Hi I have managed to do a paired t-test with a data set
i have 5 colums of data im dealing with
GENEÂ Â Â Â Â Â Â Â Â Â Â Â Â SampAÂ Â Â Â Â Â Â Â Â Â Â Â Â
SampBÂ Â Â Â Â Â Â Â Â Â Â Â Â SampCÂ Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â
SampVehicle
ctcc                 Â
859Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â
na                   Â
145Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â 24
gtcg                 Â
45Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â
5Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â
54Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â 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
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