Efficient R Programming

Name: Efficient R Programming
Author: Colin Gillespie

A Practical Guide to Smarter Programming

Specificaties

Paperback, 205 blz. | Engels

O'Reilly | 1e druk, 2016

ISBN13: 9781491950784

Rubricering

Hoofdrubriek : Computer en informatica

Juridisch :

O'Reilly 1e druk, 2016 9781491950784

45,29

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Samenvatting

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

Specificaties

ISBN13:9781491950784

Trefwoorden:Programmeren, Programmeertalen, R

Taal:Engels

Bindwijze:paperback

Aantal pagina's:205

Uitgever:O'Reilly

Druk:1

Verschijningsdatum:31-12-2016

Hoofdrubriek:IT-management / ICT

Inhoudsopgave

Preface

1. Introduction
-Prerequisites
-Who This Book Is for and How to Use It
-What Is Efficiency?
-What Is Efficient R Programming?
-Why Efficiency?
-Cross-Transferable Skills for Efficiency
-Benchmarking and Profiling
-Book Resources
-References

2. Efficient Setup
-Prerequisites
-Top Five Tips for an Efficient R Setup
-Operating System
-R Version
-R Startup
-RStudio
-BLAS and Alternative R Interpreters
-References

3. Efficient Programming
-Prerequisites
-Top Five Tips for Efficient Programming
-General Advice
-Communicating with the User
-Factors
-The Apply Family
-Caching Variables
-The Byte Compiler
-References

4. Efficient Workflow
-Prerequisites
-Top Five Tips for Efficient Workflow
-A Project Planning Typology
-Project Planning and Management
-Package Selection
-Publication
-Reference

5. Efficient Input/Output
-Prerequisites
-Top Five Tips for Efficient Data I/O
-Versatile Data Import with rio
-Plain-Text Formats
-Binary File Formats
-Getting Data from the Internet
-Accessing Data Stored in Packages
-References

6. Efficient Data Carpentry
-Prerequisites
-Top Five Tips for Efficient Data Carpentry
-Efficient Data Frames with tibble
-Tidying Data with tidyr and Regular Expressions
-Efficient Data Processing with dplyr
-Combining Datasets
-Working with Databases
-Data Processing with data.table
-References

7. Efficient Optimization
-Prerequisites
-Top Five Tips for Efficient Optimization
-Code Profiling
-Efficient Base R
-Example: Optimizing the move_square() Function
-Parallel Computing
-Rcpp
-References

8. Efficient Hardware
-Prerequisites
-Top Five Tips for Efficient Hardware
-Background: What Is a Byte?
-Random Access Memory
-Hard Drives: HDD Versus SSD
-Operating Systems: 32-Bit or 64-Bit
-Central Processing Unit
-Cloud Computing

9. Efficient Collaboration
-Prerequisites
-Top Five Tips for Efficient Collaboration
-Coding Style
-Version Control
-Code Review
-References

10. Efficient Learning
-Prerequisties
-Top Five Tips for Efficient Learning
-Using R’s Internal Help
-Online Resources
-Asking a Question
-Learning In Depth
-Spread the Knowledge
-References

Appendix A: Package Dependencies
Appendix B: References

Index