[R] Nagelkerke R2
Frank Harrell
f.harrell at vanderbilt.edu
Mon Mar 5 18:10:58 CET 2012
R^2 has nothing to do with helping with collinearity. You might also
entertain a true geospatial comprehensive model instead of doing 250 model
fits. There's probably a lot of background reading you need to do before
launching analyses. I assume you've had at least 4 stat courses, also.
Frank
Lucas wrote
>
> Dear R community.
>
> I´m working with a generalized linear model which the response variable is
> a categorical one and the predictive variables are weather conditions. I
> have 250 different places where I need to fit the model. In some of these
> places I have strong correlations between some of the variables so I need
> to deal with this problem.
>
> I found a work similar than mine where they use tha Nagelkerke R2
> coefficient of determination to deal with multicollinearity. Has anyone
> ever used this coefficient of determination in R? I need to know how to
> use
> it and interpreted in my work.
>
> If anyone can help me I´d really appreciate it.
>
> Greetings
>
> Lucas.
>
> [[alternative HTML version deleted]]
>
>
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> and provide commented, minimal, self-contained, reproducible code.
>
-----
Frank Harrell
Department of Biostatistics, Vanderbilt University
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