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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
Stock photo: cover may vary

A First Course in Statistical Programming With R Hardback - 2010

by Braun, W. J. & Murdoch, D. J

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  • Paperback

Description

Cambridge University Press, 2010. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,500grams, ISBN:9780521872652
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Details

  • Title A First Course in Statistical Programming With R
  • Author Braun, W. J. & Murdoch, D. J
  • Binding Paperback
  • Edition This is a First
  • Pages 174
  • Volumes 1
  • Language ENG
  • Publisher Cambridge University Press, Singapore
  • Publication date 2010
  • Illustrated Yes
  • Bookseller's Inventory # 9025805
  • ISBN 9780521872652 / 0521872650
  • Weight 1.21 lbs (0.55 kg)
  • Dimensions 9.81 x 7.68 x 0.64 in (24.92 x 19.51 x 1.63 cm)
  • Category Mathematics
  • Library of Congress subjects Statistics - Data processing, R (Computer program language)
  • Dewey Decimal Code 519.502

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Reader reviews for A First Course in Statistical Programming With R

From the publisher

This is the only introduction you'll need to start programming in R, the open-source language that is free to download, and lets you adapt the source code for your own requirements. Co-written by one of the R Core Development Team, and by 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 ground-breaking R system, this book emphasizes programming, including the principles that apply to most computing languages, and techniques used to develop more complex projects. Learning the language is made easier by the frequent exercises and end-of-chapter reviews that help you progress confidently through the book. Solutions, datasets and any errata will be available from the book's web site. The many examples, all from real applications, make it particularly useful for anyone working in practical data analysis.
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