lda {msos}R Documentation

Linear Discrimination

Description

Finds the coefficients aka_k and constants ckc_k for Fisher's linear discrimination function dkd_k in (11.31) and (11.32).

Usage

lda(x, y)

Arguments

x

The N×PN \times P data matrix.

y

The NN-vector of group identities, assumed to be given by the numbers 1,...,KK for KK groups.

Value

A list with the following components:

a

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

c

The KK-vector of constants ckc_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)

[Package msos version 1.2.0 Index]