simulationData: Simulation of Gaussian vector

In randomUniformForest: Random Uniform Forests for Classification, Regression and Unsupervised Learning

Simulation of Gaussian vector

Description

Simulate a Gaussian vector with 'p' independent components of length 'n'. Parameters of each component are uniformly random and are taken between -10 and 10, with (absolute) standard deviation equals mean.

Usage

simulationData(n, p, distrib = rnorm, colinearity = FALSE)

Arguments

n	number of observations to draw.
p	number of variables to draw.
distrib	distribution to use. Currently only Gaussian one is supported.
colinearity	not currently used.

Value

a matrix with 'n' observations and 'p' variables.

Author(s)

Saip Ciss [e-mail]

Examples

X <- simulationData(100,10)
summary(X)

randomUniformForest documentation built on June 22, 2022, 1:05 a.m.