subset.compositional

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

logical expression indicating elements or rows to keep:
missing values are taken as false.

subset

select

components

optional arguments for the generic subset function

Return a subset of provenance data according to some specified indices

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.

subset.compositional: Get a subset of a compositional dataset

Description

Usage

Arguments

Value

See Also