Using R and RStudio for Data Management, Statistical Analysis and Graphics (2nd Edition)
Ulrike Grömping · Journal of Statistical Software · 2015
This book is the second edition of "R for Data Management, Statistical Analysis and Graphics", which was quite well-received as a reference book for working with R at the time (see, e.g., Geissler 2011).The second edition has been substantially restructured and extended, which is already reflected in the addition of RStudio to the title.The twelve chapters cover the three topics mentioned in the book title: Chapter 1 discusses "Data input and output" (9 pages) and Chapter 2 "Data management" (21 pages) in a more narrow sense.Chapter 3 ("Statistical and mathematical functions", 11 pages) and Chapter 4 ("Programming and operating system interface", 6 pages) provide some technical prerequisites in preparation for the statistical analysis chapters.The "Statistical analysis" part of the book consists of Chapter 5 ("Common statistical procedures", 16 pages), Chapter 6 ("Linear regression and ANOVA", 23 pages) and Chapter 7 ("Regression generalizations and modeling", 32 pages).The graphical content is delivered in Chapter 8 ("A graphical compendium", 21 pages) and Chapter 9 ("Graphical options and configuration", 21 pages).Three further chapters, Chapter 10 ("Simulation", 11 pages), Chapter 11 ("Special topics", 20 pages) and Chapter 12 ("Case studies", 24 pages), discuss diverse topics.Four appendices give an introduction to R and RStudio (Appendix A, an extension of the former Chapter 1) and to the most important example data set used throughout the book (Appendix B), provide references (Appendix C) and two indexes (Appendix D).The book is accompanied by a website with example code, example data and a convenient command for installing the packages needed for running the entire example code; an errata list is also provided.In comparison to the first edition, the one wide-ranging chapter on data management has been split into Chapters 1 to 4, only two of which I would consider data management, as listed above.The chapters on statistical analysis are quite similar to their counterparts in the first edition, the methods described range from simple descriptive methods to advanced regression modeling techniques; only the advanced chapter (Chapter 7) has been restructured and slightly extended.The previous "Graphics" chapter has been split into Chapters 8 and 9, and the graphical compendium given in Chapter 8 has been extensively restructured,