discrimin: Linear Discriminant Analysis (descriptive statistic)

discriminR Documentation

Linear Discriminant Analysis (descriptive statistic)

Description

performs a linear discriminant analysis.

Usage

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

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
Anne-Béatrice Dufour anne-beatrice.dufour@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
if(!adegraphicsLoaded())
  plot(dis1)

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

ade4 documentation built on Nov. 2, 2022, 1:07 a.m.

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