TempoActivityPlot {ArchaeoPhases} | R Documentation |
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 |
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 |
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 |
height |
Height of the plot in |
units |
Units used to specify |
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 |
x.scale |
One of "calendar", "bp", or "elapsed". |
elapsed.origin.position |
If |
newWindow |
Whether or not the plot is drawn within a new window . |
print.data.result |
If |
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).
Anne Philippe, Anne.Philippe@univ-nantes.fr and
Marie-Anne Vibet, Marie-Anne.Vibet@univ-nantes.fr
Dye, T.S. (2016) Long-term rhythms in the development of Hawaiian social stratification. Journal of Archaeological Science, 71, 1–9.
data(Events);
TempoActivityPlot(Events[1:1000, ], c(2:5), print.data.result = FALSE)
TempoActivityPlot(Events[1:1000, ], c(2:5), print.data.result = FALSE)