... As this concerns gene expression, perhaps the Bioconductor list might be more appropriate. As it is prmarily statistics, not R programming, maybe stats.stackexchange.com might be a better venue. You might also be better off contacting the package maintainers (?maintainer) for such package-specific questions.
-- Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Fri, Jun 2, 2017 at 7:22 AM, Aanchal Sharma <aanchalsharma...@gmail.com> wrote: > Hi All, > > I am running a generalized linear model with gamma distribution in R (glm, > family=gamma ) for my data (gene expression as response variable and few > predictors). I want to calculate r-squared for this model. > > I have been reading online about it and found there are multiple formulas > for calculating R2 (psuedo) for glm (in R) with gaussian (r2 from linear > model), logistic regression (1-deviance/null deviance), poisson > distribution (using pR2 in pscl package, D-squared value from modEvA R > package). But I could not find anything specific to gamma distributions. > > Can pscl and modEVA packages be used for gamma distributions as well? or > there is any other formula for doing the same? > > Thanks > > Regards, > > Anchal > > -- > Anchal Sharma, PhD > Postdoctoral Fellow > 195, Little Albany street, > Cancer Institute of New Jersey > Rutgers University > NJ-08901 > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.