ksdist

Given a list of numerical vectors, fills a square
 matrix with Kolmogorov-Smirnov statistics.

A collection of datasets and simplified functions for an introductory (geo)statistics module at University College London. Provides functionality for compositional, directional and spatial data, including ternary diagrams, Wulff and Schmidt stereonets, and ordinary kriging interpolation. Implements logistic and (additive and centred) logratio transformations. Computes vector averages and concentration parameters for the von-Mises distribution. Includes a collection of natural and synthetic fractals, and a simulator for deterministic chaos using a magnetic pendulum example. The main purpose of these functions is pedagogical. Researchers can find more complete alternatives for these tools in other packages such as 'compositions', 'robCompositions', 'sp', 'gstat' and 'RFOC'. All the functions are written in plain R, with no compiled code and a minimal number of dependencies. Theoretical background and worked examples are available at <https://tinyurl.com/UCLgeostats/>.

Pieter Vermeesch

geostats

An Introduction to Statistics for Geoscientists

ksdist function

<dl><dt>dat</dt>
<dd>a list of numerical data vectors</dd></dl>

Arguments

Kolmogorov-Smirnov distance matrix — ksdist

<dl>

<dt>dat</dt>
<dd>a list of numerical data vectors</dd>

</dl>

ksdist: Kolmogorov-Smirnov distance matrix

Description

Usage

Value

Arguments

Examples