mydf <- data.frame(x1=rnorm(100), x2=rnorm(100), x3=rnorm(100))
mydf$y <- 0.5 * mydf$x1 + 3 * mydf$x3 + rnorm(100)
fit <- glm( y ~ . , data=mydf )
coefficients( summary(fit) )
Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.2385855 0.2541498 -0.9387593 3.502103e-01
x1 0.6956811 0.1330900 5.2271462 1.003295e-06
x2 0.1313823 0.1417679 0.9267420 3.563846e-01
x3 2.7986410 0.4531338 6.1761919 1.576173e-08
On Fri, 2005-09-02 at 18:36 +0200, Joost van Evert wrote:
> Dear list,
>
> does anyone know how to get p-values on the coefficients returned by
> glm?
>
> thanks+greets,
> Joost
>
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