discrimin function

Linear Discriminant Analysis (descriptive statistic)

performs a linear discriminant analysis.

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

Returns

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

Author(s)

Daniel Chessel

Anne-Béatrice Dufour anne-beatrice.dufour@univ-lyon1.fr

Examples

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))