socstatus


In a study on the relationship between social status and participation,
6 variables are measured for a sample of 530 women:
  <table><tr><td>
    $X1$ </td>
<td> : </td>
</tr><tr><td> income,</td>
<td>
    $X2$ </td>
</tr><tr><td> : </td>
<td> occupation,</td>
</tr><tr><td>
    $X3$ </td>
<td> : </td>
</tr><tr><td> education,</td>
<td>
    $Y1$ </td>
</tr><tr><td> : </td>
<td> church attendance,</td>
</tr><tr><td>
    $Y2$ </td>
<td> : </td>
</tr><tr><td> memberships,</td>
<td>
    $X1$ </td>
</tr></table>


datasets

This package provides routines to perform SIN model selection
as described in Drton & Perlman (2004, 2008).  The selected models are
represented in the format of the 'ggm' package, which allows in
particular parameter estimation in the selected model.

Mathias Drton

A SINful Approach to Selection of Gaussian Graphical Markov
Models

socstatus function

A list providing a summary of the data. The list contains:
  <table><tr><td>
    <code>socstatus$means</code> </td>
<td> : </td>
</tr><tr><td> the mean vector,</td>
<td> 
    <code>socstatus$stddev</code>   </td>
</tr><tr><td> : </td>
<td> the vector of standard deviations,</td>
</tr><tr><td>
    <code>socstatus$corr</code> </td>
<td> : </td>
</tr><tr><td> the correlation matrix, and </td>
<td>
    <code>socstatus$means</code> </td>
</tr></table>

Format

Whittaker, J. (1990) <em>Graphical models in applied
    multivariate statistics</em>. Chichester: Wiley. (See p.327).

`socstatus$means`	:
the mean vector,	`socstatus$stddev`
:	the vector of standard deviations,
`socstatus$corr`	:
the correlation matrix, and	`socstatus$means`

socstatus: Social Status and Participation

Description

Usage

Arguments

Format

Source

Examples

$X1$	:
income,	$X2$
:	occupation,
$X3$	:
education,	$Y1$
:	church attendance,
$Y2$	:
memberships,	$X1$