seMNprops

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

seMNprops function

<dl><dt>n</dt>
<dd>the number of observations in each group</dd>
<dt>phat</dt>
<dd>the estimates proportions for each group</dd></dl>

Arguments

Author

Compute SE for Multinomial proportions — seMNprops

<dl>

<dt>n</dt>
<dd>the number of observations in each group</dd>


<dt>phat</dt>
<dd>the estimates proportions for each group</dd>

</dl>

Compute SE for Multinomial proportions

seMNprops: Compute SE for Multinomial proportions

Description

Usage

Value

Arguments

Author

Examples