[R] effect size

[Liaw, Andy]

>From help(relimp, package="relimp"):

Details:

     If 'set1' and 'set2' both have length 1, relative importance is
     measured by the ratio of the two standardized coefficients.
     Equivalently this is the ratio of the standard deviations of the
     two contributions to the linear predictor, and this provides the
     generalization to comparing two sets rather than just a pair of
     predictors.

Doesn't look like what David want (he's not comparing factor to factor).

Andy

> From: Andrew Robinson [mailto:andrewr at uidaho.edu] 
> 
> Thinking about effect sizes, a plausible alternative may be 
> found in the 
> relimp package.   
> 
> From CRAN:  relimp: Relative Contribution of Effects in a 
> Regression Model
> 
> Functions to facilitate inference on the relative importance 
> of predictors in 
> a linear or generalized linear model
>     Version:	0.8-2
>     Depends:	R (>= 1.8.0), tcltk, MASS
>     Author:	David Firth
>     Maintainer:	David Firth <d.firth at warwick.ac.uk>
>     License:	GPL (version 2 or later)
> URL:		http://www.warwick.ac.uk/go/relimp
> 		http://www.warwick.ac.uk/go/dfirth
> 
> Andrew
> -- 
> Andrew Robinson                      Ph: 208 885 7115
> Department of Forest Resources       Fa: 208 885 6226
> University of Idaho                  E : andrewr at uidaho.edu
> PO Box 441133                        W : 
> http://www.uidaho.edu/~andrewr
> Moscow ID 83843                
>       Or: http://www.biometrics.uidaho.edu
> No statement above necessarily represents my employer's opinion.
> 
> 
> 


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