R Graph Cookbook 

 I've been waiting for this kind of R book for awhile.  Packt Publishing , which releases technical and information technology books, has just published  The R Graph Cookbook . The premise is simple: there is a need for a book that clearly presents "recipes" of R graphs in one comprehensive volume. Indeed, many researchers switch to R (from Stata or SAS) in part because of the enormous flexibility and power of R in creating graphs. 

 This book is perhaps most useful for beginners, but even experienced R users should find the clarity of the presentation and discussion of advanced graphics informative. In particular, I found the presentation of how to create  heatmaps  and  geographic maps  useful. I'll certainly use these examples when teaching data visualization. Another enormous benefit of the book is that the author has released all the R code used to create the graphs. You can download the R code  here .  

 I have two quibbles, however. First, while the use of color in the graphs is pretty, I would've liked more examples with black-and-white templates. Although many decades from now (when most research might conceivably be published exclusively online), color graphs will be the norm, currently most research is published in journals where colors are not used. Second, like nearly all books I've seen on graphics using statistical packages, the author doesn't present graphics for regression coefficients and cross-tabs. (For information on graphing these, I recommend the excellent article on  using graphs instead of tables , published in  Perspectives in Politics .) Nonetheless, these are minor issues, and most R users, regardless of skill level, should find this book very useful for teaching and reference.