Re: [R] Compare lm() to glm(family=poisson)

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:

Re: [R] Compare lm() to glm(family=poisson)

Mark Na mtb954 at gmail.com writes: 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).

Re: [R] Compare lm() to glm(family=poisson)

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

[R] Compare lm() to glm(family=poisson)

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

Re: [R] Compare lm() to glm(family=poisson)

i don't understand how you can fit a poisson model with lm() function. otherwise, how could you compare lm() with glm(...family=poisson)? On Fri, Jul 31, 2009 at 7:41 PM, Mark Namtb...@gmail.com wrote: Dear R-helpers, I would like to compare the fit of two models, one of which I fit using lm()