Welcome to OStack Knowledge Sharing Community for programmer and developer-Open, Learning and Share
Welcome To Ask or Share your Answers For Others

Categories

0 votes
692 views
in Technique[技术] by (71.8m points)

r - Renaming multiple columns with dplyr rename(across(

Hey i'm trying to rename some columsn by adding "Last_" with the new version of dplyr but I keep getting this error

Error: `across()` must only be used inside dplyr verbs.

this is my code

data %>% rename(across(everything(), ~paste0("Last_", .)))

dplyr version: v1.0.2

See Question&Answers more detail:os

与恶龙缠斗过久,自身亦成为恶龙;凝视深渊过久,深渊将回以凝视…
Welcome To Ask or Share your Answers For Others

1 Answer

0 votes
by (71.8m points)

We can use rename_with instead of rename

library(dplyr)   
library(stringr)
data %>%
      rename_with(~str_c("Last_", .), everything())

Reproducible example

data(iris)
head(iris) %>% 
    rename_with(~str_c("Last_", .), .cols = everything())
#  Last_Sepal.Length Last_Sepal.Width Last_Petal.Length Last_Petal.Width Last_Species
#1               5.1              3.5               1.4              0.2       setosa
#2               4.9              3.0               1.4              0.2       setosa
#3               4.7              3.2               1.3              0.2       setosa
#4               4.6              3.1               1.5              0.2       setosa
#5               5.0              3.6               1.4              0.2       setosa
#6               5.4              3.9               1.7              0.4       setosa

According to ?rename

rename() changes the names of individual variables using new_name = old_name syntax; rename_with() renames columns using a function.

and in ?across

across() makes it easy to apply the same transformation to multiple columns, allowing you to use select() semantics inside in summarise() and mutate().

The description says its use within mutate/summarise (and transmute?), and no indication of usage with any other functions i.e. it would fail with select


与恶龙缠斗过久,自身亦成为恶龙;凝视深渊过久,深渊将回以凝视…
Welcome to OStack Knowledge Sharing Community for programmer and developer-Open, Learning and Share
Click Here to Ask a Question

2.1m questions

2.1m answers

60 comments

57.0k users

...