Question: multtest problem...

0

Dipl.-Ing. Johannes Rainer •

**430**wrote:hi,
i used the mt.teststat function from the package multtest and wonder
why the p values that the function calculates differ from those i get
using the wilcox.test or t.test function.
i tried it with the golub data set (data(golub)) and
wilcox.test(x=golub[,golub.cl==0],y=golub[,golub.cl==1])
returns a p-value = 0.8987
while teststat<-mt.teststat(golub,golub.cl,test="wilcoxon")
teststat[1] = 1.75419
i thought that the mt.teststat funciton uses simple t tests or wilcox
test to calculate p values...
perhaps i am wrong with the class labels?
from the help i understood, that if i have two groups in my samples i
submit as classlabels for examples c(0,0,0,1,1,1) and this means that
the first 3 columns of my data correspond to group 0 and the other 3
to
group 1. is this correct?
thanks, jo

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modified 14.6 years ago
by
kpollard •

**110**• written 14.6 years ago by Dipl.-Ing. Johannes Rainer •**430**