gen_cov_matrix

generate covariance matrix between two variables

internal

Estimates power, minimum detectable effect size (MDES) and sample size requirements. The context is multilevel randomized experiments with multiple outcomes. The estimation takes into account the use of multiple testing procedures. Development of this package was supported by a grant from the Institute of Education Sciences (R305D170030). For a full package description, including a detailed technical appendix, see <doi:10.18637/jss.v108.i06>.

Luke Miratrix

PUMP

Power Under Multiplicity Project

Kristen Hunter

Zarni Htet

Kristin Porter

MDRC 

Institute of Education Sciences 

gen_cov_matrix function

<dl><dt>D</dt>
<dd>dimension of matrix</dd>
<dt>var1.vec</dt>
<dd>vector of variances of first variable</dd>
<dt>var2.vec</dt>
<dd>vector of variances of second variable</dd>
<dt>rho.matrix</dt>
<dd>matrix of correlations</dd></dl>

Arguments

generate covariance matrix between two variables — gen_cov_matrix

<dl>

<dt>D</dt>
<dd>dimension of matrix</dd>


<dt>var1.vec</dt>
<dd>vector of variances of first variable</dd>


<dt>var2.vec</dt>
<dd>vector of variances of second variable</dd>


<dt>rho.matrix</dt>
<dd>matrix of correlations</dd>

</dl>

gen_cov_matrix: generate covariance matrix between two variables

Description

Usage

Value

Arguments