[R] How to get F values for a Generalized Linear Model?
gunter.berton at gene.com
Tue Jan 15 18:17:48 CET 2013
On Tue, Jan 15, 2013 at 1:51 AM, Geraldine Werhahn <geriwer at yahoo.com> wrote:
> Dear All,
> I have fitted generalized linear models with the glm() function from the package lme4. The statistical values it returns are the z-value and the p-value. Now I am searching for a way to get the F-values for my models to use for reporting - as to my knowledge
Your knowledge is insufficient. Your expectations are incorrect.
Either consult someone locally who has sufficient statistical
expertise or do some studying of GLM's. As this is a statistics not an
R question, you might also wish to try posting to a statistics list
instead, like stats.stackexchange.com.
reporting z-values is not very useful and the F-values together with
the p-values would be desired for the report. I tried the commands
summary(model) , anova(model) noranova.glm(model), but couldnt get the
F-values that way.
> Is the command stat.anova(table, test = "F", scale, df.scale, n) the right choice? If yes, for this I need the 'residual mean square' to use as scale. But how to extract the 'residual mean square' out of my glm in R?
> I am very thankful for your comments and advice!
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> and provide commented, minimal, self-contained, reproducible code.
Genentech Nonclinical Biostatistics
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