lm and loop over variables

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)
}

But I don't know I have to pass the variable of the predictors?

Does anyone know how to do that?

/Johannes
--

Datum: Mon, 21 Nov 2011 14:46:17 +0100
Von: Uwe Ligges <ligges at statistik.tu-dortmund.de>
An: Johannes Radinger <JRadinger at gmx.at>
CC: r-help at 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))
}

Uwe Ligges

But I don't know I have to pass the variable of the predictors?

Does anyone know how to do that?

/Johannes
--