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R Graphics
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R is revolutionizing the world of statistical computing. Powerful, flexible, and best of all free, R is now the program of choice for tens of thousands of statisticians. Destined to become an instant classic, R Graphics presents the first complete, authoritative exposition on the R graphical system. Paul Murrell, widely known as the leading expert on R graphics, has
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Hardcover, 301 pages
Published
August 1st 2005
by CRC Press
(first published July 29th 2005)
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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.
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.
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
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Oct 11, 2015
SocProf
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review of another edition
Shelves:
data-science,
dataviz
Not for the faint of hearts. Do not be confused: this book is NOT for beginners. It takes you under the hood of R, to explore the underlying elements of the R graphics system. You won't do a lot of statistical plotting. It is much more about understanding what constitutes the R graphic system. Actually, it presents a lot of R elements that most people will probably never use but if you want some advanced knowledge of the base graphic logic (and the grid system, and a bit of lattice), then, by
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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 ...more
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 ...more
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.
Definitely not a bed time read.
Or, maybe, a great bed time read.
Absolutely one for the true science wonk.
A very good reference book for R.
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