Hi Vickie, You might try the following:
# some data set.seed(123) X <- matrix(rnorm(1000), ncol = 20) X[sample(1000, 100)] <- NA # excluding rows with NA >20% X[!rowMeans(is.na(X)) > 0.2, ] # excluding columns with NA >10% X[, !colMeans(is.na(X)) > 0.1] See ?is.na, ?rowMeans and ?colMeans for more information. HTH, Jorge On Fri, May 13, 2011 at 9:42 AM, Vickie S <> wrote: > > Hi > naive question. > It is possible to get R command for omitting rows or cols with missing > values present. > > But > if i want to omit rows or cols with i.e . >20% missing values, I > could´t find any package-based command, probably because it is too > simple for anyone to do that manually, though not for me. Can anyone > please help me ? > > - vickie > > > > > > > > > > > > > [[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. > > [[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.
