Displaying 2 results from an estimated 2 matches for "age_ord".
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age_obs
1999 May 04
1
surrogate poisson models
...nables & Ripley (7.3
pp238-42).
>overall_cbind(expand.grid(treatment=c("Pema","control"),age=c("young","adult","old"),repair=c("excellent","good","poor")),Fr=c(8,0,7,1,2,0,2,7,1,4,7,1,
0,3,2,5,1,9))
>overall$age_ordered(overall$age,levels=c("young","adult","old"))
>overall$repair_ordered(overall$repair,levels=c("poor","good","excellent"))
>overall.lm1_glm(terms(Fr~treatment*age+(treatment+age)*repair,
keep.order=T),family=poisson,data=overall)
&...
1999 May 05
1
Ordered factors , was: surrogate poisson models
....42406
> > age.L.repair.Q -0.04208 0.42881 -0.098 0.92183
> > age.Q.repair.Q -0.64314 0.42800 -1.503 0.13293
> > - ---
>
> >
> > How do you interpret the suffixes .L and .Q in the
> summary? I tried
> > redefining overall$age_ordered(.... labels=c(...)), to no
> avail. When the
> > factors are unordered, the suffixes are the labels, but the
> fitted model is
> > different.
>
> For an ordered factor polynomial contrasts are used by
> default (this can
> be set with options(contrasts=)). Pol...