cor.data

linear and nonlinear correlated data examples
A list object with various linear and nonlinear correlation structures

Utilities to support spatial data manipulation, query, sampling
and modelling in ecological applications. Functions include models for species
population density, spatial smoothing, multivariate separability, point process
model for creating pseudo- absences and sub-sampling, Quadrant-based sampling and
analysis, auto-logistic modeling, sampling models, cluster optimization, statistical
exploratory tools and raster-based metrics.

Jeffrey S Evans

spatialEco

Spatial Analysis and Modelling Utilities

Jeffrey S. Evans

Melanie A. Murphy

Karthik Ram

cor.data function

A list object with 4 elements containing data.frames:<dl>
 <dt>example 1</dt>
<dd>two columns with nonlinear wave function relationship</dd> <dt>example 2</dt>
<dd>two columns with simple nonlinear relationship</dd> <dt>example 3</dt>
<dd>two columns with nonlinear multi-level wave function relationship</dd> <dt>example 4</dt>
<dd>4 columns with first two having linear relationship</dd>
</dl>

Format

Various correlation structures — cor.data

A list object with 4 elements containing data.frames:<dl>
 <dt>example 1</dt>
<dd>two columns with nonlinear wave function relationship</dd>

 <dt>example 2</dt>
<dd>two columns with simple nonlinear relationship</dd>

 <dt>example 3</dt>
<dd>two columns with nonlinear multi-level wave function relationship</dd>

 <dt>example 4</dt>
<dd>4 columns with first two having linear relationship</dd>


</dl>

cor.data: Various correlation structures

Description

Arguments

Format