I've been successfully using GSEAlm for purposes quite similar to the
examples in the vignette without difficulty. Now I would like to apply this
package to a list of summary statistics derived from a one-sample t-test of
6 Cohen's D measurements. My options would seem to be either modeling the CD
measurements, a one factor, one level, design; or, just using the computed
t.statistics. R's basic function of lm doesn't seem to like one-sample tests
(understandably, see my example below) yet I can't figure out how to do GSEA
using just a pre-computed list of stats.

> a <- c(-1, 1, 0, 100, 3)
> fac <- factor(rep("A", 5))
> lm(a ~ fac)
Error in `contrasts<-`(`*tmp*`, value = "contr.treatment") :
  contrasts can be applied only to factors with 2 or more levels
------------------------------------------------------------
Mark W. Kimpel MD  ** Neuroinformatics ** Dept. of Psychiatry
Indiana University School of Medicine

15032 Hunter Court, Westfield, IN  46074

(317) 490-5129 Work, & Mobile & VoiceMail
(317) 399-1219  Home
Skype:  mkimpel

"The real problem is not whether machines think but whether men do." -- B.
F. Skinner
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