Question

我正在尝试更改所有数据集以替换特殊的符号和字符，但是我想使用dplyr来执行该操作，但没有找到答案。当我说“特殊”时，我指的是在外国语言中常见的符号，例如葡萄牙语。

ds <- data.frame(group=c("american", "canadian"), 
                 queçtão.1=rnorm(n=50,mean=100,sd=15),
                 queçtão.2=rnorm(n=50, mean=1500, sd=300),
                 queçtão.18=rnorm(n=50, mean=5, sd=2))

类似

         quectao1
         quectao2
         quectão18

为什么我的问题：

一个论坛成员帮助我use dplyr to gather variables and summarise its results，但是它不能用于带有特殊符号的变量：

set.see(123)
ds <- data.frame(group=c("american", "canadian"), 
                 queçtão.1=rnorm(n=50,mean=100,sd=15),
                 queçtão.2=rnorm(n=50, mean=1500, sd=300),
                 queçtão.18=rnorm(n=50, mean=5, sd=2))

ds %>% 
  group_by(group) %>% 
  summarise_at(vars(queçtão.1,queçtão.2,queçtão.18),funs(mean, sd)) %>% 
  gather(key, val, queçtão.1_mean:queçtão.18_sd) %>% 
  separate(key, into = c('key1', 'key2')) %>% 
  unite(group, group, key2) %>%
  spread(group, val)

Error: Duplicate identifiers for rows (1, 7), (5, 11), (3, 9), (2, 8), (6, 12), (4, 10)
In addition: Warning message:
Expected 2 pieces. Additional pieces discarded in 12 rows [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12].

Answer 1

如果您在这里并想检查该问题的解决方案，我有两种选择。

首先，使用dplyr：

ds <- ds %>% setNames(tolower(gsub("\\.","",names(.)))) %>% 
   setNames(tolower(gsub("\\_","",names(.)))) %>% 
   setNames(tolower(gsub("ç","c",names(.)))) %>% 
   setNames(tolower(gsub("ã","a",names(.))))

第二，使用管理员软件包

library(janitor)
ds <- ds %>% clean_names()

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从数据集中的所有变量重命名特殊字符/符号

1 个答案: