25 Recipes for Getting Started with R

Paul Teetor

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25 Recipes for Getting Started with R

Recipes for Getting Started with R 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 simp

  • Title: 25 Recipes for Getting Started with R
  • Author: Paul Teetor
  • ISBN: 9781449303235
  • Page: 354
  • Format: Paperback
  • 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, creaR 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 These solutions were selected from O Reilly s R Cookbook, which contains than 200 recipes for R that you ll find useful once you move beyond the basics.

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      Posted by:Paul Teetor
      Published :2018-07-17T12:40:03+00:00

    One thought on “25 Recipes for Getting Started with R

    1. Otto Hammersmith on said:

      Should have waited for the full book to come out, or gotten the Rough Cuts version and read that. This has some useful information, but about half the recipes you could gather from simple googling of the subject.

    2. Rob on said:

      Helpful for giving you an idea of what can be done with R and the mechanics of doing it. As described by the author, it is *not* a tutorial on R nor on statistics, but rather a desktop manual for the beginner who knows R and stats, and is trying to remember how to do something.

    3. Fizal on said:

      It was an ok book to get a quick overview on R. It expects the reader to have some statistical background like confidence interval for a mean/proportion, etc. This is not good book to start learning R.

    4. Sefa on said:

      Given the aim of the book and therefore its length, it is good enough to give an idea what you can do with R.

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