Car Evaluation Database was derived from a simple hierarchical decision model
originally developed for the demonstration of DEX, M. Bohanec, V. Rajkovic:
Expert system for decision making.

datasets

Algorithms and methods for model-based clustering and classification.
It supports various types of data: continuous, categorical and counting
and can handle mixed data of these types. It can fit Gaussian (with diagonal
covariance structure), gamma, categorical and Poisson models. The algorithms
also support missing values. This package can be used as an independent alternative to the
(not free) 'mixtcomp' software available at <https://massiccc.lille.inria.fr/>.

Serge Iovleff

MixAll

Clustering and Classification using Model-Based Mixture Models

Parmeet Bathia

car function

A data frame with 1728 observations on the following 6 variables.<dl class="dl-horizontal">
 <dt><code>buying</code></dt><dd>the buying price (4 modalities: vhigh, high, med, low)</dd>
 <dt><code>maint</code></dt><dd>the price of the maintenance (4 modalities: vhigh, high, med, low)</dd>
 <dt><code>doors</code></dt><dd>the number of doors (4 modalities: 2, 3, 4, 5more)</dd>
 <dt><code>persons</code></dt><dd>the capacity in terms of persons to carry (3 modalities: 2, 4, more)</dd>
 <dt><code>lug_boot</code></dt><dd>the size of luggage boot (3 modalities: small, med, big)</dd>
 <dt><code>safety</code></dt><dd>the estimated safety of the car (3 modalities: low, med, high)</dd>
 <dt><code>acceptability</code></dt><dd>the car acceptability (4 modalities: unacc, acc, good, vgood)</dd>
</dl>

Format

Qualitative data : Car Evaluation — car

A data frame with 1728 observations on the following 6 variables.<dl class='dl-horizontal'>
 <dt><code>buying</code></dt><dd>the buying price (4 modalities: vhigh, high, med, low)</dd>
 <dt><code>maint</code></dt><dd>the price of the maintenance (4 modalities: vhigh, high, med, low)</dd>
 <dt><code>doors</code></dt><dd>the number of doors (4 modalities: 2, 3, 4, 5more)</dd>
 <dt><code>persons</code></dt><dd>the capacity in terms of persons to carry (3 modalities: 2, 4, more)</dd>
 <dt><code>lug_boot</code></dt><dd>the size of luggage boot (3 modalities: small, med, big)</dd>
 <dt><code>safety</code></dt><dd>the estimated safety of the car (3 modalities: low, med, high)</dd>
 <dt><code>acceptability</code></dt><dd>the car acceptability (4 modalities: unacc, acc, good, vgood)</dd>
</dl>

car: Qualitative data : Car Evaluation

Description

Arguments

Format

Examples