ade4 (version 1.01)

sepan: Separated Analyses in a K-tables

Description

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

Usage

sepan(X, nf = 2)
plot.sepan (x, mfrow = NULL, csub = 2, ...)
summary.sepan (object, ...)
print.sepan (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

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)