Hi there, I have a matrix which its elements are 0, 1,2,NA I want to remove the columns which the colsums are equal to 0 or NA and drop these columns from the original matrix and create the new matrix for the nonzero and NA value? (I think I have consider na.rm=True and remove the colums with colsum=0, because if I consider na.rm=False all the values of my colsums get NA)
this is my matrix format: mat[1:5,1:5] 1:110590170 1:110888172 1:110906406 1:110993854 1:110996710 1:111144756 A05363 0 0 0 0 NA 0 A05370 0 0 0 0 0 NA A05380 1 NA 2 0 NA 0 A05397 0 0 0 1 0 2 A05400 2 0 0 0 0 0 A05426 0 0 NA 0 0 0 summat <- colSums(mat,na.rm = TRUE) > head(summat) [,1] 1:110590170 3 1:110888172 0 1:110906406 2 1:110993854 1 1:110996710 0 1:111144756 2 The 2nd and 5th columns have colsum=0 so I Ishould remove them from the met and keep the rest of columns in another matrix. my out put should be like below: metnonzero 1:110590170 1:110906406 1:110993854 1:111144756 A05363 0 0 0 0 A05370 0 0 0 NA A05380 1 2 0 0 A05397 0 0 1 2 A05400 2 0 0 0 A05426 0 NA 0 0 would you please let me know how can I do that? Many thanks, Lid [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.