Binding: Paperback
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 ggplot 2, 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.
Title: A First Course In Statistical Programming With R
Author(s): Murdoch Duncan J. (University Of Western Ontario)
Publisher: Cambridge University Press
Barcode: 9781108995146
Pages: 280 Pages, Worked Examples Or Exercises
Publication Date: 7/8/2021
Category: Mathematical & Statistical Software