Nice! Thanks a lot, everybody! Dimitri On Fri, Nov 4, 2016 at 10:35 AM, Bert Gunter <bgunter.4...@gmail.com> wrote: > My goodness! > >> x %*% diag(y) > > [,1] [,2] > [1,] 2 12 > [2,] 4 15 > [3,] 6 18 > > will do. > > -- Bert > > > > Bert Gunter > > "The trouble with having an open mind is that people keep coming along > and sticking things into it." > -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) > > > On Thu, Nov 3, 2016 at 2:33 PM, Sarah Goslee <sarah.gos...@gmail.com> wrote: >> Like this? >> >>> sweep(x, 2, y, "*") >> [,1] [,2] >> [1,] 2 12 >> [2,] 4 15 >> [3,] 6 18 >>> >> >> >> On Thu, Nov 3, 2016 at 5:05 PM, Dimitri Liakhovitski >> <dimitri.liakhovit...@gmail.com> wrote: >>> Hello! >>> >>> I have a matrix x and a vector y: >>> >>> x <- matrix(1:6, ncol = 2) >>> y <- c(2,3) >>> >>> I need to multiply the first column of x by 2 (y[1]) and the second >>> column of x by 3 (y[2]). >>> >>> Of course, I could do this - but it's column by column: >>> >>> x[,1] <- x[,1] * y[1] >>> x[,2] <- x[,2] * y[2] >>> x >>> >>> Or I could repeat each element of y and multiply two matrices - that's >>> better: >>> >>> rep.row<-function(x,n){ >>> matrix(rep(x,each=n),nrow=n) >>> } >>> y <- rep.row(y, nrow(x)) >>> x * y >>> >>> However, maybe there is a more elegant r-like way of doing it? >>> Thank you! >>> >>> -- >>> Dimitri Liakhovitski >>> >> >> -- >> Sarah Goslee >> http://www.functionaldiversity.org >> >> ______________________________________________ >> 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.
-- Dimitri Liakhovitski ______________________________________________ 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.