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A First Course in Statistical Programming with R

A First Course in Statistical Programming with R

A First Course in Statistical Programming with R
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A First Course in Statistical Programming with R Paperback - 2016

by Braun, W

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Cambridge University Press, 2016-09-29. Paperback. Good. Textbook, May Have Highlights, Notes and/or Underlining, BOOK ONLYNO ACCESS CODE, NO CD, Ships with Emailed Tracking
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Details

  • Title A First Course in Statistical Programming with R
  • Author Braun, W
  • Binding Paperback
  • Edition 2 Reprint
  • Condition Used - Good
  • Pages 230
  • Volumes 1
  • Language ENG
  • Publisher Cambridge University Press
  • Publication date 2016-09-29
  • Bookseller's Inventory # SKU0510345
  • ISBN 9781107576469 / 1107576466
  • Weight 1.15 lbs (0.52 kg)
  • Dimensions 9.72 x 7.48 x 0.39 in (24.69 x 19.00 x 0.99 cm)
  • Category Computers - General Information
  • Library of Congress subjects Statistics - Data processing, R (Computer program language)
  • Dewey Decimal Code 519.502
  • Quantity available 2

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Reader reviews for A First Course in Statistical Programming with R

From the publisher

This new color edition of Braun and Murdoch's bestselling textbook integrates use of the RStudio platform and adds discussion of newer graphics systems, extensive exploration of Markov chain Monte Carlo, expert advice on common error messages, motivating applications of matrix decompositions, and numerous new examples and exercises. This is the only introduction needed to start programming in R, the computing standard for analyzing data. Co-written by an R core team member and an established R author, this book comes with real R code that complies with the standards of the language. Unlike other introductory books on the R system, this book emphasizes programming, including the principles that apply to most computing languages, and techniques used to develop more complex projects. Solutions, datasets, and any errata are available from the book's website. The many examples, all from real applications, make it particularly useful for anyone working in practical data analysis.
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