[R] Comparison: glm() vs. bigglm()

Hi, Until now, I thought that the results of glm() and bigglm() would coincide. Probably a naive assumption? Anyways, I've been using bigglm() on some datasets I have available. One of the sets has 15M observations. I have 3 continuous predictors (A, B, C) and a binary outcome (Y). And

Re: [R] Comparison: glm() vs. bigglm()

Benilton Carvalho wrote: Hi, Until now, I thought that the results of glm() and bigglm() would coincide. Probably a naive assumption? Anyways, I've been using bigglm() on some datasets I have available. One of the sets has 15M observations. I have 3 continuous predictors (A, B, C) and

Re: [R] Comparison: glm() vs. bigglm()

Hi Peter, thank you very much for your feedback. As for your observations, I do realize that I'm using 1.5 chunks for this particular case (10e6 gives around 8 chunks on other sets). I just noticed that I didn't add the difference in the deviances that I observed: m1$deviance-m2$deviance