How i can replace zeros with NAs across all columns in R using dplyr?

i have a dataframe that looks like this :

Date = seq(as.Date("2022/1/1"), by = "day", length.out = 10)
x = c(rnorm(9),NA)
y = c(NA,0,rnorm(4),6,0,0,10)
z = c(rnorm(4),0,0,NA,NA,3,2)
d = tibble(Date,x,y,z);d
# A tibble: 10 x 4
   Date                 x          y          z
   <date>           <dbl>      <dbl>      <dbl>
 1 2022-01-01  2.456174   NA          0.2963012
 2 2022-01-02  0.3648335   0          0.3981664
 3 2022-01-03  0.8283570  -0.1843364  1.194378 
 4 2022-01-04  1.061199    1.507231  -0.2337116
 5 2022-01-05 -0.07824196 -0.6708553  0        
 6 2022-01-06 -0.2654019   0.3008499  0        
 7 2022-01-07  1.426953    6         NA        
 8 2022-01-08 -0.5776817   0         NA        
 9 2022-01-09  0.8706953   0          3        
10 2022-01-10 NA          10          2   

how i can replace all the zeros across all columns with NA using Dplyr package ?

>Solution :

With dplyr, you could use na_if():

library(dplyr)

d %>%
  mutate(across(everything(), na_if, 0))

or simply

d[d == 0] <- NA

# Pipeline
d %>%
  `[<-`(d == 0, value = NA)