Not sure you really want the overhead of sweep() for this, but logically, you want z as a vector or maybe 1d array since sweep() is designed as complimentary to apply(). I.e., you can sweep out marginal means using, say,
m <- matrix(c(5, 7, 9, 13), 2) colmean <- apply(m, 2, mean) sweep(m, 2, colmean, "-") in which colmean is a vector. In general, apply() yields an array with fewer extents, and sweep expects one. -pd On 19 Nov 2014, at 16:00 , Dénes Tóth <toth.de...@ttk.mta.hu> wrote: > Hi, > > It is better to use sweep() for these kinds of problems, see ?sweep > > y <- matrix(cbind(c(0, 0.5, 1),c(0, 0.5, 1)),ncol=2) > z <- matrix(c(12, -6),ncol=2) > sweep(y, 2, z, "*") > > > Best, > Denes > > > > On 11/19/2014 03:50 PM, Berend Hasselman wrote: >> On 19-11-2014, at 15:22, Ruima E. <ruimax...@gmail.com> wrote: >> >>> Hi, >>> >>> I have this: >>> >>> y = matrix(cbind(c(0, 0.5, 1),c(0, 0.5, 1)),ncol=2) >>> z = matrix(c(12, -6),ncol=2) >>> >>> In matlab I would do this >>> >>>> y .* x >>> I would get this in matlab >>> >>>> ans >>> 0 -0 >>> 6 -3 >>> 12 -6 >>> >>> What is the equivalent in R? >>> >> One way of doing this could be: >> >> y * rep(z,1,each=nrow(y)) >> >> Berend >> >>> Thanks >>> >>> [[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. >> ______________________________________________ >> 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. -- Peter Dalgaard, Professor, Center for Statistics, Copenhagen Business School Solbjerg Plads 3, 2000 Frederiksberg, Denmark Phone: (+45)38153501 Email: pd....@cbs.dk Priv: pda...@gmail.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.
