Plot Aoristic Analysis

Plot Aoristic Analysis

Usage

# S4 method for AoristicSum
autoplot(object, ..., facet = TRUE)

# S4 method for AoristicSum,missing
plot(x, facet = TRUE, ...)

# S4 method for RateOfChange
autoplot(object, ..., level = 0.95, facet = TRUE)

# S4 method for RateOfChange,missing
plot(x, level = 0.95, facet = TRUE, ...)

Arguments

object, x

An AoristicSum object.

...

Currently not used.

facet

A logical scalar: should a matrix of panels defined by groups be drawn?

level

A length-one numeric vector giving the confidence level.

Value

• autoplot() returns a ggplot object.

• plot() is called it for its side-effects: it results in a graphic being displayed (invisibly returns x).

See also

aoristic(), roc()

Other plotting methods: plot_event, plot_fit, plot_mcd, plot_time()

Author

N. Frerebeau

Examples

## Aoristic Analysis
data("zuni", package = "folio")

## Set the start and end dates for each ceramic type
dates <- list(
  LINO = c(600, 875), KIAT = c(850, 950), RED = c(900, 1050),
  GALL = c(1025, 1125), ESC = c(1050, 1150), PUBW = c(1050, 1150),
  RES = c(1000, 1200), TULA = c(1175, 1300), PINE = c(1275, 1350),
  PUBR = c(1000, 1200), WING = c(1100, 1200), WIPO = c(1125, 1225),
  SJ = c(1200, 1300), LSJ = c(1250, 1300), SPR = c(1250, 1300),
  PINER = c(1275, 1325), HESH = c(1275, 1450), KWAK = c(1275, 1450)
)

## Keep only assemblages that have a sample size of at least 10
keep <- apply(X = zuni, MARGIN = 1, FUN = function(x) sum(x) >= 10)

## Calculate date ranges for each assemblage
span <- apply(
  X = zuni[keep, ],
  FUN = function(x, dates) {
    z <- range(unlist(dates[x > 0]))
    names(z) <- c("from", "to")
    z
  },
  MARGIN = 1,
  dates = dates
)

## Coerce to data.frame
span <- as.data.frame(t(span))

## Calculate aoristic sum (normal)
aorist_raw <- aoristic(span, step = 50, weight = FALSE)
plot(aorist_raw)


## Calculate aoristic sum (weights)
aorist_weighted <- aoristic(span, step = 50, weight = TRUE)
plot(aorist_weighted)


## Calculate aoristic sum (weights) by group
groups <- rep(c("A", "B", "C"), times = c(50, 90, 139))
aorist_groups <- aoristic(span, step = 50, weight = TRUE, groups = groups)
plot(aorist_groups)


## Rate of change
roc_weighted <- roc(aorist_weighted, n = 30)
plot(roc_weighted)


## Rate of change by group
roc_groups <- roc(aorist_groups, n = 30)
plot(roc_groups)