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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