seCovs

Compute the standard error information for a given covariance matrix.

Interaction and analysis of multiple response data,
along with other tools for analysing these types of data including
missing value analysis and calculation of standard errors for
a range of covariance matrix results (proportions, multinomial,
independent samples, and multiple response).

Tom M. Elliott

iNZightMR

Tools for Exploring Multiple Response Data

Tom Elliott

Junjie Zeng

Simon Potter

seCovs function

<dl><dt>covs</dt>
<dd>covariance matrix</dd>
<dt>addbase</dt>
<dd>logical, is there a baseline?</dd></dl>

Arguments

Author

Compute standard error for covariance matrix — seCovs

<dl>

<dt>covs</dt>
<dd>covariance matrix</dd>


<dt>addbase</dt>
<dd>logical, is there a baseline?</dd>

</dl>

seCovs: Compute standard error for covariance matrix

Description

Usage

Value

Arguments

Author

Examples