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If you're new to the R language but keen to get started with linear modeling or logistic regression in the language, take a look at this "Introduction to R" PDF, by Princeton's Germán Rodríguez. (There's also a browsable HTML version.)

In a crisp 35 pages it begins by taking you through the basics of R: simple objects, importing data, and graphics. Then, it works through several examples of linear models (formula basics, fitting a model, model diagnostics, analysis of variance and even regression spones). Finally, there's a section on Generalized Linear Models, with a focus on logistic regression. The document doesn't attempt to explain all of the capabilities of R, but instead works through a series of examples to teach by demonstration. All of the datasets used in the guide are available online, so it's easy to follow along from home.