Description Usage Arguments Value Note Author(s) References Examples
It provides the Pearson's index, e.g. chi-square index, partitioning under the Scenario 1 when probabilities are homogeneous.
1 2  | 
X | 
 The three-way contingency table.  | 
pi | 
 The input parameter for specifying the theoretical probabilities of rows categories. 
When   | 
pj | 
 The input parameter for specifying the theoretical probabilities of  columns categories. 
When   | 
pk | 
 The input parameter for specifying the theoretical probabilities of  tube categories. 
When   | 
digits | 
 The minimum number of decimal places,   | 
Description of the output returned
z | 
 The chi-square index partition under Scenario 1, we get seven terms of the chi-square partition, three main terms, two bivariate terms and a trivariate term. The output is in a matrix, the four rows of this matrix indicate the index, the percentage of the explained inertia, the degree of freedom, the p-value, respectively.  | 
This function belongs to the class chi3class. 
Lombardo R and Takane Y
Beh EJ and Lombardo R (2014) Correspondence Analysis: Theory, Practice and New Strategies. John Wiley & Sons. 
Carlier A Kroonenberg PM (1996) Biplots and decompositions in two-way and three-way correspondence analysis. Psychometrika, 61, 355-373. 
Lancaster H O (1951) Complex contingency tables treated by the partition of the chi-square. Journal of Royal Statistical Society, Series B, 13, 242-249. 
Loisel S and Takane Y (2016) Partitions of Pearson's chi-square ststistic for frequency tables:  A comprehensive account. Computational Statistics, 31, 1429-1452.
1 2 3  | 
Loading required package: tools
$z
                X2I   X2J   X2K   X2IJ   X2IK  X2JK  X2IJK      X2
Index        20.547 0.534 0.025 29.708 14.137 0.311  6.491  71.752
% of Inertia 28.636 0.744 0.035 41.404 19.702 0.433  9.046 100.000
df            5.000 2.000 1.000 10.000  5.000 2.000 10.000  35.000
p-value       0.001 0.766 0.875  0.001  0.015 0.856  0.772   0.000
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