Introduction to Statistical Learning with Applications in R was a really easy to follow introductory text that covers GLM's and as the title suggests comes with problem sets and example code in R. I learned a lot from going through that book.

If you feel comfortable with Linear Algebra Elements of Statistical Learning covers that same material in more detail, and many other topics as well, but it doesn't have the same kind of easy to follow tutorial style R examples in the chapters.