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
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