Then you can try:

rownames(data.matrix) <- as.character(data.matrix$ProbeID)
data.matrix <- data.matrix[-1]

as.matrix(apply(data.matrix1, 1, var))

or

out <- apply(data.matrix1, 1, var)
data.frame(ProbeID = names(out), Variance = unname(out))

Works for me


On 02/03/2008, Keizer_71 <[EMAIL PROTECTED]> wrote:
>
> Hi Henrique,
>
> It is definitely better, but it doesn't show me the ProbeID which identify
> the probes name
>
> Here was the result when i export to excel with your code.
>
>  "Variance"   
> 1 2.425509867 21.6216446425273        
>
>
> any suggestions?
>
> thanks,
> Kei
>
>
> Keizer_71 wrote:
> >
> > Hello,
> >
> > Thanks everyone for helping me with the previous queries.
> >
> > step 1: Here is the orginal data: short sample
> >
> >     ProbeID     Sample_1_D  Sample_1_C    Sample_2_D           Sample_2_C
> > 1   224588_at   2.425509867 11.34031409   11.46868531          11.75741478
> >
> > step 2: i calculate the variance of the sample using this R code
> >
> > x<-1:20000
> > y<-2:141
> > data.matrix<-data.matrix(data[,y])#create data.matrix
> > variableprobe<-apply(data.matrix[x,],1,var)
> >
> > step 3: however, when i type in variableprobe, it gives me this.
> >
> > 1   21.58257457
> >
> > step 4: I need the code to output this:
> >
> >     ProbeID     Variance    
> > 1   224588_at   21.58257457
> >
> >
> > What do i need to do to modify the code to give me better description like
> > the one above?
> >
> > thank.
> > Keizer
> >     
> >
> >
> >
>
> --
> View this message in context:
> http://www.nabble.com/Variance-Calculation-in-R-tp15790621p15791115.html
> Sent from the R help mailing list archive at Nabble.com.
>
> ______________________________________________
> R-help@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.
>


-- 
Henrique Dallazuanna
Curitiba-Paraná-Brasil
25° 25' 40" S 49° 16' 22" O

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