> I have a csv file where the number of filled columns
> varies in the different rows:
I would hack it like this, but then I am totally new to R,
which means you should not trust me.:
d <- read.csv("testdata", header=F)
selection <- apply(d, c(1),
function(x) {sum(!is.na(x) & x != "") > 2})
as.data.frame(t(as.data.frame(t(d))[selection]))
Tom
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