thanks for your response. How do i install it? I try looking at the manual it doesn't seem indicate any installation instruction. I also download a windows version but it doesn't have an exe file.
http://cran.r-project.org/web/packages/xlsReadWrite/index.html Newbie, Kei On 3/3/08, Wensui Liu <[EMAIL PROTECTED]> wrote: > > hi, > did you try write.xls in xlsReadWrite package? > > > On Sun, Mar 2, 2008 at 9:59 PM, Keizer_71 <[EMAIL PROTECTED]> wrote: > > > > Here is my R Code > > > > x<-1:20000 > > y<-2:141 > > data.matrix<-data.matrix(data[,y])#create data.matrix > > variableprobe<-apply(data.matrix[x,],1,var) > > variableprobe #output variance across probesets > > hist(variableprobe) #displaying histogram of variableprobe > > write.table(cbind(data[1], > > Variance=apply(data[,y],1,var)),file='c://variance.csv') > > #export as a .csv file. > > > > Output in Excel > > all in 1 column. > > > > ProbeID "Variance" > > 1 "224588_at" 21.5825745738848 > > > > How do i separate them so that i can have three columns > > > > ProbeID Variance > > 1 224588_at 21.582..... > > > > thanks, > > Kei > > > > > > -- > > View this message in context: > http://www.nabble.com/R-data-Export-to-Excel-tp15796903p15796903.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. > > > > > > -- > =============================== > WenSui Liu > ChoicePoint Precision Marketing > Phone: 678-893-9457 > Email : [EMAIL PROTECTED] > Blog : statcompute.spaces.live.com > =============================== > -- Christophe Lo (078) 8275 7029 [EMAIL PROTECTED] [[alternative HTML version deleted]] ______________________________________________ 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.
