000 | 01569nam a2200181Ia 4500 | ||
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005 | 20250210114822.0 | ||
008 | 240411s9999||||xx |||||||||||||| ||und|| | ||
020 |
_c550.00 _a978-1449312084 |
||
040 | _aSCA | ||
082 |
_a519.502 _bJOS |
||
100 | _aAlder Joseph | ||
245 | 0 | _aR in a Nutshell: A Desktop Quick Reference | |
250 | _a1st. Edn. | ||
260 |
_aNew Delhi _bSPD _c2009 |
||
300 | _a628p. | ||
500 | _aIf you're considering R for statistical computing and data visualization, this book provides a quick and practical guide to just about everything you can do with the open source R language and software environment. You'll learn how to write R functions and use R packages to help you prepare, visualize, and analyze data. Author Joseph Adler illustrates each process with a wealth of examples from medicine, business, and sports. Updated for R 2.14 and 2.15, this second edition includes new and expanded chapters on R performance, the ggplot2 data visualization package, and parallel R computing with Hadoop. Get started quickly with an R tutorial and hundreds of examples Explore R syntax, objects, and other language details Find thousands of user-contributed R packages online, including Bioconductor Learn how to use R to prepare data for analysis Visualize your data with R's graphics, lattice, and ggplot2 packages Use R to calculate statistical fests, fit models, and compute probability distributions Speed up intensive computations by writing parallel R programs for Hadoop Get a complete desktop reference to R | ||
942 | _cBK | ||
999 |
_c49082 _d49082 |