Hi all, I'm wondering if someone could put me on the right path to using
the "qvalue" package correctly.
I have an original p value from an analysis, and I've done 1,000
randomisations of the data set. So I now have an original P value and 1,000
random p values. I want to work out the false discovery rate (FDR) (Q; as
described by Storey and Tibshriani in 2003) for my original p value,
defined as the number of expected false positives over the number of
significant results for my original P value.
So, for my original P value, I want one Q value, that has been calculated
as described above based on the 1,000 random p values.
I wrote this code:
pvals <- c(list_of_p_values_obtained_from_randomisations)
qobj <-qvalue(p=pvals)
r_output1 <- qobj$pvalue
r_output2 <- qobj$qvalue
r_output1 is the list of 1,000 p values that I put in, and r_output2 is a q
value for each of those p values (i.e. so there are 1,000 q values).
The problem is I don't want there to be 1,000 Q values (i.e one for each
random p value). The Q value should be the false discovery rate (FDR) (Q),
defined as the number of expected false positives over the number of
significant results. So I want one Q value for my original P value, and to
calculate that one Q value using the 1,000 random P values I have generated.
Could someone please tell me where I'm going wrong.
Thanks
Tom
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