Hi I have managed to do a paired t-test with a data set i have 5 colums of data im dealing with
GENE SampA SampB SampC SampVehicle ctcc 859 na 145 24 gtcg 45 5 54 69 and so on but they are much larger columns each column has been split and i can do t.test on for eg sampA by doing t.test(sampA, SampVehicle, na.rm=TRUE, paired=TRUE, conf.level=0.95) what can I do to be able to identify which of the genes are responsible for the most variance or are the most significant. THANKS IN ADVANCE ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
