truelove_results

This list object is an example of the output produced by function runModels. It was produced by the following script, and is provided to reduce the computation load of some of the examples in this library.

<code>data=truelove</code>

<code>distancematrix&lt;-calc.dist(truelove)</code>

<code>Truelove_bins&lt;-make.bin(distancematrix,type="ALL",p.dist=20)</code>

<code>binsize&lt;-Truelove_bins[1][[1]] #truelove lowland bin sizes}

<code>binname&lt;-Truelove_bins[2][[1]] #truelove lowland bin names}

<code>covariances&lt;-make.covar(truelove,distancematrix,binsize,binname)</code>

path model for the truelove dataset:

	spatial_model&lt;-'

	Gram ~ Moisture

	N_Fix ~ Bryoph + Lich + SoilCrust

	SoilCrust ~ Bryoph + Lich + Gram + Shrubs + Forbs

	Bryoph ~ Gram + Shrubs + Forbs + Moisture

	Lich ~ Moisture + Forbs + Gram + Shrubs + Bryoph

	Forbs ~ Moisture

	Gram ~~ Forbs

	Shrubs ~ Moisture	

	Gram ~~ Shrubs

	Shrubs ~~ Forbs'

<code>results&lt;-runModels(spatial_model,covariances)</code></code>
<seealso><code><a href="/link/calc.dist?package=sesem&version=1.0.1" rd-options="" data-mini-rdoc="sesem::calc.dist">calc.dist</a></code>, <code><a href="/link/make.bin?package=sesem&version=1.0.1" rd-options="" data-mini-rdoc="sesem::make.bin">make.bin</a></code>, <code><a href="/link/make.covar?package=sesem&version=1.0.1" rd-options="" data-mini-rdoc="sesem::make.covar">make.covar</a></code>, <code><a href="/link/runModels?package=sesem&version=1.0.1" rd-options="" data-mini-rdoc="sesem::runModels">runModels</a></code></seealso>
<keyword>datasets</keyword></code>

Structural equation modeling (SEM) is a powerful statistical
    approach for the testing of networks of direct and indirect theoretical
    causal relationships in complex datasets with intercorrelated dependent and
    independent variables. Here we implement a simple method for spatially
    explicit SEM (SE-SEM) based on the analysis of variance covariance matrices
    calculated across a range of lag distances. This method provides readily
    interpretable plots of the change in path coefficients across scale.

Eric Lamb

sesem

Spatially explicit structural equation modeling

truelove_results function

A list object sesem results for the truelove path model and 11 lag distance bins.

truelove_results: Truelove lowland example sesem output

Description

Arguments

format