corSymm

Re-exports <a href="/link/nlme%3A%3AcorSymm?package=pwr4exp&version=1.0.1" data-mini-rdoc="pwr4exp::nlme::corSymm">nlme::corSymm</a> from the nlme package.

Provides tools for calculating statistical power for experiments
analyzed using linear mixed models. It supports standard designs, including
randomized block, split-plot, and Latin Square designs, while offering flexibility
to accommodate a variety of other complex study designs.

Kai Wang

pwr4exp

Power Analysis for Research Experiments

Mutian Niu

corSymm function

<dl><dt>value</dt>
<dd>numeric vector of correlation parameter values</dd>
<dt>form</dt>
<dd>a one-sided formula of the form <code>~ t</code>, <code>~ 1 | g</code>, or <code>~ t | g</code>,
specifying a covariate <code>t</code>, a grouping factor <code>g</code>, or both. A covariate indicates
the order of the data rows in the residual error matrix of each group.</dd>
<dt>fixed</dt>
<dd>unused</dd></dl>

Arguments

Re-exports <a href='https://rdrr.io/pkg/nlme/man/corSymm.html'>nlme::corSymm</a> from the nlme package.

General Correlation Structure — corSymm

<dl>

<dt>value</dt>
<dd>numeric vector of correlation parameter values</dd>


<dt>form</dt>
<dd>a one-sided formula of the form <code>~ t</code>, <code>~ 1 | g</code>, or <code>~ t | g</code>,
specifying a covariate <code>t</code>, a grouping factor <code>g</code>, or both. A covariate indicates
the order of the data rows in the residual error matrix of each group.</dd>


<dt>fixed</dt>
<dd>unused</dd>

</dl>

corSymm: General Correlation Structure

Description

Usage

Arguments

See Also