Please note: In order to keep Hive up to date and provide users with the best features, we are no longer able to fully support Internet Explorer. The site is still available to you, however some sections of the site may appear broken. We would encourage you to move to a more modern browser like Firefox, Edge or Chrome in order to experience the site fully.

A First Course in Statistical Programming with R, Paperback / softback Book

A First Course in Statistical Programming with R Paperback / softback

Paperback / softback

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.

Information

Other Formats

£34.99

 
Free Home Delivery

on all orders

 
Pick up orders

from local bookshops

Information