On Mar 22, 2011, at 3:16 PM, Gian Luca Negri wrote:
Hi,
I have a data.frame(zscores) that looks like this:
gA gB
g1 0.2 0.6
g2 0.3 Na
I hope it doesn't look likethat because it would mean you had gB as a
character vector when I think you want that value to be NA.
My problem is that I need to use a function and the output is a
vector of only the non NA values, so shorter than the list I would
obtain dropping the data.frame.
What is the cleanest way to keep row and column names or putting the
values back into the same data frame format?
I sometime create a logical vector in the data.frame named gdval for
"good value"
> zscores$gdval <- apply(zscores, 1, function(x) all(!is.na(x)) )
>
> zscores[ zscores$gdval, -grep("gdval", names(zscores))]
gA gB
g1 0.2 0.6 # returns all rows without any NA's without removing
any data in zscores
The function is fdrtool() and I can compute the values I'm
interested like this:
FDR=fdrtool([!is.na(zscores)])$qval
But at this point I don't know how to track back these values, to
the original data frame
Thanks,
Gian Luca
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