Message-ID: <CACk-te3fh1VsgYoUn5RgupexdvQDPGgMGTpyhhaDHegh-BKHRQ@mail.gmail.com>
Date: 2012-02-27T18:51:22Z
From: Bert Gunter
Subject: macro function
In-Reply-To: <1330365381976-4425446.post@n4.nabble.com>
On Mon, Feb 27, 2012 at 9:56 AM, mrzung <mrzung46 at 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.
>
> ______________________________________________
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> 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