plot.dpgrowmult: Produce model plots

In growcurves: Bayesian Semi and Nonparametric Growth Curve Models that Additionally Include Multiple Membership Random Effects

Description

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

Usage

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

Arguments

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

Value

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.