Description Usage Arguments Value Details Author(s) Examples
A simulation for the cross experiment, in which the two classes have orthogonal covariant dimensions and the same means.
1 2  lol.sims.cross(n, d, rotate = FALSE, priors = NULL, a = 1, b = 0.25,
K = 2)

n 
the number of samples of simulated data. 
d 
the dimensionality of the simulated data. 
rotate 
With random rotataion matrix 
priors 
the priors for each class. If 
a 
scalar for the magnitude of the variance that is high within the particular class. Defaults to 
b 
scalar for the magnitude of the varaince that is not high within the particular class. Defaults to 
K 
the number of classes. Defaults to 
A list of class simulation
with the following:
X 

Y 

mus 

Sigmas 

priors 

simtype 
The name of the simulation. 
params 
Any extraneous parameters the simulation was created with. 
For more details see the help vignette:
vignette("sims", package = "lolR")
Eric Bridgeford
1 2 3  library(lolR)
data < lol.sims.cross(n=200, d=30) # 200 examples of 30 dimensions
X < data$X; Y < data$Y

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