mgc.sims.spiral: Spiral Simulation

In mgc: Multiscale Graph Correlation

Description

A function for Generating a spiral simulation.

Usage

mgc.sims.spiral(n, d, eps = 0.4, a = 0, b = 5)

Arguments

n	the number of samples for the simulation.
d	the number of dimensions for the simulation setting.
eps	the noise level for the simulation. Defaults to 0.5.
a	the lower limit for the data matrix. Defaults -1.
b	the upper limit for the data matrix. Defaults to 1.

Value

a list containing the following:

X	[n, d] the data matrix with n samples in d dimensions.
Y	[n] the response array.

Details

Given: U ~ U(a, b) a random variable. Simumlates n points from Spiral(X, Y) where: Xi = U*cos(pi*U)^d if i = d, and sin(pi*U)*cos(pi*U)^i otherwise

Y = U*sin(pi*U) + eps*p*N(0, 1)

For more details see the help vignette: vignette("sims", package = "mgc")

Author(s)

Eric Bridgeford

Examples

library(mgc)
result  <- mgc.sims.spiral(n=100, d=10)  # simulate 100 samples in 10 dimensions
X <- result$X; Y <- result$Y

mgc documentation built on July 1, 2020, 7:09 p.m.