lattice (version 0.7-1)

Lattice: Lattice Graphics

Description

Implementation of Trellis Graphics in R

Details

Trellis Graphics is a framework for data visualization developed at the Bell Labs by Rick Becker, Bill Cleveland et al, extending ideas presented in Bill Cleveland's 1993 book Visualizing Data.

Lattice is best thought of as an implementation of Trellis Graphics for R. Its interface is based on the implementation in S-Plus, but there are several differences. To the extent possible, care has been taken to ensure that existing Trellis code written for S-Plus works unchanged (or with minimal change) in Lattice. If you are having problems porting S-Plus code, read the entry for panel in the documentation for xyplot (and perhaps the Lattice website referenced below).

Most high level Trellis functions in S-Plus are implemented, with the exception of piechart (also, wireframe is still quite slow).

Lattice is built upon the Grid Graphics engine for R being developed by Paul Murrell and requires the grid add-on package.

Type library(help = lattice) to see a list of (public) Lattice graphics functions for which further documentation is available. Apart from the documentation accompanying this package, several documents outlining the use of Trellis graphics is available from Bell Lab's website that might provide a holistic introduction to the Trellis paradigm. Lattice also has a website with some tips.

References

Bell Lab's Trellis Page: http://cm.bell-labs.com/cm/ms/departments/sia/project/trellis/

Cleveland, W.S. (1993) Visualizing Data.

Becker, R.A., Cleveland, W.S. and Shyu, M. ``The Visual Design and Control of Trellis Display'', Journal of Computational and Graphical Statistics

Lattice Webpage: http://packages.r-project.org/lattice/

See Also

To get a general idea of what arguments are generally accepted by Lattice functions, see xyplot.

To learn how to customise the Graphical parameters used by the Lattice functions, see lattice.theme and lset.

To learn how to initialise new devices or change the settings of the current device, see trellis.device

To learn about sophisticated (non-default) printing capabilities, see print.trellis.

Here is a list of `high level' functions in the Lattice library with a brief description of what they do:

Univariate:

barchart bar plots

bwplot box and whisker plots

densityplot kernel density plots

dotplot dot plots

histogram histograms

qqmath quantile plots against mathematical distributions

stripplot 1-dimensional scatterplot

Bivariate:

qq q-q plot for comparing two distributions xyplot scatter plot (and possibly a lot more)

Trivariate:

levelplot level plots (image plots in R) Hypervariate: splom scatterplot matrix parallel parallel coordinate plots Miscellaneous:

rfs residual and fitted value plot (also see oneway)

See llines if you need to write/port nontrivial panel functions.