addCI: Add simultaneous confidence interval to existing plot.

In dvats/SimTools: Toolkit for Simulation Output Including Monte Carlo and MCMC

Add simultaneous confidence interval to existing plot.

Description

Adds simultaneous confidence intervals for quantiles and means to an existing plot.

Usage

addCI(x, CIs, component = 1, bord = NA, mean = TRUE, mean.color = 'plum4',
               quan.color = 'lightsteelblue3', opaq = 0.7, ...)

Arguments

x	: a ‘Smcmc’ class object
CIs	: the output from the 'getCI' function
component	: numeric indicating which component to draw the confidence intervals for
bord	: logical for whether a border is desired around the confidence intervals
mean	: logical argument whether the mean is to be plotted
mean.color	: color for the mean confidence interval
quan.color	: color for the quantile confidence intervals
opaq	: opacity of mean.col and quan.col. A value of 0 is transparent and 1 is completely opaque.
...	: arguments passed on to the boundaries of the confidence intervals in 'segments'

Value

adds segments for confidence intervals into an already existing plot environment

Examples

chain <- matrix(0, ncol = 1, nrow = 1e3)
chain[1,] <- 0
err <- rnorm(1e3)
for(i in 2:1e3)
{
  chain[i,] <- .3*chain[i-1,] + err[i]
}
chain <- Smcmc(list(chain))
plot(density(chain$stacked[,1]))
CIs <- getCI(chain)
addCI(chain, CIs, component = 1)

dvats/SimTools documentation built on May 14, 2023, 1:28 p.m.