dudi.coa {ade4} | R Documentation |
performs a correspondence analysis.
dudi.coa(df, scannf = TRUE, nf = 2)
df |
a data frame containing positive or null values |
scannf |
a logical value indicating whether the eigenvalues bar plot should be displayed |
nf |
if scannf FALSE, an integer indicating the number of kept axes |
returns a list of class coa
and dudi
(see dudi) containing
N |
the sum of all the values of the initial table |
Daniel Chessel
Anne B Dufour anne-beatrice.dufour@univ-lyon1.fr
Benzécri, J.P. and Coll. (1973) L'analyse des données. II L'analyse des correspondances, Bordas, Paris. 1–620.
Greenacre, M. J. (1984) Theory and applications of correspondence analysis, Academic Press, London.
data(rpjdl) chisq.test(rpjdl$fau)$statistic rpjdl.coa <- dudi.coa(rpjdl$fau, scannf = FALSE, nf = 4) sum(rpjdl.coa$eig)*rpjdl.coa$N # the same if(adegraphicsLoaded()) { g1 <- s.label(rpjdl.coa$co, plab.cex = 0.6, lab = rpjdl$frlab, plot = FALSE) g2 <- s.label(rpjdl.coa$li, plab.cex = 0.6, plot = FALSE) cbindADEg(g1, g2, plot = TRUE) } else { par(mfrow = c(1,2)) s.label(rpjdl.coa$co, clab = 0.6, lab = rpjdl$frlab) s.label(rpjdl.coa$li, clab = 0.6) par(mfrow = c(1,1)) } data(bordeaux) db <- dudi.coa(bordeaux, scan = FALSE) db score(db)