plot.distributional {provenance} | R Documentation |
Plot continuous data as histograms or cumulative age distributions
Description
Plot one or several samples from a distributional
dataset as
a histogram or Cumulative Age Distributions (CAD).
Usage
## S3 method for class 'distributional'
plot(
x,
snames = NULL,
annotate = TRUE,
CAD = FALSE,
pch = NA,
verticals = TRUE,
colmap = NULL,
...
)
Arguments
x |
an object of class |
snames |
a string or a vector of string with the names of the
samples that need plotting if |
annotate |
boolean flag indicating whether the x- and y-axis should be labelled |
CAD |
boolean flag indicating whether the data should be
plotted as a cumulative age distribution or a histogram. For
multi-sample plots, the function will override this value with
|
pch |
an optional symbol to mark the sample points along the CAD |
verticals |
boolean flag indicating if the horizontal lines of the CAD should be connected by vertical lines |
colmap |
an optional string with the name of one of R's built-in colour palettes (e.g., heat.colors, terrain.colors, topo.colors, cm.colors), which are to be used for plotting the data. |
... |
optional arguments to the generic |
Examples
data(Namib)
plot(Namib$DZ,c('N1','N2'))