Description Usage Arguments Details Value Author(s) References Examples
Prints of the statistics of inertia in a one-table analysis
1 | inertia.dudi(dudi, row.inertia = FALSE, col.inertia = FALSE)
|
dudi |
a duality diagram, object of class |
row.inertia |
if TRUE, returns the statistics of the decomposition of inertia for the rows |
col.inertia |
if TRUE, returns the statistics of the decomposition of inertia for the columns |
Contributions are printed in 1/10000 and the sign is the sign of the coordinate
a list containing :
TOT |
repartition of the total inertia between axes |
row.abs |
absolute contributions of the decomposition of inertia for the rows |
row.rel |
relative contributions of the decomposition of inertia for the rows |
row.cum |
cumulative relative contributions of the decomposition of inertia for the rows |
col.abs |
absolute contributions of the decomposition of inertia for the columns |
col.rel |
relative contributions of the decomposition of inertia for the columns |
col.cum |
cumulative relative contributions of the decomposition of inertia for the columns |
Daniel Chessel
Anne B Dufour anne-beatrice.dufour@univ-lyon1.fr
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.
1 2 3 | data(housetasks)
coa1 <- dudi.coa(housetasks, scann = FALSE)
inertia.dudi(coa1, col = TRUE, row = FALSE)$col.rel
|
Axis1 Axis2
Wife 80.1875947 -15.24482
Alternating 0.4779897 -10.51016
Husband -77.2026244 -20.75420
Jointly -2.0705858 97.72939
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