R help - Nov 2011 - 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
--

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
> --
>
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