Non-Fiction Books:

A First Course in Statistical Programming with R

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A First Course in Statistical Programming with R by W. John Braun
$108.00

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Description

This third edition of Braun and Murdoch's bestselling textbook now includes discussion of the use and design principles of the tidyverse packages in R, including expanded coverage of ggplot2, and R Markdown. The expanded simulation chapter introduces the Box-Muller and Metropolis-Hastings algorithms. New examples and exercises have been added throughout. This is the only introduction you'll need to start programming in R, the computing standard for analyzing data. This book comes with real R code that teaches the standards of the language. Unlike other introductory books on the R system, this book emphasizes portable programming skills that apply to most computing languages and techniques used to develop more complex projects. Solutions, datasets, and any errata are available from www.statprogr.science. Worked examples - from real applications - hundreds of exercises, and downloadable code, datasets, and solutions make a complete package for anyone working in or learning practical data science.

Author Biography

W. John Braun is Professor of Statistics at UBC's Okanagan campus. His research interests are in the modeling of environmental phenomena, such as wildfire, as well as statistical education, particularly as it relates to the R programming language. Duncan J. Murdoch is a Professor Emeritus and was a member of the R Core Team of developers and co-president of the R Foundation. He is one of the developers of the rgl package for 3D visualization in R, and has also developed numerous other R packages.
Release date NZ
May 20th, 2021
Audiences
  • Professional & Vocational
  • Tertiary Education (US: College)
Country of Publication
United Kingdom
Edition
3rd Revised edition
Illustrations
Worked examples or Exercises
Imprint
Cambridge University Press
Pages
280
Dimensions
188x245x15
ISBN-13
9781108995146
Product ID
34343295

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