SimultAnR (version 1.1)

summary.CorrAn: Summary of Correspondence Analysis

Description

This function summarizes the results of CorrAn.

Usage

"summary"(object, oar = 1, oac = 1, ...)

Arguments

object

The output of the correspondence analysis (class 'CorrAn')

oar

Output for active rows (1 = yes, 0 = no)

oac

Output for active columns (1 = yes, 0 = no)

...

Further arguments passed to or from other methods

Value

Total inertia

Total inertia, as a measure of the total variance of the data table

Eigenvalues and percentages of inertia

Eigenvalues or principal inertias and percentages of explained inertia

Output for rows

Masses, chi-squared distances of points to their average, projections of points on each dimension, contributions and squared correlations

Output for columns

Masses, chi-squared distances of points to their average, projections of points on each dimension, contributions and squared correlations

Output for supplementary rows

Masses, chi-squared distances of points to their average, projections of points on each dimension and squared correlations

Output for supplementary columns

Masses, chi-squared distances of points to their average, projections of points on each dimension and squared correlations

Details

The function summary.CorrAn gives the detailed numerical results of the CorrAn function corresponding to the total inertia, as a measure of the total variance of the data table, to the eigenvalues or principal inertias as well as to the percentages of explained inertia and cumulated percentages of explained inertia for all possible dimensions. The output also contains, for rows and columns, the masses in %, the chi-squared distances of points to their average and, by default restricted to the first two dimensions, the projections of points on each dimension or principal coordinates, contributions of the points to the dimensions and squared correlations.

References

Greenacre, M. (2007). Correspondence Analysis in Practice. 2nd edition. Chapman and Hall/CRC, London.

Lebart, L; Piron, M., Morineau, A. (2006). Statistique exploratoire multidimensionnelle: visualisations et inferences en fouille de donnees. 4th edition. Dunod, Paris.

See Also

CorrAn, plot.CorrAn.

Examples

data(shoplifting)
dataCA <- shoplifting[, 1:9]

### CA without supplementary elements
CorrAn.out <- CorrAn(data=dataCA)

### Summary without output for rows
summary(CorrAn.out, oar=0)