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25 Recipes for Getting Started with R
25 Recipes for Getting Started with R
Knygos.lt klubas Knygos.lt nariams
28,76 €
-30%
Įprastai
41,09 €
  • Išsiųsime per 12–18 d.d.
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 lin…
  • Leidėjas:
  • ISBN-10: 1449303234
  • ISBN-13: 9781449303235
  • Formatas: 17.3 x 22.9 x 1 cm, minkšti viršeliai
  • Kalba: Anglų

25 Recipes for Getting Started with R (el. knyga) (skaityta knyga) | knygos.lt

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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 you'll find useful once you move beyond the basics.

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  • Autorius: Paul Teetor
  • Leidėjas:
  • ISBN-10: 1449303234
  • ISBN-13: 9781449303235
  • Formatas: 17.3 x 22.9 x 1 cm, minkšti viršeliai
  • Kalba: Anglų

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 you'll find useful once you move beyond the basics.

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