tau3 {CA3variants} | R Documentation |
When the association among three categorical variables is asymmetric such that one variable is a
logical response variable to the other variables, we recommend calculating the non-symmetrical
three-way measure of predictability such as the Marcotorchino index (Marcotorchino, 1985).
The function tau3
partitions the Marcotorchino statistic when, in CA3variants
,
we set the parameter ca3type = "NSCA3"
.
tau3(f3, digits = 3)
f3 |
Three-way contingency array given as an input parameter in |
digits |
Number of decimal digits. By default digits=3. |
z |
The partition of the Marcotorchino index into three two-way association terms and one three-way association term. It also shows the C statistic of each term, its degrees of freedom and p-value. |
CM |
the C statistic of the Marcotorchino index. |
devt |
The denominator of the Marcotorchino index. |
Rosaria Lombardo, Eric J Beh, Ida Camminatiello.
Beh EJ and Lombardo R (2014). Correspondence Analysis, Theory, Practice and New Strategies. John Wiley & Sons.
data(happy) tau3(happy,digits=3)