Multiple CO-inertia Analysis
performs a multiple CO-inertia analysis,
using an object of class ktab.
mcoa(X, option = c("inertia", "lambda1", "uniform", "internal"),
scannf = TRUE, nf = 3, tol = 1e-07)
## S3 method for class 'mcoa'
print(x, ...)
## S3 method for class 'mcoa'
summary(object, ...)
## S3 method for class 'mcoa'
plot(x, xax = 1, yax = 2, eig.bottom = TRUE, ...)X |
an object of class |
option |
a string of characters for the weightings of the arrays options :
|
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 |
tol |
a tolerance threshold, an eigenvalue is considered positive if it is larger than |
x, object |
an object of class 'mcoa' |
... |
further arguments passed to or from other methods |
xax, yax |
the numbers of the x-axis and the y-axis |
eig.bottom |
a logical value indicating whether the eigenvalues bar plot should be added |
mcoa returns a list of class 'mcoa' containing :
pseudoeig |
a numeric vector with the all pseudo eigenvalues |
call |
the call-up order |
nf |
a numeric value indicating the number of kept axes |
SynVar |
a data frame with the synthetic scores |
axis |
a data frame with the co-inertia axes |
Tli |
a data frame with the co-inertia coordinates |
Tl1 |
a data frame with the co-inertia normed scores |
Tax |
a data frame with the inertia axes onto co-inertia axis |
Tco |
a data frame with the column coordinates onto synthetic scores |
TL |
a data frame with the factors for Tli Tl1 |
TC |
a data frame with the factors for Tco |
T4 |
a data frame with the factors for Tax |
lambda |
a data frame with the all eigenvalues (computed on the separate analyses) |
cov2 |
a numeric vector with the all pseudo eigenvalues (synthetic analysis) |
Daniel Chessel
Anne-Béatrice Dufour anne-beatrice.dufour@univ-lyon1.fr
Chessel, D. and Hanafi, M. (1996) Analyses de la co-inertie de K nuages de points, Revue de Statistique Appliquée, 44, 35–60.
data(friday87) w1 <- data.frame(scale(friday87$fau, scal = FALSE)) w2 <- ktab.data.frame(w1, friday87$fau.blo, tabnames = friday87$tab.names) mcoa1 <- mcoa(w2, "lambda1", scan = FALSE) mcoa1 summary(mcoa1) plot(mcoa1)
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