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, ...)
dudi |
a duality diagram, object of class |
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 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 |
Daniel Chessel
Anne-Béatrice Dufour anne-beatrice.dufour@univ-lyon1.fr
lda in package MASS
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))Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.