Re: [R] R-squared and GLM
Haha, true true! ;) It was to be used as a measure on how good the models I use are, but I found out that the AIC would be much easier to implement, and as I understand, a better measure of how good the model fit. Thanks, Chris -- View this message in context: http://r.789695.n4.nabble.com/R-squared-and-GLM-tp4671754p4671820.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.
Re: [R] R-squared and GLM
On 18/07/13 02:36, Chris89 wrote: Dear users, I want to compute r-squared values from a glm regression using a gamma distribution and an "identity" link-function, but find no such thing when using the summary() or names() function. My next guess was to calculate it by "hand", i.e. r2 = (sum((estimate - xbar)^2) /sum((x-xbar)^2)) but I am unsure if this is even allowed... Who is going to disallow you? It's a free country. (I refer to Norway of course; freer than most countries, in my understanding.) But since you are maximizing a likelihood based on the Gamma distribution, rather than doing least squares, what exactly is the relevance of R-squared anyway? cheers, Rolf Turner __ 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.
[R] R-squared and GLM
Dear users, I want to compute r-squared values from a glm regression using a gamma distribution and an "identity" link-function, but find no such thing when using the summary() or names() function. My next guess was to calculate it by "hand", i.e. r2 = (sum((estimate - xbar)^2) /sum((x-xbar)^2)) but I am unsure if this is even allowed... Chris -- View this message in context: http://r.789695.n4.nabble.com/R-squared-and-GLM-tp4671754.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.
