# The art of R programming

**Research tips » R**, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)

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This is a gem of a book. It will become the book I give PhD students when they are learning how to write good R code. That is, if I ever see it again. I had hoped to write a review of it, but I haven’t seen it since it arrived in the mail a couple of weeks ago because a research student or research assistant has always had it on loan. I guess that’s a testament to how useful it is.

So instead of a review, here is the table of contents to give the flavour of what it covers:

Introduction | |

1. | Getting Started |

2. | Vectors |

3. | Matrices and arrays |

4. | Lists |

5. | Data frames |

6. | Factors and tables |

7. | R programming structures |

8. | Doing math and simulations in R |

9. | Object-oriented programming |

10. | Input/output |

11. | String manipulation |

12. | Graphics |

13. | Debugging |

14. | Performance enhancement: speed and memory |

15. | Interfacing R to other languages |

16. | Parallel R |

A. | Installing R |

B. | Installing and using packages |

Other people have reviewed the book including Joseph Rickert, Nathan Yau and Bryan Bell, as well as a few people on Amazon (with ten 5-star reviews to date!).

At less then $25, you have little to lose — head over to Amazon and buy a copy now! If a few of my PhD students buy their own copies, I might get mine back.

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