| chi3 {CA3variants} | R Documentation |
The partition of the Pearson three-way index
Description
When three categorical variables are symmetrically related, we can analyse the strength of
the association using the three-way Pearson mean square contingency coefficient, named the chi-squared index.
The function chi3 partitions the Pearson phi-squared statistic when in CA3variants
we set the parameter ca3type = "CA3".
Usage
chi3(f3, digits = 3)
Arguments
f3 |
The three-way contingency array given as an input parameter in CA3variants. |
digits |
The number of decimal digits. By default digits=3. |
Value
The partition of the Pearson index into three two-way association terms and one three-way association term. It also shows the explained inertia, the degrees of freedom and p-value of each term of the partition.
Author(s)
Rosaria Lombardo, Eric J Beh, Ida Camminatiello.
References
Beh EJ and Lombardo R (2014) Correspondence Analysis, Theory, Practice and New Strategies. John Wiley & Sons.
Carlier A and Kroonenberg PM (1996) Decompositions and biplots in three-way correspondence analysis. Psychometrika, 61, 355-373.
Examples
data(happy)
chi3(f3=happy, digits=3)