> dat<-array(runif(30),c(15,2));
> dat<-data.frame(x=dat[,1],y=dat[,2]);
> linm<-lm(y~x,data=dat);
> linm.s<-summary(linm);
> attributes(linm.s) #to see all attributes of the summary
$names
[1] "call" "terms" "residuals" "coefficients"
[5] "aliased" "sigma" "df" "r.squared"
[9] "adj.r.squared" "fstatistic" "cov.unscaled"
$class
[1] "summary.lm"
> linm.s$coefficients # that's the variable you're looking for, right?
Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.6132455 0.1907463 3.214980 0.006769529
x -0.3648345 0.3134967 -1.163759 0.265436835
thanks
y
Daphne Renault wrote:
>
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-----
Yasir H. Kaheil
Catchment Research Facility
The University of Western Ontario
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