Hi,
-------- Original-Nachricht --------
> Datum: Mon, 21 Nov 2011 14:46:17 +0100
> Von: Uwe Ligges <lig...@statistik.tu-dortmund.de>
> An: Johannes Radinger <jradin...@gmx.at>
> CC: r-help@r-project.org
> Betreff: Re: [R] lm and loop over variables
>
>
> On 21.11.2011 13:34, Johannes Radinger wrote:
> > Hello,
> >
> > I think I am not to far from a solution. I want to do lm regressions
> with several variables which I define before in a list. What I've done so far
> is like:
> >
> > y<- c(1,5,6,2,5,10) # response
> > x1<- c(2,12,8,1,16,17) # predictor
> > x2<- c(2,14,5,1,17,17)
> > df<- data.frame(y,x1,x2)
> >
> > predictorlist<- list("x1","x2")
> >
> > for (i in predictor.list){
> > model<- lm(y ~ i,data=df)
> > summary(model)
> > }
>
> Sensible or not, to make the loop at least somehow work you need:
>
> for (i in predictorlist){
> model <- lm(paste("y ~", i[[1]]), data=df)
> print(summary(model))
> }
>
thanks... the paste function solved it!
>
> Uwe Ligges
>
>
>
> > But I don't know I have to pass the variable of the predictors?
> >
> > Does anyone know how to do that?
> >
> > /Johannes
> > --
> >
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