

Hi, 
If you want to see any result by gene, you should apply the function by genes, not by samples. As I understood, you are applying the test with the columns Samplea and SamplVehicle, but what you need is a result per row (per gene). Then you will see wich of the genes are significant.


Regards


> Date: Tue, 24 Feb 2009 15:26:55 +0000
> From: amitrhelp@yahoo.co.uk
> To: r-help@r-project.org
> Subject: [R] Help with t.test
> 
> 
> 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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