PERHAPS A GIFT VOUCHER FOR MUM?: MOTHER'S DAY
Nicholas J. Horton is a professor of statistics at Amherst College. His research interests include longitudinal regression models and missing data methods, with applications in psychiatric epidemiology and substance abuse research. Ken Kleinman is an associate professor in the Department of Population Medicine at Harvard Medical School. His research deals with clustered data analysis, surveillance, and epidemiological applications in projects ranging from vaccine and bioterrorism surveillance to observational epidemiology to individual-, practice-, and community-randomized interventions.
The second edition of the book preserves the many good points of the first, and makes some improvements to the structure, e.g., on the graphical compendium. It also contains added material on more recent possibilities...is a good buy, if the goal is to have a reference book which allows to quickly find a way of accomplishing a task at hand in R, be it with or without RStudio. - Ulrike Gromping, Beuth University of Applied Sciences Berlin, Journal of Statistical Software, November 2015 ... the book is easy to use. I have had it on my desk for the past few weeks and it has become invaluable. For those, like me, who find themselves regularly switching between R, MATLAB, and Python-or similar packages-it can save a lot of time. -Significance Magazine, February 2016 Praise for the First Edition: 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
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