The groupedData object is summarized by the values of the
displayLevel grouping factor (or the combination of its values
and the values of the covariate indicated in preserve, if any is
present). The collapsed data is used to produce a new
groupedData object, with grouping factor given by the
displayLevel factor, which is plotted using the
appropriate plot method for groupedData objects with
single level of grouping.
Usage
## S3 method for class 'nmGroupedData':
plot(x, collapseLevel, displayLevel, outer, inner,
preserve, FUN, subset, key, grid, ...)
Arguments
Value
a Trellis display of the data collapsed over the values of the
collapseLevel grouping factor and grouped according to the
displayLevel grouping factor.
References
Bates, D.M. and Pinheiro, J.C. (1997), "Software Design for Longitudinal
Data", in "Modelling Longitudinal and Spatially Correlated Data:
Methods, Applications and Future Directions", T.G. Gregoire (ed.),
Springer-Verlag, New York.
Pinheiro, J.C. and Bates, D.M. (1997) "Future Directions in
Mixed-Effects Software: Design of NLME 3.0" available at
http://franz.stat.wisc.edu/pub/NLME.