A First Course in Statistical Programming with R
Author: W. John Braun
Publisher finelybook 出版社: Cambridge University Press; 3rd edition (July 8, 2021)
Language 语言: English
Print Length 页数: 280 pages
ISBN-10: 1108995144
ISBN-13: 9781108995146
Book Description
By finelybook
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 http://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.
