R help - Feb 2008 - filling data into objects

I am trying to generate artificial data for feature selection.  Basically trying
to generate a total of 1000 features with 100 that are informative and rest are
uninformative.
Informative.data.class1<-rnorm(100,0.25,1)
Uninformative.data.class1<-rnorm(900,0,1)
Informative.data.class2<-rnorm(100, -0.25,1)
Uninformative.data.class2<-rnorm(900,0,1)

The above will give me one set of data for the two classes. I am interested in
generating about a 100 set for each class.  What is a neat way to write it in R?
Thanks ../Murli


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Perhaps:

for(i in 1:100)assign(sprintf("Informative.data.class%s", i),
rnorm(100, 0.25,1))
for(i in 1:100)assign(sprintf("Uninformative.data.class%s", i),
rnorm(900))

Or working with a list:

Informative <- replicate(100, rnorm(100, 0.25,1))
Uninformative <- replicate(100, rnorm(900))

On 06/02/2008, Nair, Murlidharan T <mnair at iusb.edu>
wrote:
> I am trying to generate artificial data for feature selection.  Basically
trying to generate a total of 1000 features with 100 that are informative and
rest are uninformative.
> Informative.data.class1<-rnorm(100,0.25,1)
> Uninformative.data.class1<-rnorm(900,0,1)
> Informative.data.class2<-rnorm(100, -0.25,1)
> Uninformative.data.class2<-rnorm(900,0,1)
>
> The above will give me one set of data for the two classes. I am interested
in generating about a 100 set for each class.  What is a neat way to write it in
R?
> Thanks ../Murli
>
>
>         [[alternative HTML version deleted]]
>
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