search for: outscal

...empData<-read.delim(paste("allSnps",1,"Phenotype.phn",sep=""),header=TRUE,sep=",",quote="\"",dec=".") tempData[[1]]<-factor(tempData[[1]]) tempData.rf<-randomForest(tempData[[1]]~.,data=tempData,importance=TRUE,proximity=TRUE,outscale=TRUE,replace=TRUE) tempData.rf zz<-file(paste("ex",1,".data",sep=""), "w") cat(ex.lm.out, sep="\n", file=zz) sink() close(zz) I am able to successfully input and output for one file. However, if I try to use a for loop or a while statement e.g....

Hello, Does anybody know if the outscale option of randomForest yields the standarized version of the outlier measure for each case? or the results are only the raw values. Also I have notice that this measure presents very high variability. I mean if I repeat the experiment I am getting very different values for this measure and it is h...