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25 Recipes for Getting Started with R
Paul Teetor
€ 22.20
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Description for 25 Recipes for Getting Started with R
Paperback. 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 get started with R for basic statistics, graphics, and regression. Num Pages: 62 pages, black & white illustrations. BIC Classification: UY. Category: (XV) Technical / Manuals. Dimension: 230 x 177 x 5. Weight in Grams: 120.
R 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 ... Read more
R 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 ... Read more
Product Details
Format
Paperback
Publication date
2011
Publisher
O´Reilly Media
Condition
New
Number of Pages
62
Place of Publication
Sebastopol, United States
ISBN
9781449303235
SKU
V9781449303235
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-1
About Paul Teetor
Paul 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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