plot.distributional

an object of class <code>distributional</code>

a string or a vector of string with the names of the
samples that need plotting if <code>snames</code> is a vector, then
the function will default to a CAD.

snames

boolean flag indicating whether the x- and y-axis
should be labeled

annotate

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
<code>TRUE</code>.

an optional symbol to mark the sample points along the
CAD

boolean flag indicating if the horizontal lines of
the CAD should be connected by vertical lines

verticals

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.

colmap

optional arguments to the generic <code>plot</code> function


Plot one or several samples from a <code>distributional</code> dataset as
a histogram or Cumulative Age Distributions (CAD).


Bundles a number of established statistical methods to facilitate
the visual interpretation of large datasets in sedimentary geology. Includes
functionality for adaptive kernel density estimation, multidimensional scaling,
generalised procrustes analysis and individual differences scaling using a
variety of dissimilarity measures. Univariate provenance proxies, such as
single-grain ages or (isotopic) compositions are compared with the Kolmogorov-
Smirnov dissimilarity and Sircombe-Hazelton L2-norm. Categorical provenance
proxies, such as mineralogical, petrographic or chemical compositions are
compared with the Aitchison and Bray-Curtis distances. Also included are tools
to plot compositional data on ternary diagrams, to calculate the sample size
required for specified levels of statistical precision, and to assess the
effects of hydraulic sorting on detrital compositions. Includes an intuitive
query-based user interface for users who are not proficient in R.

plot.distributional: Plot continuous data as histograms or cumulative age distributions

Description

Usage

Arguments

Examples