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

An alternative way without the [<- function:

A sample data frame dat (shamelessly copied from @Chase's answer):

dat

  x y
1 0 2
2 1 2
3 1 1
4 2 1
5 0 0

Zeroes can be replaced with NA by the is.na<- function:

is.na(dat) <- !dat


dat

   x  y
1 NA  2
2  1  2
3  1  1
4  2  1
5 NA NA