plot.glsPower

Up to four plots (selectable by `which`) that visualise:
the contribution of each cluster-period cell to the treatment effect estimator,
the information content of each cluster-period cell,
the treatment status for each cluster for each time point and
the covariance matrix. By default, only the first two plots are returned.

Tools for power and sample size
calculation as well as design diagnostics for
longitudinal mixed model settings, with a focus on stepped wedge designs.
All calculations are oracle estimates i.e. assume random effect variances
to be known (or guessed) in advance.
The method is introduced in Hussey and Hughes (2007) <doi:10.1016/j.cct.2006.05.007>,
extensions are discussed in Li et al. (2020) <doi:10.1177/0962280220932962>.

Philipp Mildenberger

SteppedPower

Power Calculation for Stepped Wedge Designs

Federico Marini

plot.glsPower function

<dl><dt>x</dt>
<dd>object of class glsPower</dd>
<dt>which</dt>
<dd>Specify a subset of the numbers `1:4` to select plots. The default is
`1:2` or `1`, depending on whether `x` contains the information content.</dd>
<dt>show_colorbar</dt>
<dd>logical, should the colorbars be shown?</dd>
<dt>annotations</dt>
<dd>logical, should the cell contributions be annotated in the Plot?</dd>
<dt>annotation_size</dt>
<dd>font size of annotation in influence plots</dd>
<dt>marginal_plots</dt>
<dd>should the influence of whole periods, clusters also be plotted?</dd>
<dt>...</dt>
<dd>Arguments to be passed to methods</dd></dl>

Arguments

plot an object of class `glsPower` — plot.glsPower

<dl>

<dt>x</dt>
<dd>object of class glsPower</dd>


<dt>which</dt>
<dd>Specify a subset of the numbers `1:4` to select plots. The default is
`1:2` or `1`, depending on whether `x` contains the information content.</dd>


<dt>show_colorbar</dt>
<dd>logical, should the colorbars be shown?</dd>


<dt>annotations</dt>
<dd>logical, should the cell contributions be annotated in the Plot?</dd>


<dt>annotation_size</dt>
<dd>font size of annotation in influence plots</dd>


<dt>marginal_plots</dt>
<dd>should the influence of whole periods, clusters also be plotted?</dd>


<dt>...</dt>
<dd>Arguments to be passed to methods</dd>

</dl>

plot.glsPower: plot an object of class `glsPower`

Description

Usage

Value

Arguments