Produces an abundance vs time diagram.
Arguments
- object
A \(m \times p\)
numeric
matrix
ordata.frame
of count data (absolute frequencies giving the number of individuals for each category, i.e. a contingency table). Adata.frame
will be coerced to anumeric
matrix
viadata.matrix()
.- dates
A
numeric
vector of dates.- ...
Further parameters to be passed to
aion::plot()
.- calendar
An
aion::TimeScale
object specifying the target calendar (seecalendar()
).
Value
plot_time()
is called it for its side-effects: it results in a graphic
being displayed (invisibly returns object
).
See also
Other plotting methods:
plot_aoristic
,
plot_event
,
plot_fit
,
plot_mcd
Examples
## Data from Crema et al. 2016
data("merzbach", package = "folio")
## Coerce the merzbach dataset to a count matrix
## Keep only decoration types that have a maximum frequency of at least 50
keep <- apply(X = merzbach, MARGIN = 2, FUN = function(x) max(x) >= 50)
counts <- merzbach[, keep]
## Set dates
## We use the row names as time coordinates (roman numerals)
dates <- as.numeric(utils::as.roman(rownames(counts)))
## Plot abundance vs time
plot_time(counts, dates, calendar = NULL, ncol = 3, xlab = "Phases")