Have found a solution: matrix[rowSums(matrix == 0) == 0, ]
mentor_ wrote: > > Hi, > > I have a further question about matrix manipulation. > > Imagine the following two matrices: >> test > [,1] [,2] [,3] [,4] > [1,] 1 0 6 4 > [2,] 2 5 7 5 > [3,] 3 6 8 6 > [4,] 4 0 0 0 > >> matrix(is.element(test,0), ncol=4) > [,1] [,2] [,3] [,4] > [1,] FALSE TRUE FALSE FALSE > [2,] FALSE FALSE FALSE FALSE > [3,] FALSE FALSE FALSE FALSE > [4,] FALSE TRUE TRUE TRUE > > How can I apply the TRUE FALSE matrix to the 'test' matrix so that all > rows > having at least one zero value will be thrown out. > > So after applying the TRUE FALSE matrix the test matrix shoud look like > the following: > [,1] [,2] [,3] [,4] > [1,] 2 5 7 5 > [2,] 3 6 8 6 > > Cheers > -- View this message in context: http://www.nabble.com/Delete-rows-from-matrix-having-at-least-one-zero-value-tp20405964p20406333.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
