TempoPlot: Plot of the occurence of events

In RChronoModel: Post-Processing of the Markov Chain Simulated by ChronoModel or Oxcal

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

TempoPlot(data, position, level=0.95,  count = TRUE, Gauss=FALSE, title = "Tempo plot")

Arguments

data	dataframe containing the output of the MCMC algorithm
position	numeric vector containing the position of the column corresponding to the MCMC chains of interest
level	probability corresponding to the level of confidence used for the credible interval
count	if TRUE the counting process is given as a number, otherwise it is a probability
Gauss	if TRUE, the Gaussian approximation of the CI is used
title	title of the graph

Value

It calculates the cumulative frequency of specified events by calculating how many events took place before each date in a specified range of dates.

Author(s)

Anne Philippe <[e-mail]>, Thomas S. Dye <[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); 
  TempoPlot(Events[1:1000,], c(2:5))
  TempoPlot(Events[1:1000,], c(2:5), count = TRUE)

RChronoModel documentation built on May 1, 2019, 10:06 p.m.