Standardized residuals, (observed - expected) / sqrt(V), where
V is the residual cell variance (Agresti, 2007, section 2.4.5).
Special care is taken for multiple-response variables which are in effect a
series of separate tables where ‘not selected’ cells for each item are
are hidden.
zScores(x)# S4 method for CrunchCube
zScores(x)
rstandard(model)
an array of standardized residuals or Z-scores from the hypothesis being tested. The default method is that the joint distributions of (weighted) counts are equal to the marginal distributions of the table.
A CrunchCube representing a contingency table
A CrunchCube representing a contingency table (for rstandard()
only)
Agresti, A. (2007) An Introduction to Categorical Data Analysis, 2nd ed., New York: John Wiley & Sons. Page 38.