car: Qualitative data : Car Evaluation

In MixAll: Clustering and Classification using Model-Based Mixture Models

Description

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.

Format

A data frame with 1728 observations on the following 6 variables.

buying

the buying price (4 modalities: vhigh, high, med, low)

maint

the price of the maintenance (4 modalities: vhigh, high, med, low)

doors

the number of doors (4 modalities: 2, 3, 4, 5more)

persons

the capacity in terms of persons to carry (3 modalities: 2, 4, more)

lug_boot

the size of luggage boot (3 modalities: small, med, big)

safety

the estimated safety of the car (3 modalities: low, med, high)

acceptability

the car acceptability (4 modalities: unacc, acc, good, vgood)

Source

Creator: Marko Bohanec Donors: Marko Bohanec & Blaz Zupan http://archive.ics.uci.edu/ml/datasets/Car+Evaluation

Examples

  data(car)

Example output

Loading required package: rtkore
Loading required package: Rcpp

Attaching package: 'rtkore'

The following object is masked from 'package:Rcpp':

    LdFlags

MixAll documentation built on Sept. 12, 2019, 5:05 p.m.