ggdmc (version 0.1.3.9)

plot.pp.ggdmc: Posterior Predictive Plot

Description

This is posterior predictive plot ggplot2 version

Usage

# S3 method for 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