mammals

datasets

This package performs a homogeneity analysis and various
        extensions. Rank restrictions on the category quantifications
        can be imposed (nonlinear PCA). The categories are transformed
        by means of optimal scaling with options for nominal, ordinal,
        and numerical scale levels (for rank-1 restrictions). Variables
        can be grouped into sets, in order to emulate regression
        analysis and canonical correlation analysis.

Jan Leeuw

homals

Gifi Methods for Optimal Scaling

mammals function

A data frame with the tooth pattern, the number of top incisors, bottom incisors, top canines, bottom canines,
  top premolars, bottom premolars, top molars, and bottom molars.
  
  - top incisors: (1) zero incisors; (2) one incisor;  (3) two incisors; (4) three or more incisors.

  - bottom incisors: (1) zero incisors; (2) one incisor; (3) two incisors; (4) three incisors; (5) four
incisors. 

  - top canine: (1) zero canines; (2) one canine.
  
  - bottom canine: (1) zero canines; (2) one canine.
  
  - top premolar (1) zero premolars; (2) one premolar; (3) two premolars; (3) two premolars; (4)
three premolars; (5) four premolars.

  - bottom premolar: (1) zero premolars; (2) one premolar; (3) two premolars; (3) two premolars;
(4) three premolars; (5) four premolars.

  - top molar: (1) zero, one or two molars; (2) more than two molars.
  
  - bottom molar: (1) zero, one or two molars; (2) more than two molars.

mammals: Mammals dataset

Description

Usage

Arguments

format

References

Examples