From: Keizer_71 <christophe.lo_at_gmail.com>

Date: Mon, 03 Mar 2008 09:16:37 -0800 (PST)

data_output<-write.table(data.sub, file = "c://data_output.csv", sep = ",", col.names = NA)

Date: Mon, 03 Mar 2008 09:16:37 -0800 (PST)

##########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. ______________________________________________ R-help_at_r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.Received on Mon 03 Mar 2008 - 17:26:27 GMT

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