R Graphics. Computer Science and Data Analysis Series

The R Series

by Paul Murrell

Occupational Ergonomics: Design and Management of Work Systems comprises chapters carefully selected from CRC's bestselling Occupational Ergonomics Handbook, logically organized for optimum convenience and thoughtfully priced to fit every budget. This book presents 34 chapters addressing selected issues in the area of occupational macroergonomics, with an emphasis on design and management of industrial work systems. Part I focuses on organizational design. Part II is concerned with environmental design, including protection against noise and vibration, thermal stress, and usability of various work/shift plans. Part III discusses applications of ergonomics, principles of work design in the office environment, and manufacturing and service industries.

Genres: Programming

322 pages, Kindle Edition

Published July 29, 2005

Reviews

[Chris · Rating 4 out of 5]

a lot of insihgts for those of us who need to know R's internals and want a companion to the source.

Also worth a glance by anyone who works with grobs (quantmod users).


Finally, if you're thinking of writing your own plotting software (say you want to add histograms or function plotting to idris or some other new language), the R team has put a _lot_ of work and thought into their graphics library. There might not be a better book to give yourself ideas for that kind of job.

[Eugene Mah · Rating 4 out of 5]

The book provides a good introduction to the R graphics system and gives a very good presentation of the kinds of graphs you can generate using R. This book is definitely not a how-to or cookbook for R graphics though. The book assumes the reader is already familiar with R and the graphics related commands, so there's not much explanation of the short code snippets that go along with the figures. If you're new to R, this book won't show you how to create graphs. It will show you the graphing capabilities of R though and possibly get you interested enough to keep using R.

If you do know R, what this book *will* show you is how to do more complex things with R graphics. Half the book covers the traditional graphics model, while the other half covers the Grid and Trellis graphics models. This will be the interesting part of the book because Grid and Trellis look like they let users create really neat graphs and data representations with R.

I would have liked to see some more complete examples in the book, but at least there's an accompanying website that contains all the code used to generate the graphs and errata for the book. This would be a good addition to an R user's bookshelf.

[Jerzy · Rating 4 out of 5]

I don't think I could recommend this to an R novice (Appendix A, "A Brief Introduction to R," does seem reasonable for a beginner but I'm not sure about the rest)... but it's a well-explained and thorough resource for someone with solid R experience already.
It helped me solidify some concepts about R graphics and pointed out features of which I hadn't been aware. I'll be coming back to this when I need a refresher on plotting regions, layout, data symbols, etc. The "par" cheatsheets on p.51 and 53 are great. And if you want to extend R using grid graphics, this is the place to start.

[Craig Ruaux · Rating 3 out of 5]

Useful book for getting into the fairly complex graphical system of the R Statistical Programming Environment.
Definitely not a bed time read.
Or, maybe, a great bed time read.
Absolutely one for the true science wonk.

[Qingnan · Rating 5 out of 5]

A very good reference book for R.