satisfaction

The data set consists of 235 rows and 5 columns.
The rows represent the individuals (patients in an hospital) and the columns concern the five variables of satisfaction 
(Tangibility, Reliability, Capacity of Response, Capacity of Assurance and Empathy

datasets

Provides two variants of multiple correspondence analysis (ca):
multiple ca and ordered multiple ca via orthogonal polynomials of Emerson.

Rosaria Lombardo

MCAvariants

Multiple Correspondence Analysis Variants

satisfaction function

A data frame with 235 observations on the following 5 variables.<dl>
 <dt><code>TANG</code></dt>
<dd>a numeric vector of ordered categories ranging from 1 to 5.</dd> <dt><code>REL</code></dt>
<dd>a numeric vector of ordered categories ranging from 1 to 5.</dd> <dt><code>CRES</code></dt>
<dd>a numeric vector of ordered categories ranging from 1 to 5.</dd> <dt><code>CASS</code></dt>
<dd>a numeric vector of ordered categories ranging from 1 to 5.</dd> <dt><code>EMPAT</code></dt>
<dd>a numeric vector of ordered categories ranging from 1 to 5.</dd> 
</dl>

Format


Patient Satisfaction — satisfaction

A data frame with 235 observations on the following 5 variables.<dl>
 <dt><code>TANG</code></dt>
<dd>a numeric vector of ordered categories ranging from 1 to 5.</dd>

 <dt><code>REL</code></dt>
<dd>a numeric vector of ordered categories ranging from 1 to 5.</dd>

 <dt><code>CRES</code></dt>
<dd>a numeric vector of ordered categories ranging from 1 to 5.</dd>

 <dt><code>CASS</code></dt>
<dd>a numeric vector of ordered categories ranging from 1 to 5.</dd>

 <dt><code>EMPAT</code></dt>
<dd>a numeric vector of ordered categories ranging from 1 to 5.</dd>

 
</dl>

satisfaction: Patient Satisfaction

Description

Usage

Arguments

Format

Examples