On Mon, Feb 27, 2012 at 9:56 AM, mrzung <mrzun...@gmail.com> wrote:
> hi,
>
> I know how to use the "for" loop function like:
>
> for(i in 1:ncol(mat)){
> mat[i]<-b[i,2]
> }
>
> but, in this case
>
> r1<-b[1,1]
> r2<-b[2,1]
> r3<-b[3,1]
> r4<-b[4,1]
>
> *
> *
> *
>
> r3002<-b[3002,1]
> r3003<-b[3003,1]
>
> - must make vectors
>
> how should I make a efficient code for that?You shouldn't. There is no reason to do this. > > Is there anything in R like SAS MACRO function? No! -- Thank goodness! R is a programming language to begin with. Have you read "An Intro to R?' If not, why not? There are numerous resources available on CRAN to help you. Use them. > > Please help me. > Please first make an effort to help yourself. -- Bert > > > -- > View this message in context: > http://r.789695.n4.nabble.com/macro-function-tp4425446p4425446.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. -- Bert Gunter Genentech Nonclinical Biostatistics Internal Contact Info: Phone: 467-7374 Website: http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm ______________________________________________ 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.
