How do I change all 0/1 variables in my dataset to Yes/No?-CodePudding

How do I change all the 0,1 values to No, Yes in my whole dataset, not just for one variable? Thanks

CodePudding user response：

With tidyverse, we can apply a function across all columns using case_when (providing multiple ifelse statements).

library(tidyverse)

df %>%
  mutate(across(everything(), ~ case_when(. == 0 ~ "No",
                                        . == 1 ~ "Yes",
                                        TRUE ~ NA_character_)))

Or in base R, we can just replace all instances of 0 with No, and then the same for 1.

df[df == 0] <- "No"
df[df == 1] <- "Yes"

Output

    x   y   z
1  No Yes Yes
2 Yes  No  No
3 Yes  No  No
4 Yes Yes  No

Data

df <- data.frame(x = c(0, 1, 1, 1), y = c(1, 0, 0, 1), z = c(1, 0, 0, 0))

#  x y z
#1 0 1 1
#2 1 0 0
#3 1 0 0
#4 1 1 0

CodePudding user response：

Though I prefer the base R method, this alternate tidyverse solution using recode() seems easier to read and understand than base R when you return to it later:

df <- data.frame(x = c(0, 1, 1, 1), y = c(1, 0, 0, 1), z = c(1, 0, 0, 0))

df %>%
  mutate(across(
    everything(),
    ~ recode(., "0" = "No", "1" = "Yes")
  ))

Output:

   x   y   z
1  No Yes Yes
2 Yes  No  No
3 Yes  No  No
4 Yes Yes  No