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根据另一列R中的字符创建一列

[英]Create a column based on characters from another column R

I am looking to create a new column based off of labels present in another column. 我希望根据另一列中存在的标签创建一个新列。 For a simple example suppose I have the following dataframe 举一个简单的例子,假设我有以下数据框

> df <- data.frame(label = c("AF1", "AF2", "AO1", "AO1"), somevalue = c(1, 2, 3, 4))
> df
  label somevalue
1   AF1         1
2   AF2         2
3   AO1         3
4   AO1         4

What I need to do is create a new column based on the middle character in the "label". 我需要做的是基于“标签”中的中间字符创建一个新列。 I have managed to do this with the code below, but I feel there must be a more elegant way of doing this which is currently beyond me. 我已经用下面的代码做到了这一点,但是我觉得必须有一种更优雅的方式来做到这一点,而这是我目前无法做到的。

> df <- df %>% mutate(newCol = NA)
> df$newCol[str_detect(df$label, "F")] <- "fairies"
> df$newCol[str_detect(df$label, "O")] <- "ogres"
> df
  label somevalue  newCol
1   AF1         1 fairies
2   AF2         2 fairies
3   AO1         3   ogres
4   AO1         4   ogres

Thanks in advance. 提前致谢。

You can use strsplit . 您可以使用strsplit

df %>%
  mutate(newCol = map_chr(label, ~unlist(strsplit(., ""))[2])) %>%
  mutate(newCol = case_when(newCol == "F" ~ "fairies",
                            newCol == "O" ~ "ogres"))

  label somevalue  newCol
1   AF1         1 fairies
2   AF2         2 fairies
3   AO1         3   ogres
4   AO1         4   ogres

Here an easy solution using base R code: 这是一个使用基本R代码的简单解决方案:

df[substr(df$label,2,2)=="F","newCol"]<-"fairies"
df[substr(df$label,2,2)=="O","newCol"]<-"ogres"
df
  label somevalue  newCol
1   AF1         1 fairies
2   AF2         2 fairies
3   AO1         3   ogres
4   AO1         4   ogres

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