profiles.plot {diversitree}R Documentation

Plot Marginal Distributions from MCMC

Description

Simple plotting assistance for plotting output from MCMC runs

Usage

profiles.plot(y, col.line, col.fill, xlim=NULL, ymax=NULL, n.br=50,
              opacity=.5, xlab="Parameter estimate",
              ylab="Probability density", legend.pos=NULL, ...)

Arguments

y

Data frame, columns of which will be plotted as separate profiles.

col.line

Vector of colours for the lines.

col.fill

Vector of colours for the fill of the 95% most probable region of the distribution. If ommited, this will be a semi-transparent version of col.line.

xlim

X-axis limits - calculated automatically if omitted.

ymax

Y-axis upper limit - calculated automatically if omitted.

n.br

Number of breaks along the range of the data.

opacity

Opacity of the filled region (0 is transparent, 1 is fully opaque).

xlab,ylab

Axis labels for the plot.

legend.pos

String to pass to legend to position the legend (for automatic legend building based on the names of y).

...

Additional arguments passed through to plot.

Author(s)

Richard G. FitzJohn

Examples

For usage, see the example in ?make.bd

[Package diversitree version 0.9-4 ]