plot.dpgrowmult: Produce model plots
In growcurves: Bayesian Semi and Nonparametric Growth Curve Models that Additionally Include Multiple Membership Random Effects

Builds model plots, including MCMC trace plots, analysis of session effects and subject growth curves

1 2	## S3 method for class 'dpgrowmult' plot(x, plot.out = TRUE, ...)

`x`	A `dpgrowmult` object
`plot.out`	A `boolean` object. If `TRUE`, plots are rendered. In either case, plots are stored
`...`	Ignored

res a list object of class plot.dpgrowmm of 3 items:

`plot.results`	`ggplot2` plot objects; see `mcmcPlots`.
`dat.growcurve`	A `data.frame` containing fields `c("fit","time","subject","trt")` with `P*T` rows, where `P` is the length of `subject` and `T = 10` are the number of in-subject predictions for each subject. This object may be used to construct additional growth curves using - see `growplot`.
`dat.gcdata`	A `data.frame` containing fields `c("fit","time","subject","trt")` with `N` rows, where `N` are the number of subject-time cases. This object contains the actual data for all subjects used to co-plot with predicted growth curves.

growcurves documentation built on May 2, 2019, 7:03 a.m.

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