ambition


In a study of ambition and attainment 7 variables are measured on 767
twelth grade males.  The variables are:
  <table><tr><td>
    $X1$ </td>
<td> : </td>
</tr><tr><td> father's education,</td>
<td>
    $X2$ </td>
</tr><tr><td> : </td>
<td> father's occupation,</td>
</tr><tr><td> 
    $X3$ </td>
<td> : </td>
</tr><tr><td> number of siblings,</td>
<td> 
    $X4$ </td>
</tr><tr><td> : </td>
<td> intelligence,</td>
</tr><tr><td> 
    $X5$ </td>
<td> : </td>
</tr><tr><td> grades,</td>
<td> 
    $X6$ </td>
</tr><tr><td> : </td>
<td> educational expectation,</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

ambition function

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

Format

Whittaker, J. (1990) <em>Graphical models in applied
    multivariate statistics</em>. Chichester: Wiley. (See Ch. 10.4).

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

ambition: Ambition and Attainment

Description

Usage

Arguments

Format

Source

Examples

$X1$	:
father's education,	$X2$
:	father's occupation,
$X3$	:
number of siblings,	$X4$
:	intelligence,
$X5$	:
grades,	$X6$
:	educational expectation,