cor_to_cov

Rescale correlation matrix by variable standard deviations to yield a
covariance matrix.

Generate simulated datasets from an initial underlying
distribution and apply transformations to obtain realistic data. Implements
the 'NORTA' (Normal-to-anything) approach from Cario and Nelson (1997)
and other data generating mechanisms. Simple network visualization tools
are provided to facilitate communicating the simulation setup.

Michael Kammer

simdata

Generate Simulated Datasets

cor_to_cov function

<dl><dt>m</dt>
<dd>Symmetric correlation matrix.</dd>
<dt>sds</dt>
<dd>Standard deviations of the variables. Set to 1 for all varirables by default.</dd></dl>

Arguments

Convert correlation matrix to covariance matrix — cor_to_cov

<dl>

<dt>m</dt>
<dd>Symmetric correlation matrix.</dd>


<dt>sds</dt>
<dd>Standard deviations of the variables. Set to 1 for all varirables by default.</dd>

</dl>

cor_to_cov: Convert correlation matrix to covariance matrix

Description

Usage

Value

Arguments