Dear Nina, If you have a matrix X like this
# Data set set.seed(123) X=matrix(rnorm(10*5),ncol=5) X[1,1]<-NA X[2,1]<-NA X[1,5]<-NA X[5,2]<-NA X and you'd like to remove the NA values for a particular row (for example row 1), you can try something like: X[1,!is.na(X[1,])] Now, if you have a vector "y", you could do: set.seed(123) y=c(NA,rnorm(5),NA) y y[!is.na(y)] HTH, Jorge On Tue, Jul 1, 2008 at 1:49 PM, <[EMAIL PROTECTED]> wrote: > Hi, > > I am extracting data from a table where the rows have different column > lengths, > and empty columns have NA in them. Whenever I extract a row with some empty > columns, the resulting vector carries all the NAs. Is there a way to ignore > the > empty columns? > > Thanks, > -Nina > > ______________________________________________ > 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.
