rnhyper: Create hyperplane data with independant normal distributions

In aschersleben/NBCD: Naive Bayes for Online Classification with Concept Drift

Description

Create hyperplane data with independant normal distributions

Usage

rnhyper(n, mean = 0, sd = 1, d)

Arguments

n	[numeric(1)]
mean	[numeric(1) | numeric(d)]
sd	[numeric(1) | numeric(d) | matrix(d, d)] If matrix, it's a VCV with variances on the diagonal. Else, interpreted as standard deviations.
d	[numeric(1)] Dim.

aschersleben/NBCD documentation built on May 12, 2019, 4:32 a.m.