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'.

Trevor Hastie

ISLR

Data for an Introduction to Statistical Learning with
Applications in R

Wage function

A data frame with 3000 observations on the following 11 variables.<dl class="dl-horizontal">
 <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 class='dl-horizontal'>
 <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