convert_blockcolumn_rownames

Detect externally generated blocking columns and convert to rownames

internal

Generates and evaluates D, I, A, Alias, E, T, and G optimal designs. Supports generation and evaluation of blocked and split/split-split/.../N-split plot designs. Includes parametric and Monte Carlo power evaluation functions, and supports calculating power for censored responses. Provides a framework to evaluate power using functions provided in other packages or written by the user. Includes a Shiny graphical user interface that displays the underlying code used to create and evaluate the design to improve ease-of-use and make analyses more reproducible. For details, see Morgan-Wall et al. (2021) <doi:10.18637/jss.v099.i01>.

Tyler Morgan-Wall

skpr

Design of Experiments Suite: Generate and Evaluate Optimal
Designs

George Khoury

convert_blockcolumn_rownames function

<dl><dt>RunMatrix</dt>
<dd>The run matrix</dd>
<dt>blocking</dt>
<dd>Whether random effects should be included.</dd>
<dt>varianceratios</dt>
<dd>A vector of variance ratios for each level of restricted randomization</dd></dl>

Arguments

Convert Block Column to Rownames — convert_blockcolumn_rownames

<dl>

<dt>RunMatrix</dt>
<dd>The run matrix</dd>


<dt>blocking</dt>
<dd>Whether random effects should be included.</dd>


<dt>varianceratios</dt>
<dd>A vector of variance ratios for each level of restricted randomization</dd>

</dl>

convert_blockcolumn_rownames: Convert Block Column to Rownames

Description

Usage

Value

Arguments