File EXAMPLE_H.dat
Reanalyzing the data of Collins given in Young's book, page 188.
The analysis of Collins seems a bit muddled and hard to follow.
His data are in the form of an attribute matrix, not an assym dissimilarity matrix.

Title  = Redoing Collins "Asymmetrical Dij" Problem
NObjects  =  15

Ordinal "liking" ratings with 1 "likes most" and 5 "likes least"
Factors are raters Annie, Barbie, Carol, ....
One value is missing due to a typographic problem in the book.


NATTRIBUTES = 14
ATTRIBUTELIST
Annie    1,2,3,4,5,6,5,2,2,2,5,2,2,2
Barbie   2,1,1,1,1,1,2,4,1,2,1,1,1,1
Carol     3,2,1,3,2,1,2,4,2,3,2,1,1,2
Desiree 3,2,2,1,1,1,2,3,1,3,2,2,1,2
Ellen     5,2,3,2,1,1,1,4,5,3,1,1,1,1
Fanny    2,1,2,2,1,1,2,3,1,2,1,1,1,1
Gloria    3,1,1,1,1,1,1,1,NA,1,1,1,2,1
Henrietta 4,5,2,3,5,5,2,1,5,2,4,3,2,5
Irene     3,2,2,1,4,1,4,5,1,5,2,1,1,1
Jackie   3,4,2,2,2,1,1,4,2,1,2,1,1,4
Krystal   5,1,1,1,1,1,1,5,1,3,1,1,1,1
Lydia     3,1,1,2,2,1,2,3,2,2,2,1,1,1
Mona     3,1,2,1,1,1,4,4,2,3,1,1,1,3
Nadine   2,1,2,1,1,1,2,3,1,2,1,1,1,1
Olive     3,2,2,2,2,2,1,3,3,2,2,2,2,2

Analysis of this matrix would give similarity in terms of a "liked-disliked" pattern.

The transpose of the matrix would give similarity in terms of a "liking-disliking" pattern.




