PURCHASE

datasets

Contains basic tools for visualizing, interpreting, and building regression models. It has been designed for use with the book Introduction to Regression and Modeling with R by Adam Petrie, Cognella Publishers, ISBN: 978-1-63189-250-9 <https://titles.cognella.com/introduction-to-regression-and-modeling-with-r-9781631892509>.

Adam Petrie

regclass

Tools for an Introductory Class in Regression and Modeling

PURCHASE function

A data frame with 27723 observations on the following 6 variables.<dl class="dl-horizontal">
 <dt><code>Purchase</code></dt><dd>a factor with levels <code>Buy</code> <code>No</code>, whether the customer made a purchase in the following 30 days</dd>
 <dt><code>Visits</code></dt><dd>a numeric vector, number of visits customer has made to the chain in last 90 days</dd>
 <dt><code>Spent</code></dt><dd>a numeric vector, amount of money customer has spent at the chain the last 90 days</dd>
 <dt><code>PercentClose</code></dt><dd>a numeric vector, the percentage of customers' purchases that occur within 5 miles of their home</dd>
 <dt><code>Closest</code></dt><dd>a numeric vector, the distance between the customer's home and the nearest store in the chain</dd>
 <dt><code>CloseStores</code></dt><dd>a numeric vector, the number of stores in the chain within 5 miles of the customer's home</dd>
 </dl>

Format

PURCHASE data — PURCHASE

A data frame with 27723 observations on the following 6 variables.<dl class='dl-horizontal'>
 <dt><code>Purchase</code></dt><dd>a factor with levels <code>Buy</code> <code>No</code>, whether the customer made a purchase in the following 30 days</dd>
 <dt><code>Visits</code></dt><dd>a numeric vector, number of visits customer has made to the chain in last 90 days</dd>
 <dt><code>Spent</code></dt><dd>a numeric vector, amount of money customer has spent at the chain the last 90 days</dd>
 <dt><code>PercentClose</code></dt><dd>a numeric vector, the percentage of customers' purchases that occur within 5 miles of their home</dd>
 <dt><code>Closest</code></dt><dd>a numeric vector, the distance between the customer's home and the nearest store in the chain</dd>
 <dt><code>CloseStores</code></dt><dd>a numeric vector, the number of stores in the chain within 5 miles of the customer's home</dd>
 </dl>

PURCHASE: PURCHASE data

Description

Usage

Arguments

Format

Details