Replace all 0 values to NA

Question

I have a dataframe with some numeric columns. Some row has a 0 value which should be considered as null in statistical analysis. What is the fastest way to replace all the 0

Answer 1

dplyr::na_if() is an option:

library(dplyr)  

df <- data_frame(col1 = c(1, 2, 3, 0),
                 col2 = c(0, 2, 3, 4),
                 col3 = c(1, 0, 3, 0),
                 col4 = c('a', 'b', 'c', 'd'))

na_if(df, 0)
# A tibble: 4 x 4
   col1  col2  col3 col4 
     
1     1    NA     1 a    
2     2     2    NA b    
3     3     3     3 c    
4    NA     4    NA d