plot.pp.ggdmc: Posterior Predictive Plot

In TasCL/ggdmc: Dynamic Model of Choice with Parallel Computation, and C++ Capabilities

Description

This is posterior predictive plot ggplot2 version

Usage

## S3 method for class 'pp.ggdmc'
plot(x, y = NULL, style = "pdf", gpvar1 = NULL,
  mode = "mode", size = 18, legPos = c(0.85, 0.85), legKeyS = unit(2,
  "lines"), legKeyW = unit(1, "cm"), xlim = c(0, Inf), ...)

Arguments

x	post predictive object created usually by post.predict.ggdmc.
y	default NULL. No function. Just to make it compatible to plot
style	to plot probability density, pdf, cumulative density, cdf, or both
gpvar1	add one more experimental factor for faceting
mode	an argument
size	font size
legPos	where to anchor legend, in percentage of the x and y axes
legKeyS	legend key size
legKeyW	legend key width
xlim	x axis range
...	other arguments

TasCL/ggdmc documentation built on May 9, 2019, 4:19 p.m.