bloodpressure


In a study on relating blood pressure to age, weight, and stress at
work, 6 measurements are taken on 98 subjects.  The variables are:
  <table><tr><td>
    $a$ </td>
<td> : </td>
</tr><tr><td> age,</td>
<td> 
    $b$ </td>
</tr><tr><td> : </td>
<td> weight,</td>
</tr><tr><td>
    $c$ </td>
<td> : </td>
</tr><tr><td> anger at work,</td>
<td>
    $d$ </td>
</tr><tr><td> : </td>
<td> anxiety at work,</td>
</tr><tr><td>
    $e$ </td>
<td> : </td>
</tr><tr><td> diastolic blood pressure,</td>
<td>
    $a$ </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

bloodpressure function

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

Format

Whittaker, J. (1990) <em>Graphical models in applied
    multivariate statistics</em>. Chichester: Wiley. (See p.343).

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

bloodpressure: Blood Pressure

Description

Usage

Arguments

Format

Source

Examples

$a$	:
age,	$b$
:	weight,
$c$	:
anger at work,	$d$
:	anxiety at work,
$e$	:
diastolic blood pressure,	$a$