ade4 (version 1.7-15)

discrimin: Linear Discriminant Analysis (descriptive statistic)

Description

performs a linear discriminant analysis.

Usage

discrimin(dudi, fac, scannf = TRUE, nf = 2)
# S3 method for discrimin
plot(x, xax = 1, yax = 2, …) 
# S3 method for discrimin
print(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

See Also

lda in package MASS

Examples

# NOT RUN {
data(chazeb)
dis1 <- discrimin(dudi.pca(chazeb$tab, scan = FALSE), chazeb$cla, 
    scan = FALSE)
dis1
if(!adegraphicsLoaded())
  plot(dis1)

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