Remove columns from dataframe where some of values are NA

Question

I have a dataframe where some of the values are NA. I would like to remove these columns.

My data.frame looks like this

    v1   v2 
1    1   NA 
2           


        

Answer 1

Here's a convenient way to do it using the dplyr function select_if(). Combine not (!), any() and is.na(), which is equivalent to selecting all columns that don't contain any NA values.

library(dplyr)
Itun %>%
    select_if(~ !any(is.na(.)))