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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