| sepan {ade4} | R Documentation |
performs K separated multivariate analyses of an object of class ktab
containing K tables.
sepan(X, nf = 2) ## S3 method for class 'sepan' plot(x, mfrow = NULL, csub = 2, ...) ## S3 method for class 'sepan' summary(object, ...) ## S3 method for class 'sepan' print(x, ...)
X |
an object of class |
nf |
an integer indicating the number of kept axes for each separated analysis |
x, object |
an object of class 'sepan' |
mfrow |
a vector of the form "c(nr,nc)", otherwise computed by a special own function |
csub |
a character size for the sub-titles, used with |
... |
further arguments passed to or from other methods |
The function plot on a sepan object allows to compare inertias and structures between arrays.
In black, the eigenvalues of kept axes in the object 'sepan'.
returns a list of class 'sepan' containing :
call |
a call order |
tab.names |
a vector of characters with the names of tables |
blo |
a numeric vector with the numbers of columns for each table |
rank |
a numeric vector with the rank of the studied matrix for each table |
Eig |
a numeric vector with all the eigenvalues |
Li |
a data frame with the row coordinates |
L1 |
a data frame with the row normed scores |
Co |
a data frame with the column coordinates |
C1 |
a data frame with the column normed coordinates |
TL |
a data frame with the factors for Li L1 |
TC |
a data frame with the factors for Co C1 |
Daniel Chessel
data(escopage) w <- data.frame(scale(escopage$tab)) w <- ktab.data.frame(w, escopage$blo, tabnames = escopage$tab.names) sep1 <- sepan(w) sep1 summary(sep1) plot(sep1)