Calculating the t-test for each row

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.



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