Remove columns from dataframe where some of values are NA

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(.)))

The data:

Itun <- data.frame(v1 = c(1,1,2,1,2,1), v2 = c(NA, 1, 2, 1, 2, NA)) 

This will remove all columns containing at least one NA:

Itun[ , colSums(is.na(Itun)) == 0]

An alternative way is to use apply:

Itun[ , apply(Itun, 2, function(x) !any(is.na(x)))]