Hi, Is the following close enough?
apply(set2, 2, function(x) x[is.na(x)]) HTH, baptiste 2009/12/10 Andreas Wittmann <andreas_wittm...@gmx.de>: > Dear R-users, > > after several tries with lapply and searching the mailing list, i want to > ask, wheter and how it is possibly to avoid the for-loop in the following > piece of code? > > set2<-as.data.frame(matrix(rnorm(9),ncol=3)) > > set2[1,1] <- NA > set2[3,2] <- NA > set2[2,1] <- NA > > dimnames(set2)[1] <- list(c("A","B","C")) > > r <- !is.na(set2) > imp <- vector("list", ncol(set2)) > > for (j in 1:dim(set2)[2]) > { > imp[[j]] <- as.data.frame(matrix(NA, nrow = sum(!r[,j]), ncol = 1)) > dimnames(imp[[j]]) <- list(row.names(set2)[r[,j] == FALSE], 1) > } > > > many thanks and best regards > > Andreas > > ______________________________________________ > 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. > ______________________________________________ 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.