ringData: Generation of a Binary Classification Problem with Two...

In locClassData: Collection of Artificial Classification Problems

Description

Generation of a binary classification problem with two Gaussian distributions with euqal means and different covariance matrices.

Usage

  ringData(n, prior = rep(0.5, 2), sigma1 = diag(2),
    sigma2 = 2 * diag(2))

  ringLabels(data, prior = rep(0.5, 2), sigma1 = diag(2),
    sigma2 = 2 * diag(2))

  ringPosterior(data, prior = rep(0.5, 2),
    sigma1 = diag(2), sigma2 = 2 * diag(2))

  ringBayesClass(data, prior = rep(0.5, 2),
    sigma1 = diag(2), sigma2 = 2 * diag(2))

Arguments

n	Number of observations.
prior	Vector of class prior probabilities.
sigma1	Covariance matrix for class 1.
sigma2	Covariance matrix for class 2.
data	A data.frame.

Value

ringData returns an object of class "locClass", a list with components:

x	(A matrix.) The explanatory variables.
y	(A factor.) The class labels.

ringLabels returns a factor of class labels.

ringPosterior returns a matrix of posterior probabilities.

ringBayesClass returns a factor of Bayes predictions.

locClassData documentation built on May 2, 2019, 5:26 p.m.