In practices, it is not easy to make such decision. One example is size of social ties in social network study. It is very common to use OLS thought it is count variable rather than normal. I think AIC is suggestive as well.
Ronggui 2009/8/2 Alain Zuur <highs...@highstat.com>: > > > > Mark Na wrote: >> >> Dear R-helpers, >> I would like to compare the fit of two models, one of which I fit using >> lm() >> and the other using glm(family=poisson). The latter doesn't provide >> r-squared, so I wonder how to go about comparing these >> models (they have the same formula). >> >> Thanks very much, >> >> Mark Na >> >> [[alternative HTML version deleted]] >> >> ______________________________________________ >> R-help@r-project.org mailing list >> 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. >> >> > > > The decision which distribution to use (Normal versus Poisson) should be an > a priori choice. If you really want to compare them, then inspect the > residuals of both models and see which model doesn't have any residual > patterns. > > Alain > > ----- > -------------------------------------------------------------------- > Dr. Alain F. Zuur > First author of: > > 1. Analysing Ecological Data (2007). > Zuur, AF, Ieno, EN and Smith, GM. Springer. 680 p. > > 2. Mixed effects models and extensions in ecology with R. (2009). > Zuur, AF, Ieno, EN, Walker, N, Saveliev, AA, and Smith, GM. Springer. > > 3. A Beginner's Guide to R (2009). > Zuur, AF, Ieno, EN, Meesters, EHWG. Springer > > > Statistical consultancy, courses, data analysis and software > Highland Statistics Ltd. > 6 Laverock road > UK - AB41 6FN Newburgh > Email: highs...@highstat.com > URL: www.highstat.com > > > > -- > View this message in context: > http://www.nabble.com/Compare-lm%28%29-to-glm%28family%3Dpoisson%29-tp24764558p24772802.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > R-help@r-project.org mailing list > 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. > -- HUANG Ronggui, Wincent PhD Candidate Dept of Public and Social Administration City University of Hong Kong Home page: http://asrr.r-forge.r-project.org/rghuang.html ______________________________________________ R-help@r-project.org mailing list 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.
