Efficient R Programming

Author: Colin Gillespie and Robin Lovelace
Publisher: O'Reilly
Pages: 222
ISBN: 978-1491950784
Print: 1491950781
Kindle: B01N2RTX9Q
Audience: R Programmers
Rating: 3.5
Reviewer: Mike James 

We all want to be efficient in any language and R is no different. What can we learn to do the job better?

This particular book takes a broad interpretation of "efficiency". It is taken to mean both how fast and economical your programs are and how efficient you can be creating programs. It isn't a particularly advanced book if you are a programmer but many R users aren't particularly well trained programmers. This is true of any language that is used by other disciplines to get a job done. In the case of R its users tend to be statisticians or what we now term "data scientists". 

Banner

The first chapter is very general and outlines a lot of what any programmer in any language should know. You are encouraged to learn touch typing and how to benchmark and use profiling. It is fairly low level and does point out that many skills are transferable between languages - a good point and one that might mean you don't need to read the book. However, it has to be admitted that R is a strange language compared to more mainstream object-oriented or even functional languages. 

Chapter 2 is about installing and configuring R, including five tips for efficient R.

Chapter 3 is where the real core of the book gets going. It is about optimization techniques - some general but many specific to R. In particular, vector operations are better than scalar implemenations using loops. This is something that users of R are often told and it is something common only to a small group of languages including MathCad and Octave. One nice aspect is that you get to see graphs showing how much faster things go. The final part of the chapter deals with using the Byte compiler, which is a good idea for large data.  

 

 

Chapter 4 is about workflow and is more like a self help manual than anything much to do with programming. I'm not saying that this chapter shouldn't be included, but you have been warned. You need to have the mind of a manager to want to read this.

Chapter 5 returns to programming matters and how to perform efficient I/O.

Chapter 6 is titled "Efficient Data Carpentry", which might leave some readers wondering what it is all about. The idea is that data cleaning and transformation is much like taking a rough piece of wood and working it into something finished.

Chapter 7 is on optimization and after looking at code profiling, the topic moves to micro-optimizations - i.e. which exact expression is best and using parallel computing. The final part of the chapter looks at using C++ from R.

The final three chapters have the feel of makeweights. They are not completely irrelevant but they are only just suitable. Chapter 8 goes over efficient hardware, which really means powerful hardware, as powerful as possible. The advice is a bit simplistic and, yes, you should buy an SSD and a 64-bit CPU and so on. Nothing much about GPUs is covered, but you do get to find out what a byte is and what RAM is. Chapter 9 has the title Efficient Collaboration and is on coding style, reformatting and using Git. Chapter 10 Efficient Learning is about how to find out about R, including advice like use Stack Overflow and mailing lists. 

The problem is that the real subject matter of this book probably runs to only a few articles rather than a complete book. I like the idea of the wider interpretation of "efficient" programming but there just isn't enough good material to make a convincing book. Whenever the ideas become even a little advanced you have to read the section more than once. You also need to be something of an R expert to get the most out of it. 

The authors don't make enough of how different R is from other language in its approach to objects, functions, data typing and so on. The material in the book would be better as a couple of chapters at the end of a more advanced R tutorial-type book. 

This isn't a must-have book but it has got some useful information on being a better R programmer. 

 

To keep up with our coverage of books for programmers, follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.

Banner


Closure: The Definitive Guide

Author: Michael Bolin
Publisher: O'Reilly, 2010
Pages: 592
ISBN: 978-1449381875
Print: 1449381871
Kindle: B0046RERYI
Audience: Existing and potential users of Closure
Rating: 4
Reviewed by: Mike James 


Closure is Google's very strange JavaScript compiler - does this book succeed in demystify [ ... ]



PHP In Easy Steps, 4th Ed

Author: Mike McGrath
Publisher: In Easy Steps
Date: April 2021
Pages: 192
ISBN: 978-1840789232
Print: 1840789239
Kindle: B08ZSV3MNH
Audience: People wanting to learn PHP
Rating: 4
Reviewer: Ian Elliot
PHP isn't a fashionable language, but this doesn't mean it isn't worth learning.


More Reviews

Related Reviews

R in Action: Data Analysis and Graphics with R (2e)

R in 24 Hours

Getting Started with R

Learning R

R Cookbook

The Art of R Programming

Last Updated ( Tuesday, 31 October 2017 )