lawyers.covariates

Covariates on each of 71 lawyers in a northeastern American law firm.
Note the first column is a column of 1's.

datasets

Functions to facilitate model-based clustering of nodes in a network in a mixture of experts setting, which incorporates covariate information on the nodes in the modelling process. Isobel Claire Gormley and Thomas Brendan Murphy (2010) <doi:10.1016/j.stamet.2010.01.002>.

Claire Gormley

MEclustnet

Fit the Mixture of Experts Latent Position Cluster Model to
Network Data

Isobel Claire Gormley

Thomas Brendan Murphy

lawyers.covariates function

A data frame with 71 observations on the following 8 variables.<dl class="dl-horizontal">
<dt><code>Intercept</code></dt><dd>a column of 1s should always be the first column.</dd>
<dt><code>Seniority</code></dt><dd>a factor with levels <code>1</code> = partner, <code>2</code> = associate.</dd>
<dt><code>Gender</code></dt><dd>a factor with <code>1</code> = male, <code>2</code> = female.</dd>
<dt><code>Office</code></dt><dd>a factor with levels <code>1</code> = Boston, <code>2</code> = Hartford and <code>3</code> = Providence</dd>
<dt><code>Years</code></dt><dd>a numeric vector detailing years with the firm.</dd>
<dt><code>Age</code></dt><dd>a numeric vector detailing the age of each lawyer.</dd>
<dt><code>Practice</code></dt><dd>a factor with levels <code>1</code> = litigation and <code>2</code> = corporate.</dd>
<dt><code>School</code></dt><dd>a factor with levels <code>1</code> = Harvard or Yale, <code>2</code> = University of Connecticut and <code>3</code> = Other.</dd>
</dl>

Format

A matrix of covariates of the `Lazega Lawyers'. — lawyers.covariates

A data frame with 71 observations on the following 8 variables.<dl class='dl-horizontal'>
<dt><code>Intercept</code></dt><dd>a column of 1s should always be the first column.</dd>
<dt><code>Seniority</code></dt><dd>a factor with levels <code>1</code> = partner, <code>2</code> = associate.</dd>
<dt><code>Gender</code></dt><dd>a factor with <code>1</code> = male, <code>2</code> = female.</dd>
<dt><code>Office</code></dt><dd>a factor with levels <code>1</code> = Boston, <code>2</code> = Hartford and <code>3</code> = Providence</dd>
<dt><code>Years</code></dt><dd>a numeric vector detailing years with the firm.</dd>
<dt><code>Age</code></dt><dd>a numeric vector detailing the age of each lawyer.</dd>
<dt><code>Practice</code></dt><dd>a factor with levels <code>1</code> = litigation and <code>2</code> = corporate.</dd>
<dt><code>School</code></dt><dd>a factor with levels <code>1</code> = Harvard or Yale, <code>2</code> = University of Connecticut and <code>3</code> = Other.</dd>
</dl>

lawyers.covariates: A matrix of covariates of the `Lazega Lawyers'.

Description

Usage

Arguments

Format