| TempoPlot {RChronoModel} | R Documentation |
Plot of the occurence of events
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 <Anne.Philippe@univ-nantes.fr>, Thomas S. Dye <TSD@tsdye.com> and
Marie-Anne Vibet <Marie-Anne.Vibet@univ-nantes.fr>
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)