Replace all row values according to a value in a specific column in R

Let’s say that we have a dataset that look like this:

I want to replace the all the row values (right wise not the var column) according to the FALSE value of column c1 with NA.

Ideally I want to look like this :

var  = c("a","b","c","d") 
c1 = c(TRUE,FALSE,TRUE,FALSE)
c2 = c(TRUE,TRUE,TRUE,TRUE)
c3 = c(TRUE,TRUE,TRUE,TRUE)
data= tibble(var,c1,c2,c3);data

How can I do it in R using the dplyr package ?
Any help ?

>Solution :

We can use across in dplyr – loop across the ‘c2’, ‘c3’ columns, and use the logical column from ‘c1’ to return the values of the column, by default the last condition i.e. TRUE will be all NA

library(dplyr)
data <- data %>% 
   mutate(across(c2:c3, ~ case_when(c1 ~ .x)))

-output

data
# A tibble: 4 × 4
  var   c1    c2    c3   
  <chr> <lgl> <lgl> <lgl>
1 a     TRUE  TRUE  TRUE 
2 b     FALSE NA    NA   
3 c     TRUE  TRUE  TRUE 
4 d     FALSE NA    NA