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

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

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.

Murdoch, Duncan J.: - 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.

SKU	Unavailable
ISBN 13	9781108995146
ISBN 10	1108995144
Title	A First Course in Statistical Programming with R
Author	W John Braun
Condition	Unavailable
Binding Type	Paperback
Publisher	Cambridge University Press
Year published	2021-05-20
Number of pages	280
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.