出版社: No Starch Press
副标题: A Tour of Statistical Software Design
出版年: 2011-10-12
页数: 400
定价: GBP 31.49
装帧: Paperback
ISBN: 9781593273842
内容简介 · · · · · ·
R is the world's most popular language for developing statistical software: Archaeologists use it to track the spread of ancient civilizations, drug companies use it to discover which medications are safe and effective, and actuaries use it to assess financial risks and keep economies running smoothly.
The Art of R Programming takes you on a guided tour of software development ...
R is the world's most popular language for developing statistical software: Archaeologists use it to track the spread of ancient civilizations, drug companies use it to discover which medications are safe and effective, and actuaries use it to assess financial risks and keep economies running smoothly.
The Art of R Programming takes you on a guided tour of software development with R, from basic types and data structures to advanced topics like closures, recursion, and anonymous functions. No statistical knowledge is required, and your programming skills can range from hobbyist to pro.
Along the way, you'll learn about functional and object-oriented programming, running mathematical simulations, and rearranging complex data into simpler, more useful formats. You'll also learn to:
- Create artful graphs to visualize complex data sets and functions
- Write more efficient code using parallel R and vectorization
- Interface R with C/C++ and Python for increased speed or functionality
- Find new R packages for text analysis, image manipulation, and more
- Squash annoying bugs with advanced debugging techniques
Whether you're designing aircraft, forecasting the weather, or you just need to tame your data, The Art of R Programming is your guide to harnessing the power of statistical computing.
作者简介 · · · · · ·
Norman Matloff is a professor of computer science (and was formerly a professor of statistics) at the University of California, Davis. His research interests include parallel processing and statistical regression, and he is the author of a number of widely-used Web tutorials on software development. He has written articles for the New York Times, the Washington Post, Forbes Mag...
Norman Matloff is a professor of computer science (and was formerly a professor of statistics) at the University of California, Davis. His research interests include parallel processing and statistical regression, and he is the author of a number of widely-used Web tutorials on software development. He has written articles for the New York Times, the Washington Post, Forbes Magazine, and the Los Angeles Times, and is the co-author of The Art of Debugging (No Starch Press).
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机械工业出版社 (2013)8.7分 283人读过
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0 有用 已注销 2013-07-20 09:53:26
LIKE: 1) It takes readers from non-programming background on a wide range of topics from data structures to parallel. Esp, vectorization is the core art of R. 2) Extended examples (functions) are very... LIKE: 1) It takes readers from non-programming background on a wide range of topics from data structures to parallel. Esp, vectorization is the core art of R. 2) Extended examples (functions) are very practical. UNLIKE: 1) No exercise at the end of each chapter. 2) Variable & function names aren't that readable. Lots of abbreviation involved. (展开)
0 有用 Loki 2014-08-17 22:14:10
大部分的 R 语言书,都是以图和例子为主。对于码农,这本书应该是最适合的,介绍清楚基本类型,很多东西一下子就清晰了
0 有用 理5打工人 2014-01-08 02:01:06
一个月读完了。里面的每章节都有扩展例子,不好读。这本书,是不是一本好的R入门书,我没办法判断。还是学到些东西,向下一本进发!
0 有用 Lo 2014-05-25 04:55:41
supplementary
0 有用 Michael 2013-11-29 03:48:43
还可以。一天看完。