Hi Keizer,

Look at *"Computing Thousands of Test Statistics Simultaneously in R" *by
Holger Schwender and Tina Müller in
http://stat-computing.org/newsletter/v181.pdf


HTH


Jorge



On Tue, Mar 4, 2008 at 6:05 AM, Keizer_71 <christophe.lo@gmail.com> wrote:

>
> Hi Guys,
>
> I am having a real hard time trying to figure out for microarry.
>
> Here is my code
>
> One-Sample t-Test
>
> dim(data.sub)
> [1] 10000   140 ##there are 10000 probesets and 140 columns
>
> hist(data.sub) ## Histogram. Identify if the probesets are normal
> distributed
> q<-rnorm(10000) ##generate 10000 random, normal distributed values
> qqplot(data.sub,q)) ##Show the plot of the probeset
> qqline(data.sub,q) ##Show the line going through the plot
> t.test(data.sub,mu=0) ## One Sample t-test: identify any significant in
> the
> probeset
>
> When i plot and use histogram, it is showing a nice normal distribution.
>
> What i want to do is to use classical paired or one-sample test for each
> row
> (10000 rows)
>
> what is the best way to do this?
>
> thanks,
> kei
> --
> View this message in context:
> http://www.nabble.com/paired-or-one-sample-t-Test-tp15824910p15824910.html
> Sent from the R help mailing list archive at Nabble.com.
>
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