dataqol.classif

This dataset contains the responses of 40 patients to 30 questions
 about their quality of life. Furthermore, a variable indicates if the patient
 survived the disease.

datsaets

Ordinal data classification, clustering and co-clustering using model-based approach with the BOS distribution for ordinal data (Christophe Biernacki and Julien Jacques (2016) <doi:10.1007/s11222-015-9585-2>).

Margot Selosse

ordinalClust

Ordinal Data Clustering, Co-Clustering and Classification

dataqol.classif function

A dataframe with 40 lines and 32 columns. A line represents
 a patient and a column contains information about the patients.<dl class="dl-horizontal">
	 <dt>Id</dt><dd>patient Id</dd>
	 <dt>q1-q28</dt><dd>responses to 28 questions with the number of levels equal to 4</dd>
	 <dt>q29-q30</dt><dd>responses to 22 questions with the number of levels equal to 7</dd>
		<dt>death</dt><dd>if the patient survived (1) or not (2)</dd>
	</dl>

Format

Questionnaire Responses Of Patients Affected By Breast Cancer — dataqol.classif

A dataframe with 40 lines and 32 columns. A line represents
 a patient and a column contains information about the patients.<dl class='dl-horizontal'>
	 <dt>Id</dt><dd>patient Id</dd>
	 <dt>q1-q28</dt><dd>responses to 28 questions with the number of levels equal to 4</dd>
	 <dt>q29-q30</dt><dd>responses to 22 questions with the number of levels equal to 7</dd>
		<dt>death</dt><dd>if the patient survived (1) or not (2)</dd>
	</dl>

dataqol.classif: Questionnaire Responses Of Patients Affected By Breast Cancer

Description

Usage

Arguments

Format