Duncan

The <code>Duncan</code> data frame has 45 rows and 4 columns.
 Data on the prestige and other characteristics of 45 U. S. occupations in 1950.

datasets


Functions and Datasets to Accompany J. Fox and S. Weisberg,
An R Companion to Applied Regression, Second Edition, Sage, 2011.

John Fox

Companion to Applied Regression

Sanford Weisberg

Daniel Adler

Douglas Bates

Gabriel Baud-Bovy

Steve Ellison

David Firth

Michael Friendly

Gregor Gorjanc

Spencer Graves

Richard Heiberger

Rafael Laboissiere

Georges Monette

Duncan Murdoch

Henric Nilsson

Derek Ogle

Brian Ripley

William Venables

David Winsemius

Achim Zeileis

R-Core 

Duncan function

This data frame contains the following columns:<dl class="dl-horizontal">
 <dt>type</dt><dd>Type of occupation.
 A factor with the following levels:
 <code>prof</code>, professional and managerial;
 <code>wc</code>, white-collar;
 <code>bc</code>, blue-collar.</dd>
 <dt>income</dt><dd>Percent of males in occupation earning $3500 or more in 1950.</dd>
 <dt>education</dt><dd>Percent of males in occupation in 1950 who were high-school graduates.</dd>
 <dt>prestige</dt><dd>Percent of raters in NORC study rating occupation as excellent or good in prestige.</dd>
 </dl>

Format

Duncan's Occupational Prestige Data — Duncan

This data frame contains the following columns:<dl class='dl-horizontal'>
 <dt>type</dt><dd>Type of occupation.
 A factor with the following levels:
 <code>prof</code>, professional and managerial;
 <code>wc</code>, white-collar;
 <code>bc</code>, blue-collar.</dd>
 <dt>income</dt><dd>Percent of males in occupation earning $3500 or more in 1950.</dd>
 <dt>education</dt><dd>Percent of males in occupation in 1950 who were high-school graduates.</dd>
 <dt>prestige</dt><dd>Percent of raters in NORC study rating occupation as excellent or good in prestige.</dd>
 </dl>

Duncan's Occupational Prestige Data

Duncan: Duncan's Occupational Prestige Data

Description

Usage

Arguments

Format

References