabetizing Their Contents

我有一个名为 issuesdata 的数据框,它是我从一个更大的框架 clean.data

创建的
issue1 <- as.vector(clean.data$issue1)
issue2 <- as.vector(clean.data$issue2)
issue3 <- as.vector(clean.data$issue3)
issuesdata <- data.frame(issue1, issue2, issue3)

issuesdata %>% dplyr::slice(10:15)
          issue1      issue2      issue3
1       economic        <NA>        <NA>
2       economic unification        <NA>
3       economic        <NA>        <NA>
4 transportation    aviation        <NA>
5        justice        <NA>        <NA>
6        slavery    economic humanrights

我有两个目标:

  1. 将这些列合并在一起,这样第四列就包含了一个字符串中的所有问题(列名:allissues
  2. allissues 中的问题文本按字母顺序排列

例如allissues的第2行会保持economic unification的形式,但是是一个字符串。第 4 行是 Aviation Transportation,而第 6 行是 economic humanrights slavery.

我该怎么做?

按行删除 NA 值,对它们进行排序并将它们粘贴在一起。

在基础 R 中:

issuesdata$combine <- apply(issuesdata, 1, function(x) 
                            toString(sort(na.omit(x))))

dplyr :

library(dplyr)

issuesdata %>%
  rowwise() %>%
  mutate(combine = toString(sort(na.omit(c_across()))))

#  issue1         issue2      issue3      combine_data                  
#  <chr>          <chr>       <chr>       <chr>                         
#1 economic       NA          NA          economic                      
#2 economic       unification NA          economic, unification         
#3 economic       NA          NA          economic                      
#4 transportation aviation    NA          aviation, transportation      
#5 justice        NA          NA          justice                       
#6 slavery        economic    humanrights economic, humanrights, slavery