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 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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