Learning R

Edition en anglais

  • O'Reilly Media

  • Paru le : 09/09/2013
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Learn how to perform data analysis with the R language and software environment, even if you have little or no programming experience. With the tutorials... > Lire la suite
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Learn how to perform data analysis with the R language and software environment, even if you have little or no programming experience. With the tutorials in this hands-on guide, you'll learn how to use the essential R tools you need to know to analyze data, including data types and programming concepts. The second half of Learning R shows you real data analysis in action by covering everything from importing data to publishing your results.
Each chapter in the book includes a quiz on what you've learned, and concludes with exercises, most of which involve writing R code. - Write a simple R program, and discover what the language can do - Use data types such as vectors, arrays, lists, data frames, and strings - Execute code conditionally or repeatedly with branches and loops - Apply R add-on packages, and package your own work for others - Learn how to clean data you import from a variety of sources - Understand data through visualization and summary statistics - Use statistical models to pass quantitative judgments about data and make predictions - Learn what to do when things go wrong while writing data analysis code
  • Date de parution : 09/09/2013
  • Editeur : O'Reilly Media
  • ISBN : 978-1-4493-5709-2
  • EAN : 9781449357092
  • Format : Multi-format
  • Nb. de pages : 400 pages
  • Caractéristiques du format Multi-format
    • Pages : 400
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Biographie de Richard Cotton

Richie is a data scientist with a background in chemical health and safety, and has worked extensively on tools to give non-technical users access to statistical models. He is the author of the R packages "assertive" for checking the state of your variables and "sig" to make sure your functions have a sensible API. He runs The Damned Liars statistics consultancy.

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