ade4 (version 1.01)

discrimin: 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

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))