randy

Returns bivariate datasets from four synthetic
 distributions that have the shape of a circle, arrow, square
 and ellipse.

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

randy function

<dl><dt>pop</dt>
<dd>an integer from 1 to 4 marking the population of choice:
1 = circle, 2 = arrow, 3 = solid square, 4 = ellipse.</dd>
<dt>n</dt>
<dd>the number of random draws to be drawn from population <code>pop</code></dd></dl>

Arguments

generate bivariate random data — randy

<dl>

<dt>pop</dt>
<dd>an integer from 1 to 4 marking the population of choice:
1 = circle, 2 = arrow, 3 = solid square, 4 = ellipse.</dd>


<dt>n</dt>
<dd>the number of random draws to be drawn from population <code>pop</code></dd>

</dl>

randy: generate bivariate random data

Description

Usage

Value

Arguments

Examples