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. Author manuscript; available in PMC: 2014 Jan 17.
Published in final edited form as: Horm Behav. 2010 Dec 30;59(5):780–792. doi: 10.1016/j.yhbeh.2010.12.004

Table 2.

Classification of subjects from the Bonaparte and Landis samples when using discriminant functions generated from either the Bonaparte or the Landis samples. (Table cells with a gray background are those where the discriminant function misclassified significantly more subjects than expected by chance.)

Classification using discriminant function
A. Bonaparte subjects used to generate discriminant function No Orgasm Orgasm
Bonaparte Sample (Actual Classification) No Orgasm 81
(100)		 19
(0)
Orgasm 7
(0)		 93
(100)
Landis Sample (Actual Classification) Orgasm < 67% 90
(100)		 10
(0)
Orgasm > 67% 56
(0)		 44*
(100)
Classification using discriminant function
B. Landis subjects used to generate discriminant function No Orgasm Orgasm
Bonaparte Sample (Actual classification) No Orgasm 62*
(100)		 38
(0)
Orgasm 0
(0)		 100
(100)
Landis Sample (Actual classification) Orgasm < 67% 74*
(100)		 26
(0)
Orgasm > 67% 38
(0)		 62*
(100)
*

Classification not significantly different from chance classification using Press's Q statistic