discrimin {ade4}R Documentation

Linear Discriminant Analysis (descriptive statistic)

Description

performs a linear discriminant analysis.

Usage

discrimin(dudi, fac, scannf = TRUE, nf = 2)
plot.discrimin (x, xax = 1, yax = 2, ...) 
print.discrimin (x, ...) 

Arguments

dudi a duality diagram, object of class dudi
fac a factor defining the classes of discriminant analysis
scannf a logical value indicating whether the eigenvalues bar plot should be displayed
nf if scannf FALSE, an integer indicating the number of kept axes
x an object of class 'discrimin'
xax the column number of the x-axis
yax the column number of the y-axis
... further arguments passed to or from other methods

Value

returns a list of class 'discrimin' containing :

nf a numeric value indicating the number of kept axes
eig a numeric vector with all the eigenvalues
fa a matrix with the loadings: the canonical weights
li a data frame which gives the canonical scores
va a matrix which gives the cosines between the variables and the canonical scores
cp a matrix which gives the cosines between the components and the canonical scores
gc a data frame which gives the class scores

Author(s)

Daniel Chessel chessel@biomserv.univ-lyon1.fr
Anne B Dufour dufour@biomserv.univ-lyon1.fr

See Also

lda in package MASS

Examples

data(chazeb)
dis1 <- discrimin(dudi.pca(chazeb$tab, scan = FALSE), chazeb$cla, 
    scan = FALSE)
dis1
plot(dis1)

data(skulls)
plot(discrimin(dudi.pca(skulls, scan = FALSE), gl(5,30), 
    scan = FALSE))

[Package ade4 version 1.4-0 Index]