r - 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    1    1 
3    2    2 
4    1    1 
5    2    2 
6    1   NA

I tried to estimate the col mean and select the column means !=NA. I tried this statement, it does not work.

data=subset(Itun, select=c(is.na(colMeans(Itun))))

I got an error,

error : 'x' must be an array of at least two dimensions

Can anyone give me some help?

Answer 1

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)))]