If I'm not mistaken, partial R-squared is the R^2 of the quantities plotted in a partial residual plot, so you can base the computation on that. Prof. Fox's `car' package on CRAN has a function for creating those plots, but you need to figure out the way to extract the quantities being plotted.
[In any case, the basic tools for doing such computations are all in R, and it shouldn't be hard at all to cook up such a thing, starting from the formula. Writing a function that works on any conceivable models that can be fitted with lm() would be a bit more challenging, but I doubt you need that.] HTH, Andy > From: Dr Carbon > > After the deafening silence from my last post (which likely caused > shudders of disgust in statistics departments on the six continents) > I'll reformulate: > > Is there a function that will return the coefficients of partial > determination for the independent variables in a lm (or glm). For y = > x1 + x2....xn can I use R to extract the partial rsq for x1 to n? > > I am, and remain, with Admiration, etc. etc., at your Bidding, > DC > > ______________________________________________ > [email protected] mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! > http://www.R-project.org/posting-guide.html > > > ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
