Re: [R] regression for several responses

[Spencer Graves]

Consider the following:

> tstdat <- data.frame(x=1:8, y1=rep(1:4, each=2), y2=0.01*rnorm(8))
>
> ys <- names(tstdat)[2:3]
>
> slopes <- rep(NA,2)
> names(slopes) <- ys
>
> for(i in 1:2){
+  mdl <- formula(paste(ys[i], "~ x"))
+  slopes[i] <- coef(lm(mdl, tstdat))[2]
+ }
> slopes
          y1           y2
0.4761904762 0.0006521472
Is this what you want?

This could also be done with sapply.

hth.  spencer graves

Martin Wegmann wrote:
hello, 

I only want to get the slope of a linear regression of ca. 100 variables 
against time. 

I can do for each response (100 times)
var1.lm <- lm(response~predictor)
but I thought that there might be an easier way of doing this. If I am 
including more variables it is doing a multiple regression and the output 
(slope) differs. 
 
any idea?

thanks Martin

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