sepan: Separated Analyses in a K-tables

In ade4: Analysis of Ecological Data: Exploratory and Euclidean Methods in Environmental Sciences

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 class 'sepan'
plot(x, mfrow = NULL, csub = 2, ...)
## S3 method for class 'sepan'
summary(object, ...)
## S3 method for class '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

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'.

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

Author(s)

Daniel Chessel

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)

ade4 documentation built on Feb. 16, 2023, 7:58 p.m.