MultiPhasePlot: Plot of the marginal posterior densities of several phases

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

Description

Draws a plot with the marginal posterior densities of the minimum and the maximum of the dates included in each phase. No temporal order between phases is required.

Usage

MultiPhasePlot(data, position_minimum, position_maximum = position_minimum+1,
level = 0.95,  title = "Phases marginal posterior densities")

Arguments

data	dataframe containing the output of the MCMC algorithm
position_minimum	numeric vector containing the column number corresponding to the minimum of the dates included in each phase
position_maximum	numeric vector containing the column number corresponding to the maximum of the dates included in each phase. By default, position_maximum = position_minimum + 1.
level	probability corresponding to the level of confidence
title	title of the graph

Value

Draws a plot with the marginal posterior densities of the minimum and the maximum of the dates included in each phase and adds the time range of each phase.

Author(s)

Anne Philippe <[e-mail]> and

Marie-Anne Vibet <[e-mail]>

Examples

  # Data extracted from ChronoModel software
  data(Phases)
  
  # List of the name of the phases 
  names(Phases)
  
  # Stipulating position_maximum
  MultiPhasePlot(Phases, c(4,2), c(5,3), title = "Succession of phase 1 and phase 2")
  
  # In this case, equivalent to 
  MultiPhasePlot(Phases, c(4,2), title = "Succession of phase 1 and phase 2")

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