cor_from_upper

Use to specify correlation matrix in convenient way
by giving entries of the upper triangular part.

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_from_upper function

<dl><dt>n_var</dt>
<dd>Integer, number of variables (= rows = columns of matrix).</dd>
<dt>entries</dt>
<dd>Matrix of correlation entries. Consists of 3 columns
(variable_1, variable_2, correlation) that specify both variables
and corresponding correlation in the upper triangular part of
the matrix (i.e. variable_1 &lt; variable_2) .</dd></dl>

Arguments

Build correlation matrix — cor_from_upper

<dl>

<dt>n_var</dt>
<dd>Integer, number of variables (= rows = columns of matrix).</dd>


<dt>entries</dt>
<dd>Matrix of correlation entries. Consists of 3 columns
(variable_1, variable_2, correlation) that specify both variables
and corresponding correlation in the upper triangular part of
the matrix (i.e. variable_1 &lt; variable_2) .</dd>

</dl>

cor_from_upper: Build correlation matrix

Description

Usage

Value

Arguments

See Also

Examples