Gregory (Greg) L. Snow Ph.D.
Statistical Data Center
Intermountain Healthcare
greg.snow at imail.org
801.408.8111
> -----Original Message-----
> From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-
> project.org] On Behalf Of clue_less
> Sent: Friday, November 06, 2009 4:58 PM
> To: r-help at 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.
>
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