calcmissing

calcmissing.data.frame

calcmissing.mro

Calculates the summary of missingness in a data set.

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

calcmissing function

<dl><dt>obj</dt>
<dd>An object</dd>
<dt>...</dt>
<dd>additional arguments</dd>
<dt>MRO.case</dt>
<dd>does something with rownames</dd></dl>

Arguments

<ul>
<li><code>calcmissing(data.frame)</code>: Method for a dataframe</li>
<li><code>calcmissing(mro)</code>: accepts a whole mr.object , which is first mro.mat, second element labels,
third element the input data frame.</li>
</ul>

Methods (by class)

Author

Calculate missing observation summary — calcmissing

<dl>

<dt>obj</dt>
<dd>An object</dd>


<dt>...</dt>
<dd>additional arguments</dd>


<dt>MRO.case</dt>
<dd>does something with rownames</dd>

</dl>

calcmissing: Calculate missing observation summary

Description

Usage

Value

Arguments

Methods (by class)

Author

See Also

Examples