If you use the replicate or lapply functions then this will be taken care of for you (a list will be created containing your function output).
-- Gregory (Greg) L. Snow Ph.D. Statistical Data Center Intermountain Healthcare greg.s...@imail.org 801.408.8111 > -----Original Message----- > From: r-help-boun...@r-project.org [mailto:r-help-boun...@r- > project.org] On Behalf Of clue_less > Sent: Friday, November 06, 2009 4:58 PM > To: r-help@r-project.org > Subject: [R] which data structure to choose to keep multile objects? > > > I have a function called nnmf which takes in one matrix and returns > two > matrices. for example, > > > X > [,1] [,2] [,3] [,4] > [1,] 1 4 7 10 > [2,] 2 5 8 11 > [3,] 3 6 9 12 > > > z=nnmf(X,2) > > > z$W > [,1] [,2] > [1,] 0.8645422 0.6643681 > [2,] 1.7411863 0.5377504 > [3,] 2.6179287 0.4111063 > > z$H > [,1] [,2] [,3] [,4] > [1,] 1.14299486 1.692260 2.241279 2.79030 > [2,] 0.01838514 3.818559 7.619719 11.42087 > > ---------------------------------------- > > Now I would like to run it many times -- > > z2 = nnmf(X,2) > z3 = nnmf(X,3) > z4 = nnmf(X,4) > z5 = nnmf(X,5) > ... > > But I would like to do it automatically , something like - > > xprocess<-function(max_val) { > for (iter in 2: max_val) { > > zz = sprintf( "z%s", iter ) > > zz <-nnmf(X,iter) > > } > > } > > xprocess(10) > > > ---- > > But how could I keep collection of my results each run? > > Shall I have a data structure to keep appending results? > > something like > > theta = {} > > ? > > which data structure to choose to keep multile objects? > > Thanks! > > Tim > > -- > View this message in context: http://old.nabble.com/which-data- > structure-to-choose-to-keep-multile-objects--tp26231601p26231601.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. ______________________________________________ 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.
