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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