1 | squared.t.test(data, cls1, cls2, pathways = NULL)
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data |
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cls1 |
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cls2 |
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pathways |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | ##---- Should be DIRECTLY executable !! ----
##-- ==> Define data, use random,
##-- or do help(data=index) for the standard data sets.
## The function is currently defined as
function (data, cls1, cls2, pathways = NULL)
{
tval <- ptval <- c()
tval <- ttest(data, cls1, cls2)
for (i in 1:length(pathways)) {
tmp <- c()
nm1 <- pathways[[i]]
nm2 <- names(pathways)[i]
tmp <- tval[nm1]
tmp <- tmp[!is.na(tmp)]
tmp <- (sqrt(sum(tmp^2)))/length(tmp)
names(tmp) <- nm2
ptval <- c(ptval, tmp)
}
return(ptval)
}
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