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

In case anyone arrives here via google looking for the opposite (i.e. how to replace all NAs in a data.frame with 0), the answer is

df[is.na(df)] <- 0

OR

Using dplyr / tidyverse

library(dplyr)
mtcars %>% replace(is.na(.), 0)