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. If`NULL`

(the default), equally spaced points will be used (according to`options("chronos.grid")`

).- x
A

`CumulativeEvents`

object.

## Value

`tempo()`

returns an`CumulativeEvents`

object.`autoplot()`

and`multiplot`

return a`ggplot`

object.`plot()`

is called it for its side-effects: it results in a graphic being displayed (invisibly returns`x`

).

## 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()`