[R] type III effect from glm()
mark_difford at yahoo.co.uk
Thu Feb 19 13:23:26 CET 2009
>> I want to know if yrs (a continuous variable) has a significant unique
>> effect in the model,
>> so I fit a simplified model with the main effect ommitted...
[A different approach...] This is not really a sensible question until you
have established that there is no significant interaction between "yrs" and
"district." If this interaction is significant then, ipso facto, the effect
of "yrs" is not unique but depends on "district." So establish that first.
There is a good section on marginality in MASS (Venables & Ripley) and, as
Mark has mentioned, in Prof Fox's texts. From what I can remember, some of
these tests are reparametrized behind the scenes to enforce the marginality
Simon Pickett-4 wrote:
> Hi all,
> This could be naivety/stupidity on my part rather than a problem with
> model output, but here goes....
> I have fitted a fairly simple model
> I want to know if yrs (a continuous variable) has a significant unique
> effect in the model, so I fit a simplified model with the main effect
> then compare models using anova()
> Analysis of Deviance Table
> Model 1: count ~ siteall + yrs + yrs:district
> Model 2: count ~ siteall + yrs:district
> Resid. Df Resid. Dev Df Deviance F Pr(>F)
> 1 1936 75913
> 2 1936 75913 0 0
> The d.f.'s are exactly the same, is this right? Can I only test the
> significance of a main effect when it is not in an interaction?
> Thanks in advance,
> Dr. Simon Pickett
> Research Ecologist
> Land Use Department
> Terrestrial Unit
> British Trust for Ornithology
> The Nunnery
> [[alternative HTML version deleted]]
> R-help at r-project.org mailing list
> PLEASE do read the posting guide
> and provide commented, minimal, self-contained, reproducible code.
View this message in context: http://www.nabble.com/type-III-effect-from-glm%28%29-tp22097773p22099331.html
Sent from the R help mailing list archive at Nabble.com.
More information about the R-help