Efficient R Programming: A Practical Guide to Smarter Programming

Gillespie, Colin; Lovelace, Robin

ISBN 10: 1491950781 / ISBN 13: 9781491950784

Verlag: O'Reilly Media, 2017

Beschreibung

Bestandsnummer des Verkäufers ABLIING23Mar2716030177505

Bibliografische Details

• Titel: Efficient R Programming: A Practical Guide to Smarter Programming
• Verlag: O'Reilly Media
• Erscheinungsjahr: 2017
• Sprache: Englisch
• ISBN-10: 1491950781
• ISBN-13: 9781491950784
• Einband: Softcover
• Zustand: New

Über diesen Titel

Inhaltsangabe

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

Über die Autorin bzw. den Autor

Colin Gillespie is Senior lecturer (Associate professor) at Newcastle University, UK. He has been running R courses for over five years at a variety of levels, ranging from beginners to advanced programming. During his academic career, he has also been employed as an external consultant at Shell, Burberry, Yorkshire Bank, KPMG, and Tesco Bank. His research interests are high performance statistical computing and Bayesian statistics. Robin Lovelace is a Research Fellow in the Leeds Institute for Data Analytics, which specializes in the handling of large data sets. Robin has five years using R for academic research and three years teaching R at all levels. Robin developed the popular tutorial "Introduction to visualizing spatial data in R" and is working to publish "Spatial microsimulation with R" (CRC Press). Robin has used R on mission-critical contracts, including the creation of a nationally scalable interactive online mapping tool for the UK's Department for Transport (DfT).