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lattice (version 0.5-2)

Lattice: Lattice Graphics

Description

Implementation of Trellis Graphics

Arguments

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 (see the references section for details).

Lattice is an implementation of Trellis Graphics that aims to emulate the implementation in S/S-Plus, and perhaps to add some functionality of its own. As of now, it is incomplete in that the 3D display functions and contourplots are unimplemented. However, what has been already implemented should be useful. Lattice is built upon the Grid Graphics engine for R being developed by Paul Murrell and requires the grid package.

Existing Trellis code written for S-Plus should ideally work unchanged in Lattice. One unavoidable exception to this is when custom panel functions are used. See the entry for panel in help(xyplot) for help with this aspect.

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.

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 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.