noise.matrix: Noise Matrix Generator
In OmicsMarkeR: Classification and Feature Selection for 'Omics' Datasets
Description
Usage
Arguments
Value
Author(s)
View source: R/data.generation.R
Description
Provides a matrix to perturb randomly generated data
to facilitate a more realistic dataset.
Usage
1
noise.matrix(matrix, k)
Arguments
matrix
A matrix of simulated data with dimensions comparable
to 'real' datasets
k
Correlation Perturbation - The higher k, the more the data
is perturbed.
Value
Returns a matrix of the same dimensions as matrix that
can add to perturb the
original simulated data.
Author(s)
Charles E. Determan Jr.
OmicsMarkeR documentation built on April 28, 2020, 6:54 p.m.
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Description Usage Arguments Value Author(s)
View source: R/data.generation.R
Description
Provides a matrix to perturb randomly generated data to facilitate a more realistic dataset.
Usage
1 | noise.matrix(matrix, k)
|
Arguments
matrix |
A matrix of simulated data with dimensions comparable to 'real' datasets |
k |
Correlation Perturbation - The higher k, the more the data is perturbed. |
Value
Returns a matrix of the same dimensions as matrix that
can add to perturb the
original simulated data.
Author(s)
Charles E. Determan Jr.
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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