plot.PCA

optional arguments of the <code>biplot</code> function


Plot the results of a principal components analysis as a biplot


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.PCA: Compositional biplot

Description

Usage

Arguments

See Also

Examples