TempoActivityPlot: Plot the derivative of the tempo plot Bayesian estimate

In ArchaeoPhases: Post-Processing of the Markov Chain Simulated by 'ChronoModel', 'Oxcal' or 'BCal'

Plot the derivative of the tempo plot Bayesian estimate

Description

A statistical graphic designed for the archaeological study of rhythms of the long term that embodies a theory of archaeological evidence for the occurrence of events

Usage

TempoActivityPlot(
  data,
  position,
  plot.result = NULL,
  level = 0.95,
  title = "Activity plot",
  subtitle = NULL,
  caption = "ArcheoPhases",
  x.label = "Calendar year",
  y.label = "Activity",
  line.types = c("solid"),
  width = 7,
  height = 7,
  units = "in",
  x.min = NULL,
  x.max = NULL,
  file = NULL,
  x.scale = "calendar",
  elapsed.origin.position = NULL,
  newWindow = TRUE,
  print.data.result = FALSE
)

Arguments

data	Data frame containing the output of the MCMC algorithm.
position	Numeric vector containing the position of the column corresponding to the MCMC chains of interest.
plot.result	List containing the data to plot, typically the result of a previous run of TempoActivityPlot().
level	Probability corresponding to the level of confidence.
title	Title of the plot.
subtitle	Subtitle of the plot.
caption	Caption of the plot.
x.label	Label of the x-axis.
y.label	Label of the y-axis.
line.types	Type of the lines drawn on the plot.
width	Width of the plot in units.
height	Height of the plot in units.
units	Units used to specify width and height, one of "in" (default),"cm", or "mm".
x.min	Minimum value for x-axis.
x.max	Maximum value for x-axis.
file	Name of the file to be saved if specified. If Null, then no file is saved.
x.scale	One of "calendar", "bp", or "elapsed".
elapsed.origin.position	If x.scale is "elapsed", the position of the column corresponding to the event from which elapsed time is calculated.
newWindow	Whether or not the plot is drawn within a new window .
print.data.result	If TRUE, the list containing the data to plot is returned.

Value

NULL, called for its side effects. It may also return a list containing the data to plot (if print.data.result = TRUE). The result is given in calendar years (BC/AD).

Author(s)

Anne Philippe, [e-mail] and

Marie-Anne Vibet, [e-mail]

References

Dye, T.S. (2016) Long-term rhythms in the development of Hawaiian social stratification. Journal of Archaeological Science, 71, 1–9.

Examples

  data(Events);
  TempoActivityPlot(Events[1:1000, ], c(2:5), print.data.result = FALSE)
  TempoActivityPlot(Events[1:1000, ], c(2:5), print.data.result = FALSE)

ArchaeoPhases documentation built on June 22, 2022, 1:05 a.m.