Reputation: 1599
I have a data frame where I had to convert all variables to the character
class in order to bind_rows()
. Now I want to identify and convert the columns that have numbers in them back to class numeric. I have 41 values so I don't want to have to mutate
each of them separately.
Preferably the tidyverse way.
library(dplyr)
data_frame(number_var = as.character(rnorm(1:26)),
character_var = LETTERS)
Upvotes: 0
Views: 167
Reputation: 2101
You could use parse_guess
from readr
package:
library(dplyr)
library(readr)
df <- data_frame(number_var = as.character(rnorm(1:26)),
character_var = LETTERS)
df %>%
mutate_all(parse_guess) # guess column type for each column
Upvotes: 4