lol.sims.cigar: Stacked Cigar

In neurodata/lol: Linear Optimal Low-Rank Projection

Description

A simulation for the stacked cigar experiment.

Usage

lol.sims.cigar(n, d, rotate = FALSE, priors = NULL, a = 0.15, b = 4)

Arguments

n	the number of samples of the simulated data.
d	the dimensionality of the simulated data.
rotate	whether to apply a random rotation to the mean and covariance. With random rotataion matrix Q, mu = Q*mu, and S = Q*S*Q. Defaults to FALSE.
priors	the priors for each class. If NULL, class priors are all equal. If not null, should be |priors| = K, a length K vector for K classes. Defaults to NULL.
a	scalar for all of the mu1 but 2nd dimension. Defaults to 0.15.
b	scalar for 2nd dimension value of mu2 and the 2nd variance term of S. Defaults to 4.

Value

A list of class simulation with the following:

X	[n, d] the n data points in d dimensions as a matrix.
Y	[n] the n labels as an array.
mus	[d, K] the K class means in d dimensions.
Sigmas	[d, d, K] the K class covariance matrices in d dimensions.
priors	[K] the priors for each of the K classes.
simtype	The name of the simulation.
params	Any extraneous parameters the simulation was created with.

Details

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

Author(s)

Eric Bridgeford

Examples

library(lolR)
data <- lol.sims.cigar(n=200, d=30)  # 200 examples of 30 dimensions
X <- data$X; Y <- data$Y

neurodata/lol documentation built on March 3, 2021, 1:46 a.m.