Nothing
test.posterior <-
function (frame, ncomp, samples.by.disease = NULL)
{
bad.fit <- FALSE
comp <- c(1:ncomp)
col <- paste("P", comp, sep = "")
frame$average <- apply(MARGIN = 1, frame[, col, drop = FALSE],
FUN = function(x) {
sum(x * comp)
})
for (my.id in levels(frame$batch)) {
small.frame <- subset(frame, frame$batch == my.id)
if (is.null(samples.by.disease)) {
small.frame <- small.frame[order(small.frame$signal),
]
di <- diff(small.frame$average)
should.not.be <- subset(di, di < 0)
if (sum(should.not.be) < -0.01)
bad.fit <- TRUE
}
else {
for (t in c(1:2)) {
smaller.frame <- subset(small.frame, small.frame$subject %in%
samples.by.disease[[t]])
smaller.frame <- smaller.frame[order(smaller.frame$signal),
]
di <- diff(smaller.frame$average)
should.not.be <- subset(di, di < 0)
if (sum(should.not.be) < -0.01)
bad.fit <- TRUE
}
}
}
return(bad.fit)
}
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