Now that you've got a good sense of how to 'speak' R, let's use it with linear regression to make distinctive predictions.

R is a free computing and graphical software/environment for statistical analysis. Part III of this short course consists of 3 sections: Section 5 introduces the concept of generalized linear models.

Because the R²s are designed broadly for any model for correlated data, I also compared R²s for linear mixed models and generalized linear mixed models. R r e s i d 2 , R p r e d 2 , and R l i k 2 all ...