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Learning R
Learning R
Knygos.lt klubas Knygos.lt nariams
55,85 €
-30%
Įprastai
79,79 €
  • Išsiųsime per 12–18 d.d.
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, youâ 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 yo…
  • Leidėjas:
  • Metai: 2013
  • Puslapiai: 400
  • ISBN-10: 1449357105
  • ISBN-13: 9781449357108
  • Formatas: 18 x 23.3 x 2.1 cm, minkšti viršeliai
  • Kalba: Anglų

Learning R (el. knyga) (skaityta knyga) | Richard Cotton | knygos.lt

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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, youâ 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 youâ 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
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  • Autorius: Richard Cotton
  • Leidėjas:
  • Metai: 2013
  • Puslapiai: 400
  • ISBN-10: 1449357105
  • ISBN-13: 9781449357108
  • Formatas: 18 x 23.3 x 2.1 cm, minkšti viršeliai
  • Kalba: Anglų

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, youâ 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 youâ 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

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