generate_gaussian_data: Simulate test data for usual Gaussian PCA
In krisrs1128/expPCA: Exponential Family PCA
Description
Usage
Arguments
Value
Description
Simulate test data for usual Gaussian PCA
Usage
1
generate_gaussian_data(k = 4, n = 100, d = 10, eps = 0.05)
Arguments
k
The latent subspace dimension.
n
The number of samples to generate.
d
The dimension of the samples.
eps
The variance of the noise around the latent subspace.
Value
A list with the following elements,
$X: The simulated gaussian data.
$V: The latent subspace.
$A: The latent scores.
krisrs1128/expPCA documentation built on May 20, 2019, 1:26 p.m.
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Description Usage Arguments Value
Description
Simulate test data for usual Gaussian PCA
Usage
1 | generate_gaussian_data(k = 4, n = 100, d = 10, eps = 0.05)
|
Arguments
k |
The latent subspace dimension. |
n |
The number of samples to generate. |
d |
The dimension of the samples. |
eps |
The variance of the noise around the latent subspace. |
Value
A list with the following elements,
$X: The simulated gaussian data.
$V: The latent subspace.
$A: The latent scores.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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