Written by the author of the Lattice system, Lattice: Multivariate Data Visualization with R describes Lattice in considerable depth, beginning with the essentials and systematically delving into specific low levels details as necessary. No prior experience with Lattice is required to read Lattice: Multivariate Data Visualization with R, although basic familiarity with R is assumed. Lattice: Multivariate Data Visualization with R contains close to 150 figures produced with Lattice. Many of the examples emphasize principles of good graphical design; almost all use real data sets that are publicly available in various R packages. All code and figures in Lattice: Multivariate Data Visualization with R are also available online, along with supplementary material covering more advanced topics.
"This book can be seen as a valuable source for lattice users at all levels. [...] The book nicely shows that making good graphics is a process and the reader is guided by the author in a wealth of examples through the various steps needed to reach the final result. A nice feature of the book is that it has an accompanying homepage that contains all the R code and figures of the book."
- Klaus Nordhausen, International Statistical Review, Vol. 76 (3), 2008
"Lattice is a package for R, and it greatly extends the already impressive graphical capabilities. [...] I suggest that many users of lattice (and most users of R probably ought to use lattice) should buy this book. [...] if one is using this book for self-study, exercises would be very helpful. [...] I recommend this book to anyone with a particular interest in the lattice package or a general interest in R graphics."
- Peter L. Flom, The American Statistician, Vol. 63 (1), February, 2009
"The book has 14 chapters separated in three parts. [...] very accessible to those inexperienced in the S language. For those readers that have more experience with R, the book is also quite useful. [...] Overall, if you are learning R or have not moved beyond the traditional S graphics system, the book shows the range possibilities of what can be done. [...] everyone using R would benefit from this book."
- Max Kuhn, Technometrics, Vol. 52 (3), August, 2010
- A technical overview of lattice
- Visualizing univariate distributions
- Displaying multiway tables
- Scatter plots and extensions
- Trivariate displays
- Graphical parameters and other settings
- Plot coordinates and axis annotation
- Labels and legends
- Data manipulation and related topics
- Manipulating the "trellis" object
- Interacting with Trellis displays
- Advanced panel functions
- New Trellis displays
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Deepayan Sarkar won the 2004 John M. Chambers Statistical Software Award for writing lattice while he was a graduate student in Statistics at the University of Wisconsin-Madison. He is currently doing postdoctoral research in the Computational Biology program at the Fred Hutchinson Cancer Research Center, a member of the R Core Team, and an active participant on the R mailing lists.