pem: Computes the local and global Percentages of Maximum Deviation from Independance (PEM)
Description
Computes the local and global Percentages of Maximum Deviation from Independance (PEM) of a contingency table.
Usage
pem(x)
Arguments
x
Contingency table. Accepted formats are matrices and 'table' objects.
Value
Returns a list:
peml
Matrix with local percentages of maximum deviation from independance
pemg
Numeric value, i.e. the global percentage of maximum deviation from independance
Details
The Percentage of Maximum Deviation from Independance (PEM) is an association measure for contingency tables (see Cibois, 1993).
It is an alternative to khi2, Cramer coefficient, etc.
References
Cibois P., 1993, Le PEM, pourcentage de l'ecart maximum : un indice de liaison entre modalites d'un tableau de contingence,
Bulletin de methodologie sociologique, n40, p.43-63. http://cibois.pagesperso-orange.fr/bms93.pdf
# NOT RUN {## Computes the PEM for the contingency table## of jazz and age variables## from the 'Music' example data setdata(Music)
x <- table(Music$Jazz,Music$Age)
pem(x)
# }