Using R for Data Management, Statistical Analysis, and Graphics

Reviews / Votes

This book is an excellent reference resource. Used this way, it can be helpful for years to come for both experienced and novice users. The organization of the material makes it easy to find the relevant piece of information either by topic (from the table of contents) or using one of the indexes. The task entries are self-contained. Users with experience in technical computing may use it as a quick starter in R, as well.
-Georgi N. Boshnakov, Journal of Applied Statistics, June 2012


This book provides a concise reference and annotated examples for R ... . It is needed because R does not come with a coordinated manual ... It is much easier to find information in Horton and Kleinman's book because of their more detailed indices and table of contents. ... Horton and Kleinman have succeeded very well in their goal of providing a concise reference manual and annotated examples. If you know the statistics (or can look them up) and have some experience using R, it is an extremely useful reference, and it has become my most consulted R book. ... it would be an excellent reference for those wanting look up the syntax of a command together with an example of how to use it. It is also very useful if you cannot remember the command and want to know how to do it in R.
-Paul H. Geissler, The American Statistician, November 2011


The interesting aspect of the book is that it does not only describe the basic statistics and graphics function of the basic R system but it describes the use of 40 additional available from the CRAN website. The website contains also the R code to install all the packages that contain the described features. In summary, the book is a useful complement to introductory statistics books and lectures ... Those who know R might get additional hints on new features of statistical analyses.
-International Statistical Review (2011), 79