## Load the disparity data based on Beck & Lee 2014
data(disparity)
## Discrete plotting
plot(disparity, type = "box")
## Using polygons rather than boxes (quantiles and central tendency can be
## set by the user)
plot(disparity, type = "polygon", quantiles = c(10, 50, 95),
cent.tend = mean)
## Using different options
plot(disparity, type = "line", elements = TRUE, ylim = c(0, 3),
xlab = ("Time (Ma)"), ylab = "disparity")
## Continuous plotting (all default options)
plot(disparity, type = "continuous")
## Rarefactions plots
plot(disparity, rarefaction = TRUE)
## Observed data
plot(disparity, observed = TRUE)
## Observed data with graphical details
plot(disparity, observed = list("pch" = 19, col = "blue", cex = 4))
## For plotting dispRity objects with the dual classes "randtest", "dtt",
## "model.test", "model.sim" and "test.metric" see the examples
## in the specific function manuals from the "See also" section above
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