fdaCMA-methods {CMA} | R Documentation

## Fisher's Linear Discriminant Analysis

### Description

Fisher's Linear Discriminant Analysis constructs a subspace of 'optimal projections' in which classification is performed. The directions of optimal projections are computed by the function `cancor` from the package `stats`. For an exhaustive treatment, see e.g. Ripley (1996).

### Methods

X = "matrix", y = "numeric", f = "missing"

  signature 1

X = "matrix", y = "factor", f = "missing"

  signature 2

X = "data.frame", y = "missing", f = "formula"

  signature 3

X = "ExpressionSet", y = "character", f = "missing"

  signature 4

For references, further argument and output information, consult `fdaCMA`.

[Package CMA version 1.46.0 Index]