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
tempo(object, ...)
# S4 method for EventsMCMC
tempo(
object,
level = 0.95,
count = FALSE,
credible = TRUE,
gauss = TRUE,
from = min(object),
to = max(object),
resolution = NULL
)
# S4 method for CumulativeEvents
autoplot(object, ..., credible = TRUE, gauss = TRUE)
# S4 method for CumulativeEvents,missing
plot(x, credible = TRUE, gauss = TRUE, ...)
# S4 method for CumulativeEvents
multiplot(...)
Arguments
- object
An
EventsMCMC
object.- ...
Any
CumulativeEvents
object.- level
A length-one
numeric
vector giving the confidence level.- count
A
logical
scalar: should the counting process be a number or a probability (the default)?- credible
A
logical
scalar: should the credible interval be computed/displayed?- gauss
A
logical
scalar: should the Gaussian approximation of the credible interval be computed/displayed?- from
A length-one
numeric
vector giving the earliest date to estimate for (in years).- to
A length-one
numeric
vector giving the latest date to estimate for (in years).- resolution
A length-one
numeric
vector specifying the temporal resolution (in years) at which densities are to be estimated. IfNULL
(the default), equally spaced points will be used (according tooptions("chronos.grid")
).- x
A
CumulativeEvents
object.
Value
tempo()
returns anCumulativeEvents
object.autoplot()
andmultiplot
return aggplot
object.plot()
is called it for its side-effects: it results in a graphic being displayed (invisibly returnsx
).
Details
The tempo plot is one way to measure change over time: it estimates the cumulative occurrence of archaeological events in a Bayesian calibration. The tempo plot yields a graphic where the slope of the plot directly reflects the pace of change: a period of rapid change yields a steep slope and a period of slow change yields a gentle slope. When there is no change, the plot is horizontal. When change is instantaneous, the plot is vertical.
References
Dye, T. S. (2016). Long-term rhythms in the development of Hawaiian social stratification. Journal of Archaeological Science, 71: 1-9. doi:10.1016/j.jas.2016.05.006 .
See also
Other event tools:
activity()
,
occurrence()
,
rec
,
roc()