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ade4 (version 1.7-5)

inertia.dudi: Decomposition of inertia (i.e. contributions) in multivariate methods

Description

Computes the decomposition of inertia to measure the contributions of row and/or columns in multivariate methods

Usage

"inertia"(x, row.inertia = FALSE, col.inertia = FALSE, ...) "print"(x, ...) "summary"(object, subset = 5, ...)

Arguments

x, object
a duality diagram, object of class dudi for inertia.dudi. An object of class inertia for the methods print and summary
row.inertia
if TRUE, returns the decomposition of inertia for the rows
col.inertia
if TRUE, returns the decomposition of inertia for the columns
subset
the number of rows and/or columns to display in the summary
...
further arguments passed to or from other methods

Value

An object of class inertia, i.e. a list containing : , i.e. a list containing :

Details

Contributions are printed in percentage and the sign is the sign of the coordinates

References

Lebart, L., Morineau, A. and Tabart, N. (1977) Techniques de la description statistique, méthodes et logiciels pour la description des grands tableaux, Dunod, Paris, 61--62. Volle, M. (1981) Analyse des données, Economica, Paris, 89--90 and 118 Lebart, L., Morineau, L. and Warwick, K.M. (1984) Multivariate descriptive analysis: correspondence and related techniques for large matrices, John Wiley and Sons, New York. Greenacre, M. (1984) Theory and applications of correspondence analysis, Academic Press, London, 66. Rouanet, H. and Le Roux, B. (1993) Analyse des données multidimensionnelles, Dunod, Paris, 143--144. Tenenhaus, M. (1994) Méthodes statistiques en gestion, Dunod, Paris, p. 160, 161, 166, 204. Lebart, L., Morineau, A. and Piron, M. (1995) Statistique exploratoire multidimensionnelle, Dunod, Paris, p. 56,95-96.

Examples

Run this code
data(housetasks)
coa1 <- dudi.coa(housetasks, scann = FALSE)
res <- inertia(coa1, col = TRUE, row = FALSE)
res
summary(res)

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