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
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
)Data frame containing the output of the MCMC algorithm.
Numeric vector containing the position of the column corresponding to the MCMC chains of interest.
List containing the data to plot, typically the
result of a previous run of TempoActivityPlot().
Probability corresponding to the level of confidence.
Title of the plot.
Subtitle of the plot.
Caption of the plot.
Label of the x-axis.
Label of the y-axis.
Type of the lines drawn on the plot.
Width of the plot in units.
Height of the plot in units.
Units used to specify width and height,
one of "in" (default),"cm", or "mm".
Minimum value for x-axis.
Maximum value for x-axis.
Name of the file to be saved if specified.
If Null, then no file is saved.
One of "calendar", "bp", or "elapsed".
If x.scale is "elapsed", the position
of the column corresponding to the event from which elapsed time is calculated.
Whether or not the plot is drawn within a new window .
If TRUE, the list containing the data to plot
is returned.
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).
Dye, T.S. (2016) Long-term rhythms in the development of Hawaiian social stratification. Journal of Archaeological Science, 71, 1--9.
# NOT RUN {
data(Events);
TempoActivityPlot(Events[1:1000, ], c(2:5), print.data.result = FALSE)
TempoActivityPlot(Events[1:1000, ], c(2:5), print.data.result = FALSE)
# }
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