Displaying 2 results from an estimated 2 matches for "outscale".
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2006 Jul 23
1
Iterated Data Input/Output with Random Forests
...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....
2004 Apr 18
2
outliers using Random Forest
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 ha...