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

Skip to content

Efficient R Programming: A Practical Guide to Smarter Programming

Efficient R Programming: A Practical Guide to Smarter Programming

Efficient R Programming: A Practical Guide to Smarter Programming
Stock photo: cover may vary

Efficient R Programming: A Practical Guide to Smarter Programming Paperback - 2017

by Gillespie, Colin

Add to wish list
  • New
  • Paperback
  • first
New

Description

O'Reilly Media, 2017-01-02. 1. paperback. New. 7.01x0.48x9.17. Buy with confidence. Excellent Customer Service & Return policy.
Ask the seller a question Add to wish list
A$34.71
Free Delivery within USA
Standard delivery: 5 to 10 days
More delivery options
Dropship order
Ships from Ergodebooks (Texas, United States)
The BIBLIO Guarantee

Details

About Ergodebooks Texas, United States

Specialising in: Rare Books, Rare Dvd, Rare Video, Textbook
Biblio member since 2005

Our goal is to provide best customer service and good condition books for the lowest possible price. We are always honest about condition of book. We list book only by ISBN # and hence exact book is guaranteed.

Terms of Sale:

We have 30 day return policy.

Browse books from Ergodebooks

Reader reviews for Efficient R Programming: A Practical Guide to Smarter Programming

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

There are many excellent R resources for visualization, data science, and package development. Hundreds of scattered vignettes, web pages, and forums explain how to use R in particular domains. But little has been written on how to simply make R work effectively--until now. This hands-on book teaches novices and experienced R users how to write efficient R code.

Drawing on years of experience teaching R courses, authors Colin Gillespie and Robin Lovelace provide practical advice on a range of topics--from optimizing the set-up of RStudio to leveraging C++--that make this book a useful addition to any R user's bookshelf. Academics, business users, and programmers from a wide range of backgrounds stand to benefit from the guidance in Efficient R Programming.

  • Get advice for setting up an R programming environment
  • Explore general programming concepts and R coding techniques
  • Understand the ingredients of an efficient R workflow
  • Learn how to efficiently read and write data in R
  • Dive into data carpentry--the vital skill for cleaning raw data
  • Optimize your code with profiling, standard tricks, and other methods
  • Determine your hardware capabilities for handling R computation
  • Maximize the benefits of collaborative R programming
  • Accelerate your transition from R hacker to R programmer

About the author

Colin Gillespie is Senior lecturer (Associate professor) at Newcastle University, UK. His research interests are high-performance computing and Bayesian statistics. He is regularly employed as a consultant by Jumping Rivers and has been teaching R since 2005.

Robin Lovelace is a researcher at the Leeds Institute for Transport Studies (ITS) and the Leeds Institute for Data Analytics (LIDA). Robin has many years using R for academic research and has taught numerous R courses at all levels. He has developed a number of popular R resources, including Introduction to Visualising Spatial Data in R and Spatial Microsimulation with R (Lovelace and Dumont 2016). These skills have been applied on a number of projects with real-world applications, including the Propensity to Cycle Tool, a nationally scalable interactive online mapping application and the stplanr package.

Please wait a moment while we load the requested page.

tracking-