A Tiny Handbook of R

Mike Allerhand

Springer, 2011, ix+83 pages, $39.95, softcover

ISBN: 978-3-642-17979-2

Readership: Beginners in R, applied statisticians and investigators in other disciplines, anyone requiring a rough-and-ready guide to basic R commands for most commonly encountered standard statistical analyses.

This little book packs quite a punch. Inevitably, with a book of its size, any R adept will rue the absence of many of her favourite advanced topics. But given that unavoidable exigency, it manages to touch upon some extremely important matters that are typically vexatious to non-expert R users.

Chapter 1 is devoted to introducing R while Chapter 2 discusses Data Structures. Particularly useful are Sections 2.4 and 2.5 which address issues that often baffle learners: intricacies in Indexing and Reshaping. Chapter 3 carries useful hints for tabular and graphical representations. The treatment in the last two chapters, 4 and 5, on Hypotheses Testing and Linear Models culminating in ANOVA, seem to indicate that the targeted readership comprise not so much statisticians but academics in allied disciplines who need to apply perhaps mostly routine statistical techniques. The collection of numerous references for further consultation is a useful resource for investigators that want to move beyond the basics.