plot.mcsimres {baorista}

Plot Monte-Carlo simulation results on aoristic data

Description

Plot Monte-Carlo simulation based percentile intervals on frequency or rate of change of events.

Usage

## S3 method for class 'mcsimres'
plot(
  x,
  interval = 0.9,
  minortick = NULL,
  ylim = NULL,
  xlab = NULL,
  ylab = NULL,
  calendar = "BP",
  col = "black",
  lwd = 1,
  lty = 1,
  col.fill = "lightblue",
  pch = 20,
  type = "sum",
  plot.legend = TRUE,
  legend.arg = NULL,
  ...
)

Arguments

x

A mcsimres class object generated using the mcsim() function.

interval

A value between 0 and 1 defining the percentile interval. Default is 0.9.

minortick

Interval for minor ticks in the x-axis label. Default is estimated based on timescale.

ylim

Limits of the y-axis. Default estimated from posterior ranges.

xlab

Label for the x-axis. Default based on calendar.

ylab

Label for the y-axis. Default is "Probability Mass".

calendar

Either 'BP' or 'BCAD'. Indicate whether the x-axis should be displayed in BP or BC/AD. Default is 'BP'.

col

Color of Monte-Carlo simulation mean. Default is black.

lwd

Line width of Monte-Carlo mean. Default is 1.

lty

Line type Monte-Carlo mean. Default is 1.

col.fill

Fill color for the first (inner) percentile interval. Default is 'lightblue'.

pch

Point symbol used to display mean posteriors. Default is 20.

type

Determine whether to display total number of events (if set to 'sum') or the rate of change ('roc'), computed as (t0/t1)^(1/r)-1, where t0 is the number of events in given time-block t, t1 is the number of events of the next time-block t+1, and r is the size (in years) of the time-blocks. Defaults is 'sum'.

plot.legend

Logical indicating whether to display a legend or not (default is TRUE).

legend.arg

List containing arguments to be directed to the legend() function.

...

Additional arguments affecting the plot.

Value

No return value (plot function)