Message-ID: <da79af330803030942k3b47a840k3114393b865d31e0@mail.gmail.com>
Date: 2008-03-03T17:42:12Z
From: Henrique Dallazuanna
Subject: Calculating the t-test for each row
In-Reply-To: <15808716.post@talk.nabble.com>
You can try this:
cbind(data.sub, p.value=apply(data.sub, 1, function(x)t.test(x)$p.value))
On 03/03/2008, Keizer_71 <christophe.lo at gmail.com> wrote:
>
> Hi Everyone,
>
> I need some simple help.
>
> Here are my codes
>
> ##########will give me 10000 probesets####################
> data.sub = data.matrix[order(variableprobe,decreasing=TRUE),][1:10000,]
> dim(data.sub)
> data_output<-write.table(data.sub, file = "c://data_output.csv", sep = ",",
> col.names = NA)
>
> When i export to excel, it shows me this. This is just a short version.
> There are 1000 rows and 140 columns
>
> Sample_1_D Sample_1_C Sample_2_D Sample_2_C
> 1 2.425509867 11.34031409 11.46868531 11.75741478
>
>
> Here is my question: How do create a new row and calculate the t-test so
> that it will give me the p-value
>
> Here is what i am looking for. The p-value is not correct but just an
> example. It needs to calculate the entire each row. There are 10000 rows and
> 140 columns.
>
> thanks
> Kei
>
> Sample_1_D Sample_1_C Sample_2_D Sample_2_C p-value
> 1 2.425509867 11.34031409 11.46868531 11.75741478 .00341111
>
> I tried something like this.
>
> t.test(data.sub,mu=0)
>
> I am pretty new to R. I think it is showing me the entire p-value.
>
>
>
> --
> View this message in context: http://www.nabble.com/Calculating-the-t-test-for-each-row-tp15808716p15808716.html
> Sent from the R help mailing list archive at Nabble.com.
>
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> and provide commented, minimal, self-contained, reproducible code.
>
--
Henrique Dallazuanna
Curitiba-Paran?-Brasil
25? 25' 40" S 49? 16' 22" O