MANHATAN

The <code>MANHATAN</code> data frame has 25 rows and 3 columns.
The observations were obtained in a study carried out by the sociologist Leo Srole and describe the cross-classification of 1660 adults in Manhattan, ages 20-59, obtained from a sample of midtown residents.

datasets

Latent budget analysis is a method for the analysis of a two-way
contingency table with an exploratory variable and a response variable. It is
specially designed for compositional data.

Ivan Allaman

Latent Budget Analysis for Compositional Data

MANHATAN function

This data frame contains the following columns:<dl>
 <dt>health</dt>
<dd>A factor with levels:
 <code>Well</code>;
 <code>Misy</code>;
 <code>Mosy</code>;
 <code>Imp</code>.</dd> <dt>socecon</dt>
<dd>A factor with levels:
 <code>A</code>;
 <code>B</code>;
 <code>C</code>;
 <code>D</code>;
 <code>E</code>;
 <code>F</code>.</dd> <dt>value</dt>
<dd>The absolute frequencies of which factor.</dd> 
</dl>

Format

The Midtown Manhattan Study — MANHATAN

This data frame contains the following columns:<dl>
 <dt>health</dt>
<dd>A factor with levels:
 <code>Well</code>;
 <code>Misy</code>;
 <code>Mosy</code>;
 <code>Imp</code>.</dd>

 <dt>socecon</dt>
<dd>A factor with levels:
 <code>A</code>;
 <code>B</code>;
 <code>C</code>;
 <code>D</code>;
 <code>E</code>;
 <code>F</code>.</dd>

 <dt>value</dt>
<dd>The absolute frequencies of which factor.</dd>

 
</dl>

MANHATAN: The Midtown Manhattan Study

Description

Usage

Arguments

Format

References