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. > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
