Lattice

Multivariate Data Visualization with R

Deepayan Sarkar

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English

Springer-Verlag New York Inc.
12 March 2008

Combinatorics & graph theory; Mathematical & statistical software

Series: Use R!

R is rapidly growing in popularity as the environment of choice for data analysis and graphics both in academia and industry. Lattice brings the proven design of Trellis graphics (originally developed for S by William S. Cleveland and colleagues at Bell Labs) to R, considerably expanding its capabilities in the process. Lattice is a powerful and elegant high level data visualization system that is sufficient for most everyday graphics needs, yet flexible enough to be easily extended to handle demands of cutting edge research. Written by the author of the lattice system, this book describes it 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 the book, although basic familiarity with R is assumed. The book 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 the book are also available online, along with supplementary material covering more advanced topics.

By: Deepayan Sarkar
Imprint: Springer-Verlag New York Inc.
Country of Publication: United States
Edition: 1st ed. 2008. Corr. 2nd printing 2008
Dimensions: Height: 229mm, Width: 152mm, Spine: 14mm
Weight: 504g
ISBN: 9780387759685
ISBN 10: 0387759689
Series: Use R!
Pages: 268
Publication Date: 12 March 2008
Audience: College/higher education , A / AS level , Further / Higher Education
Format: Paperback
Publisher's Status: Active

Reviews for Lattice: Multivariate Data Visualization with R

From the reviews: The book is destined to be the standard reference on lattice and is highly recommended to thoe with an interest in using lattice graphics in R. (Gabor G. Grothendieck, Journal of Statisical Software)