loyalty

The loyalty data consist of 509 observations on the behaviour of 
customers with loyalty cards from a supermarket chain in Northern 
Italy. The response <code>y</code> is the amount in euros spent at the 
shop over six months and the explanatory variables are: 
X1, the number of visits to the supermarket in the six month period; 
X2, the age of the customer; 
X3, the number of members of the customers' family. 
To find out more about this data set please see Atkinson and Riani (2006), JCGS

datasets

Provides interface to the 'MATLAB' toolbox 'Flexible Statistical Data Analysis
(FSDA)' which is a comprehensive and computationally efficient
software package for robust statistics in regression, multivariate
and categorical data analysis. The current R version implements tools
for regression: (forward search, S- and MM-estimation, least trimmed
squares (LTS) and least median of squares (LMS)), for multivariate analysis
(forward search, S- and MM-estimation), for cluster analysis and cluster-wise regression.
The distinctive feature of our package is the possibility of
monitoring the statistics of interest as function of breakdown point,
efficiency or subset size, depending on the estimator. This is
accompanied by a rich set of graphical features, such as dynamic
brushing, linking, particularly useful for exploratory data analysis.

Valentin Todorov

fsdaR

Robust Data Analysis Through Monitoring and Dynamic
Visualization

Emmanuele Sordini

Aldo Corbellini

Francesca Torti

Marco Riani

Domenico Perrotta

Andrea Cerioli

loyalty function

A data frame with 509 observations on the following 4 variables.<dl class="dl-horizontal">
 <dt><code>visits</code></dt><dd>the number of visits to the supermarket in the six month period</dd>
 <dt><code>age</code></dt><dd>the age of the customer</dd>
 <dt><code>family</code></dt><dd>the number of members of the customers' family</dd>
 <dt><code>amount_spent</code></dt><dd>the amount in euros spent at the shop over six months</dd>
 </dl>

Format

Loyalty data — loyalty

A data frame with 509 observations on the following 4 variables.<dl class='dl-horizontal'>
 <dt><code>visits</code></dt><dd>the number of visits to the supermarket in the six month period</dd>
 <dt><code>age</code></dt><dd>the age of the customer</dd>
 <dt><code>family</code></dt><dd>the number of members of the customers' family</dd>
 <dt><code>amount_spent</code></dt><dd>the amount in euros spent at the shop over six months</dd>
 </dl>

loyalty: Loyalty data

Description

Usage

Arguments

Format

Details

References

Examples