ade4 (version 1.7-8)

sepan: Separated Analyses in a K-tables

Description

performs K separated multivariate analyses of an object of class ktab containing K tables.

Usage

sepan(X, nf = 2)
# S3 method for sepan
plot(x, mfrow = NULL, csub = 2, …)
# S3 method for sepan
summary(object, …)
# S3 method for sepan
print(x, …)

Arguments

X

an object of class ktab

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 n2mfrow

csub

a character size for the sub-titles, used with par("cex")*csub

…

further arguments passed to or from other methods

Value

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

Details

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'.

Examples

# NOT RUN {
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)
# }