A First Course in Statistical Programming with R

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 BoxMuller and MetropolisHastings 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 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.