qdaClassification: qdaClassification

Description Usage Arguments Value Examples

View source: R/qdaClassification.R

Description

Gives quadratic discriminant scores to the points in data for a multivariate normal.

Usage

1

Arguments

normal

A list with arguments mean, covaruance and weight.

data

Data frame or matrix on which to perform qda.

Value

A score for each point.

Examples

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data.qda = cbind(rnorm(50), rnorm(50))
exp(qdaClassification(list(mean = c(0,0), cov = diag(1,2), weight = 1), data.qda))

optimalFlow documentation built on Oct. 8, 2020, 2 a.m.