Wage

Wage and other data for a group of 3000 male workers in the
 Mid-Atlantic region.

datasets

We provide the collection of data-sets used in the book 'An Introduction to Statistical Learning with Applications in R, Second Edition'. These include many data-sets that we used in the first edition (some with minor changes), and some new datasets.

Trevor Hastie

ISLR2

Introduction to Statistical Learning, Second Edition

Gareth James

Daniela Witten

Rob Tibshirani

Balasubramanian Narasimhan

Wage function

A data frame with 3000 observations on the following 11 variables.<dl>
 <dt><code>year</code></dt>
<dd>Year that wage information was recorded</dd> <dt><code>age</code></dt>
<dd>Age of worker</dd> <dt><code>maritl</code></dt>
<dd>A factor with levels <code>1. Never Married</code>
 <code>2. Married</code> <code>3. Widowed</code> <code>4. Divorced</code> and
 <code>5. Separated</code> indicating marital status</dd> <dt><code>race</code></dt>
<dd>A factor with levels <code>1. White</code>
 <code>2. Black</code> <code>3. Asian</code> and <code>4. Other</code> indicating race</dd> <dt><code>education</code></dt>
<dd>A factor with levels <code>1. &lt; HS Grad</code>
 <code>2. HS Grad</code> <code>3. Some College</code> <code>4. College Grad</code>
 and <code>5. Advanced Degree</code> indicating education level</dd> <dt><code>region</code></dt>
<dd>Region of the country (mid-atlantic only)</dd> <dt><code>jobclass</code></dt>
<dd>A factor with levels <code>1. Industrial</code> and
 <code>2. Information</code> indicating type of job</dd> <dt><code>health</code></dt>
<dd>A factor with levels <code>1. &lt;=Good</code> and
 <code>2. &gt;=Very Good</code> indicating health level of worker</dd> <dt><code>health_ins</code></dt>
<dd>A factor with levels <code>1. Yes</code> and
 <code>2. No</code> indicating whether worker has health insurance</dd> <dt><code>logwage</code></dt>
<dd>Log of workers wage</dd> <dt><code>wage</code></dt>
<dd>Workers raw wage</dd> 
</dl>

Format

Mid-Atlantic Wage Data
 — Wage

A data frame with 3000 observations on the following 11 variables.<dl>
 <dt><code>year</code></dt>
<dd>Year that wage information was recorded</dd>

 <dt><code>age</code></dt>
<dd>Age of worker</dd>

 <dt><code>maritl</code></dt>
<dd>A factor with levels <code>1. Never Married</code>
 <code>2. Married</code> <code>3. Widowed</code> <code>4. Divorced</code> and
 <code>5. Separated</code> indicating marital status</dd>

 <dt><code>race</code></dt>
<dd>A factor with levels <code>1. White</code>
 <code>2. Black</code> <code>3. Asian</code> and <code>4. Other</code> indicating race</dd>

 <dt><code>education</code></dt>
<dd>A factor with levels <code>1. &lt; HS Grad</code>
 <code>2. HS Grad</code> <code>3. Some College</code> <code>4. College Grad</code>
 and <code>5. Advanced Degree</code> indicating education level</dd>

 <dt><code>region</code></dt>
<dd>Region of the country (mid-atlantic only)</dd>

 <dt><code>jobclass</code></dt>
<dd>A factor with levels <code>1. Industrial</code> and
 <code>2. Information</code> indicating type of job</dd>

 <dt><code>health</code></dt>
<dd>A factor with levels <code>1. &lt;=Good</code> and
 <code>2. &gt;=Very Good</code> indicating health level of worker</dd>

 <dt><code>health_ins</code></dt>
<dd>A factor with levels <code>1. Yes</code> and
 <code>2. No</code> indicating whether worker has health insurance</dd>

 <dt><code>logwage</code></dt>
<dd>Log of workers wage</dd>

 <dt><code>wage</code></dt>
<dd>Workers raw wage</dd>

 
</dl>

Wage: Mid-Atlantic Wage Data

Description

Usage

Arguments

Format

References

Examples