BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

A First Course in Statistical Programming with R

A First Course in Statistical Programming with R

A First Course in Statistical Programming with R Paperback - 2021

by W. John Braun

Add to wish list
  • New
  • Paperback
New

Description

Paperback. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; This book is for students who are learning computing to use in data science and scientific applications. It takes the reader from basic principles of computing to numerical methods, using the R programming language. Worked examples, hun
Ask the seller a question Add to wish list
A$88.55
A$15.26 Delivery to USA
Standard delivery: 7 to 12 days
More delivery options
Ships from Ria Christie Collections (Greater London, United Kingdom)
The BIBLIO Guarantee

Details

  • Title A First Course in Statistical Programming with R
  • Author W. John Braun
  • Binding Paperback
  • Condition New
  • Pages 280
  • Volumes 1
  • Language ENG
  • Publisher Cambridge University Press
  • Publication date 2021-05-20
  • Features Index
  • Bookseller's Inventory # ria9781108995146_inp
  • ISBN 9781108995146 / 1108995144
  • Weight 1.3 lbs (0.59 kg)
  • Dimensions 9.5 x 7.8 x 0.5 in (24.13 x 19.81 x 1.27 cm)
  • Category Mathematics
  • Library of Congress subjects Statistics, Statistics - Data processing
  • Dewey Decimal Code 519.502
  • Quantity available 199

About Ria Christie Collections Greater London, United Kingdom

Specialising in: Books, Calendars, Fiction Books, Non- Fiction Books, Textbooks
Biblio member since 2014

Hello We are professional online booksellers. We sell mostly new books and textbooks and we do our best to provide a competitive price. We are based in Greater London, UK. We pride ourselves by providing a good customer service throughout, shipping the items quickly and replying to customer queries promptly. Ria Christie Collections

Terms of Sale:

30 day return guarantee, with full refund including original shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.

Browse books from Ria Christie Collections

Reader reviews for A First Course in Statistical Programming with R

Write a review for this book

There are no reviews for this book yet. Be the first to write a review!

Your review will be anonymous unless you login or create an account first.

Overall rating
Remember: You’re rating the book as a work, not the seller or the condition of the specific copy you purchased!

Important Terms and Guidelines

  • Please focus on the book’s content and context. Also, add any personal comments as to how you enjoyed the book. Substantiate your likes and dislikes. You may make comparisons to other books.
  • Reviews must be at least 140 characters in length.
  • Please do not reveal critical plot elements.
  • This is not a help line. Contact customer support if you need help.
Your review must not include:
  • Obscenities, discriminatory language, or other insulting language not suitable for public domain
  • Advertisements, “spam” content, or references to other products, offers or websites.
  • Email addresses, URLs, phone numbers, physical addresses or other contact information.
  • Overly critical comments about other reviews or reviewers
  • Time-sensitive material (i.e. promotional tours, seminars, lectures, etc.)
  • Availability, price, or alternative ordering/shipping information

From the publisher

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.

Please wait a moment while we load the requested page.

tracking-