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


Datasets to Accompany J. Fox and S. Weisberg,
An R Companion to Applied Regression, Third Edition, Sage (2019).

John Fox

carData

Companion to Applied Regression Data Sets

Sanford Weisberg

Brad Price

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>Percentage of occupational incumbents in the 1950 US Census who earned $3,500 or more per year (about $36,000 in 2017 US dollars).</dd>
 <dt>education</dt><dd>Percentage of occupational incumbents in 1950 who were high school graduates (which, were we cynical, we would say is roughly equivalent to a PhD in 2017)</dd>
 <dt>prestige</dt><dd>Percentage of respondents in a social survey who rated the occupation as ``good'' or better 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>Percentage of occupational incumbents in the 1950 US Census who earned $3,500 or more per year (about $36,000 in 2017 US dollars).</dd>
 <dt>education</dt><dd>Percentage of occupational incumbents in 1950 who were high school graduates (which, were we cynical, we would say is roughly equivalent to a PhD in 2017)</dd>
 <dt>prestige</dt><dd>Percentage of respondents in a social survey who rated the occupation as ``good'' or better in prestige</dd>
 </dl>

Duncan: Duncan's Occupational Prestige Data

Description

Usage

Arguments

Format

References