Hi Faz,

Here is one way of doing it where "x" is your data frame:

x[, colMeans(is.na(x)) <= .15]

HTH,
Jorge.-


On Sun, Aug 5, 2012 at 9:04 PM, Faz Jones <> wrote:

> I have a dataframe of 10 different columns (length of each column is
> the same). I want to eliminate any column that has 'NA' greater than
> 15% of the column length. Do i first need to make a function for
> calculating the percentage of NA for each column and then make another
> dataframe where i apply the function? Whats the best way to do this.
>
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