R Graph Cookbook Review

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R Graph Cookbook ReviewI was going for three stars: my inner Communist made it clear that charging $50 for a book that, "properly edited", would be only a hundred pages long, was exploitation. ("Look at page 132", he said, "Bar labels on a bar chart - placed above bars, beside bars, and within bars. The difference between the three options is just several characters. Joe Adler or Paul Teetor would give one example in full, note the changes, and maybe show the three plots in a single small panel. This guy shows each case in full, on three and a half pages... Or what counts for a page here - have you seen a book with more white space?") Then Amazon reduced the price to $43, and Karl Marx - pointing out that this book still costs more than the considerably more substantial "R in a Nutshell" or "R Cookbook" - quieted down a bit.
Experienced R users will find the discussion "too soft", basic and limited in scope, albeit appreciate the occasional good bits. (I noted such items as "reversing" axes with xlim/ylim, discussion of palettes, "proper" setting of chart's background color, fonts, mathematical expressions in chart annotations (special kudos here), grouped scatter plots, 3D scatter plots, interactive 3D surface plots, sparklines and custom axes. The chapter on maps/GIS is a dead weight for me, but a treat for someone else. The finance-themed example using "quantmod" package was a nice touch).
The book will be very helpful to R novices, whose options would otherwise be limited to selected pages of "R Cookbook", "R in a Nutshell" (a wealth of information, including discussion of "lattice" and "trellis" packages - contrast this to "R Graphs Cookbook" using a token function from "lattice" or "ggplot2" - but only a step above R documentation in terms of user-friendliness), Quick-R Web site and miscellaneous online resources. My advice for them would be: get the book, read it alongside Quick-R print-outs, and try to get the hang of R documentation and (aided by Google or "RSiteSearch") advice in R forum archives.
PS. Robert Kabacoff, the person behind Quick-R, has since published a book, "R in Action". While I readily endorse it for a host of other reasons, "R in Action" does not spend a lot of pages on graphics, so Quick-R is the better reference in this regard.
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