lattice (version 0.2-3)

Lattice: Lattice Graphics

Description

Implementation of Trellis Graphics

Details

Lattice is an implementation of Trellis Graphics (see the references in the Reference section for details). It is intended to emulate the implementation of Trellis in S, and perhaps to add some functionality of its own. As of now, this implementation is very much incomplete; however, what has been implemented should be useful. (Note that there are no plans of implementing the 3D display functions in the immediate future).

This implementation depends heavily on a new Graphics engine (Grid) for R being developed by Paul Murrell. Knowledge of Grid is not necessary for using Lattice (except when writing new panel functions), but for one important aspect: Grid (and hence Lattice) graphics do not mix with conventional R Graphics. The way to use both is to enclose any Grid graphics commands by calls to grid.start and grid.stop. Note that library(lattice) automatically calls grid.start.

Type library(help = lattice) to see a list of (public) Lattice graphics functions.

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

See Also

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

To learn how to customise the Graphical parameters used by the Lattice functions, see trellis.settings.

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)

Hypervariate: splom scatterplot matrix parallel parallel coordinate plots Miscellaneous:

rfs residual and fitted value plot (also see oneway)