Dear Christian,
An illustrative and simple example follows:
> y<-rnorm(100,0,1) #response variable
> x1<-rnorm(100,0,1) #1st covariate
> x2<-rnorm(100,0,1) #2nd covariate
>
> lm1<-lm(y~x1+x2) #fitting a linear model
> cbind(summary(lm1)$coef[,1],summary(lm1)$coef[,1]) # obtaining the
> estimates and related p-values
[,1] [,2]
(Intercept) -0.02997559 -0.02997559
x1 -0.06170968 -0.06170968
x2 -0.12740465 -0.12740465
Here, the 1st column corresponds tı the estimates and 2nd one correspnds to
the related p-values.
I think you can easily adapt this to your datasets and combine muliple
results of multiple datasets.
Best
Ozgur
-----
************************************
Ozgur ASAR
Research Assistant
Middle East Technical University
Department of Statistics
06531, Ankara Turkey
Ph: 90-312-2105309
http://www.stat.metu.edu.tr/people/assistants/ozgur/
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