ade4 (version 1.7-15)

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

# S3 method for dudi
inertia(x, row.inertia = FALSE, col.inertia = FALSE, ...)
# S3 method for inertia
print(x, ...)
# S3 method for inertia
summary(object, sort.axis = 1, 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

sort.axis

the kept axis used to sort the contributions in decreasing order

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 :

tot.inertia

repartition of the total inertia between axes

row.contrib

contributions of the rows to the total inertia

row.abs

absolute contributions of the rows (i.e. decomposition per axis)

row.rel

relative contributions of the rows

row.cum

cumulative relative contributions of the rows (i.e. decomposition per row)

col.contrib

contributions of the columns to the total inertia

col.abs

absolute contributions of the columns (i.e. decomposition per axis)

col.rel

relative contributions of the columns

col.cum

cumulative relative contributions of the columns (i.e. decomposition per column)

nf

the number of kept axes

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, m<U+00E9>thodes et logiciels pour la description des grands tableaux, Dunod, Paris, 61--62. Volle, M. (1981) Analyse des donn<U+00E9>es, 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 donn<U+00E9>es multidimensionnelles, Dunod, Paris, 143--144. Tenenhaus, M. (1994) M<U+00E9>thodes 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

# NOT RUN {
data(housetasks)
coa1 <- dudi.coa(housetasks, scann = FALSE)
res <- inertia(coa1, col = TRUE, row = FALSE)
res
summary(res)
# }