Hi,
for example one could do it this way:
v <- summary(fit)$coefficients[,4]
the coefficient attribute is a matrix, and with the "4" you refere to the
pvalue (at least in lm - don't know if summary(glm) produces sligthely
different output).
to skip the intercept (1st row): v <- summary(glmfit)$coefficients[-1,4]
hope this helps,
Arne
--
Arne Muller, Ph.D.
Toxicogenomics, Aventis Pharma
arne dot muller domain=aventis com
> -----Original Message-----
> From: [EMAIL PROTECTED]
> [mailto:[EMAIL PROTECTED] Behalf Of Roy Sanderson
> Sent: 06 April 2004 14:36
> To: [EMAIL PROTECTED]
> Subject: [R] Storing p-values from a glm
>
>
> Hello
>
> I need to store the P-statistics from a number of glm
> objects. Whilst it's
> easy to display these on screen via the summary() function,
> I'm not clear
> on how to extract the P-values and store them in a vector.
>
> Many thanks
> Roy
>
> --------------------------------------------------------------
> --------------
> Roy Sanderson
> Centre for Life Sciences Modelling
> Porter Building
> University of Newcastle
> Newcastle upon Tyne
> NE1 7RU
> United Kingdom
>
> Tel: +44 191 222 7789
>
> [EMAIL PROTECTED]
> http://www.ncl.ac.uk/clsm
>
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