randomize: Randomizing Data
In NMF: Algorithms and Framework for Nonnegative Matrix Factorization (NMF)
randomize R Documentation
Randomizing Data
Description
randomize permutates independently the entries in
each column of a matrix-like object, to produce random
data that can be used in permutation tests or bootstrap
analysis.
Usage
randomize(x, ...)
Arguments
x
data to be permutated. It must be an object
suitable to be passed to the function
apply.
...
extra arguments passed to the function
sample.
Details
In the context of NMF, it may be used to generate random
data, whose factorization serves as a reference for
selecting a factorization rank, that does not overfit the
data.
Value
a matrix
Examples
x <- matrix(1:32, 4, 8)
randomize(x)
randomize(x)
NMF documentation built on Sept. 11, 2024, 8:34 p.m.
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| randomize | R Documentation |
Randomizing Data
Description
randomize permutates independently the entries in
each column of a matrix-like object, to produce random
data that can be used in permutation tests or bootstrap
analysis.
Usage
randomize(x, ...)
Arguments
x |
data to be permutated. It must be an object
suitable to be passed to the function
|
... |
extra arguments passed to the function
|
Details
In the context of NMF, it may be used to generate random data, whose factorization serves as a reference for selecting a factorization rank, that does not overfit the data.
Value
a matrix
Examples
x <- matrix(1:32, 4, 8)
randomize(x)
randomize(x)
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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