boxplot.Siid: Boxplot for Siid

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

Boxplot for Siid

Description

Boxplots with simultaenous error bars around all quantiles for iid data.

Usage

## S3 method for class 'Siid'
boxplot(x, ...,  alpha = 0.05, thresh = 0.001, 
                     quan.col = 'lightsteelblue3', opaq = .6, range = 1.5, 
                     width = NULL, varwidth = FALSE, outline = TRUE, plot = TRUE, 
                     border = par("fg"), col = 'white', ann = !add, 
                     horizontal = FALSE, add = FALSE)

Arguments

x	: a ‘Siid’ class object
...	: arguments sent to boxplot
alpha	: confidence level of simultaneous confidence intervals
thresh	: numeric typically less than .005 for the accuracy of the simulteaneous procedure
quan.col	: 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.
range	: as defined for base boxplot
width	: as defined for base boxplot
varwidth	: as defined for base boxplot
outline	: as defined for base boxplot
plot	: logical indicating whether the plot is to be constructed
border	: as defined for base boxplot
col	: as defined for base boxplot
ann	: as defined for base boxplot
horizontal	: as defined for base boxplot
add	: as defined for base boxplot

Value

returns the base boxplot with simultaneous confidence intervals around all quantiles

References

Robertson, N., Flegal, J. M., Vats, D., and Jones, G. L., “Assessing and Visualizing Simultaneous Simulation Error”, Journal of Computational and Graphical Statistics, 2020.

Examples

# Generating iid data
chain <- matrix(rnorm(3*1e3), nrow = 1e3, ncol = 3)
siid.obj <- Siid(chain)
boxplot(siid.obj)

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