lda: Linear Discrimination

In coatless/msos: Data Sets and Functions Used in Multivariate Statistics: Old School by John Marden

Linear Discrimination

Description

Finds the coefficients a_k and constants c_k for Fisher's linear discrimination function d_k in (11.31) and (11.32).

Usage

lda(x, y)

Arguments

x	The N \times P data matrix.
y	The N-vector of group identities, assumed to be given by the numbers 1,...,K for K groups.

Value

A list with the following components:

a

A P x K matrix, where column K contains the coefficents a_k for (11.31). The final column is all zero.

c

The K-vector of constants c_k for (11.31). The final value is zero.

See Also

sweep

Examples

# Iris example
x.iris <- as.matrix(iris[, 1:4])
# Gets group vector (1, ... , 1, 2, ... , 2, 3, ..., 3)
y.iris <- rep(1:3, c(50, 50, 50))
ld.iris <- lda(x.iris, y.iris)

coatless/msos documentation built on Nov. 16, 2023, 5:31 a.m.