mroPara

Calculates required proportions, their differences, variance-covariance
matrices, standard errors of differences, and comparison intervals for differences,
over all of the data. To compute values over various subsets of another
explanatory variable, see <a href="/link/by?package=iNZightMR&version=2.3.0" data-mini-rdoc="iNZightMR::by">by</a>.

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

mroPara function

<dl><dt>obj</dt>
<dd>an MRO object created by <code>iNZightMR</code></dd>
<dt>conf.levels</dt>
<dd>confidence level to use, default is 1.96 for 95% intervals</dd>
<dt>nonparallel</dt>
<dd>Should these things be parallel?</dd></dl>

Arguments

Calculates required proportions, their differences, variance-covariance
matrices, standard errors of differences, and comparison intervals for differences,
over all of the data. To compute values over various subsets of another
explanatory variable, see <a href='https://rdrr.io/r/base/by.html'>by</a>.

Calculate MRO inference — mroPara

<dl>

<dt>obj</dt>
<dd>an MRO object created by <code>iNZightMR</code></dd>


<dt>conf.levels</dt>
<dd>confidence level to use, default is 1.96 for 95% intervals</dd>


<dt>nonparallel</dt>
<dd>Should these things be parallel?</dd>

</dl>

mroPara: Calculate MRO inference

Description

Usage

Value

Arguments

See Also

Examples