csa.all: Multiple Class Specific Correspondence Analysis on all values...

In Rsoc/soc.ca: Specific Correspondence Analysis for the Social Sciences

Multiple Class Specific Correspondence Analysis on all values in a factor

Description

csa.all performs a class specific correspondence analysis for each level in a factor variable. Returns a list with soc.csa objects and a list of measures defined by csa.measures

Usage

csa.all(object, variable, dim = 1:5, ...)

Arguments

object	is a soc.ca class object created with soc.mca
variable	a factor with the same length and order as the active variables that created the soc.ca object
dim	is the dimension analyzed
...	further arguments are directed to csa.measures

Value

results	a list of soc.csa result objects
cor	a list of correlation matrixes
cosines	a list of matrixes with cosine values
angles	a list of matrixes with cosine angles between dimensions

See Also

soc.csa, cor, csa.measures

Examples

example(soc.ca)
csa.all(result, taste$Age)
csa.all(result, taste$Age)$measures

Rsoc/soc.ca documentation built on March 7, 2024, 8:59 p.m.