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2011-02-24
Product DescriptionR is a powerful tool for statistics and graphics, but getting started with this language can be frustrating. This short, concise book provides beginners with a selection of how-to recipes to solve simple problems with R. Each solution gives you just what you need to know to use R for basic statistics, graphics, and regression.
You'll find recipes on reading data files, creating data frames, computing basic statistics, testing means and correlations, creating a scatter plot, performing simple linear regression, and many more. These solutions were selected from O'Reilly's R Cookbook, which contains more than 200 recipes for R that you'll find useful once you move beyond the basics.



About the AuthorPaul Teetor is a quantitative developer with Masters degrees in statistics and computer science. He specializes in analytics and software engineering for investment management, securities trading, and risk management. He works with hedge funds, market makers, and portfolio managers in the greater Chicago area.


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25 Recipes for Getting Started with R.PDF

大小:1.11 MB

只需: 2 个论坛币  马上下载

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2011-2-24 16:11:47
比我还快,你真行:-)
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2011-2-24 17:29:16
楼主一伙真强大!
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2011-2-24 23:04:09
yizhengchina 发表于 2011-2-24 16:11
比我还快,你真行:-)
呵呵,客气客气。。。
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2011-2-24 23:51:18
就是i就是这么快!
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2011-2-25 09:46:53
aimms 发表于 2011-2-24 15:12
Product DescriptionR is a powerful tool for statistics and graphics, but getting started with this language can be frustrating. This short, concise book provides beginners with a selection of how-to recipes to solve simple problems with R. Each solution gives you just what you need to know to use R for basic statistics, graphics, and regression.
You'll find recipes on reading data files, creating data frames, computing basic statistics, testing means and correlations, creating a scatter plot, performing simple linear regression, and many more. These solutions were selected from O'Reilly's R Cookbook, which contains more than 200 recipes for R that you'll find useful once you move beyond the basics.



About the AuthorPaul Teetor is a quantitative developer with Masters degrees in statistics and computer science. He specializes in analytics and software engineering for investment management, securities trading, and risk management. He works with hedge funds, market makers, and portfolio managers in the greater Chicago area.


不错不错!
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