lattice: Multivariate Data Visualization withR
Year: 2008
Type: book-review
Abstract: The R lattice package is a powerful and complex system implementing William Cleveland’s trellis graphics (Cleveland 1985) – a system focusing on the display of multivariate data in panels. Trellis was one of the many ideas that came from a particularly notable generation in the history of statistical developments at Bell Labs – a period that also included the S programming language (Becker, Chambers, and Wilks 1988). The attraction to lattice is derived from its inclusion in the R download, i.e., it need not be separately downloaded from the Comprehensive R Archive Network (CRAN), its Bell Labs heritage, its wide variety of displayable graphics (xyplot, bwplot, densityplot, levelplot, etc.), its portability as it is written entirely in R, its maturity through years of improvement and its customizability. The last item is owing to a variety of graphical parameters, flexible use of panel functions, extensibility through the object model and its leverage of the underlying R grid graphics system (R Development Core Team 2008) upon which it is built. The package’s author and author of the book under review is a member of the R development core team. The nature of lattice may be gleaned from the following R code which creates a multipanel graphic using lattice. Here, yield and nitro are numeric while Variety and Block are
Source: Journal of Statistical Software
Author: Gabor Grothendieck
Language: English
Topic: Data Analysis with R
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W2166240734