Description Usage Arguments Value Details Author(s) Examples
A simulation for the random trunk experiment, in which the maximal covariant dimensions are the reverse of the maximal mean differences.
1 2  lol.sims.rtrunk(n, d, rotate = FALSE, priors = NULL, b = 4, K = 2,
maxvar = 100)

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 
priors 
the priors for each class. If 
b 
scalar for mu scaling. Default to 
K 
number of classes, should be <4. Defaults to 
maxvar 
the maximum covariance between the two classes. Defaults to 
maxvar.outlier 
the maximum covariance for the outlier points. 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. 
robust 
If robust is not false, a list containing 
For more details see the help vignette:
vignette("sims", package = "lolR")
Eric Bridgeford
1 2 3  library(lolR)
data < lol.sims.rtrunk(n=200, d=30) # 200 examples of 30 dimensions
X < data$X; Y < data$Y

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