whiskey

whiskey_brands

The data set is from Simmons Study of Media and Markets and contains
 the incidence matrix for scotch brands used in last year for those
 households who report consuming scotch.

datasets

A general framework for finite mixtures of regression
models using the EM algorithm is implemented. The E-step and all
data handling are provided, while the M-step can be supplied by the
user to easily define new models. Existing drivers implement
mixtures of standard linear models, generalized linear models and
model-based clustering.

Bettina Gruen

flexmix

Flexible Mixture Modeling

Friedrich Leisch

Deepayan Sarkar

Frederic Mortier

Nicolas Picard

whiskey function

A data frame <code>whiskey</code> with 484 observations on the following 2
 variables.<dl class="dl-horizontal">
 <dt><code>Freq</code></dt><dd>a numeric vector</dd>
 <dt><code>Incidence</code></dt><dd>a matrix with 21 columns</dd>
 </dl>Additional information on the brands is contained in the data frame
 <code>whiskey_brands</code> which is simultaneously loaded. This data frame
 contains 21 observations on the following 3 variables.<dl class="dl-horizontal">
 <dt><code>Brand</code></dt><dd>a character vector</dd>
 <dt><code>Type</code></dt><dd>a factor with levels <code>Blend</code> <code>Single Malt</code></dd>
 <dt><code>Bottled</code></dt><dd>a factor with levels <code>Domestic</code> <code>Foreign</code></dd>
 </dl>

Format

Survey Data on Brands of Scotch whiskey Consumed — whiskey

Survey Data on Brands of Scotch whiskey Consumed

whiskey: Survey Data on Brands of Scotch whiskey Consumed

Description

Usage

Arguments

Format

Details

References