Ongratulations on deciding to learn the R programming language. Learning R will give you a whole new set of tools with which to manipulate, analyze, compare, and view data. R is designed primarily for use in statistics, but it is useful regardless of which scientific discipline you are pursuing.
As the data sets used in all scientific disciplines get ever larger it is becoming increasingly more critical for scientists to be knowledgeable about how to use high-level programming languages such as R, which allow for easy and intuitive use. I have titled this manual-The Undergraduate Guide to R‖ because I want to emphasize that R is a skill that should be learned early in the modern student‘s career. Of course, however, I hope that this manual is useful to everyone who is just starting to use R, undergraduate or not.
This manual is designed so that no prior knowledge of programming is required or assumed (although rudimentary knowledge of general computer skills and statistics is a must). Thus, it may seem overly simple to many and I would highly recommend that those of you who find yourselves in this situation look at Section 12: Further Resources for more advanced manuals.
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