modPermute: Permute Features in Data
In exprso: Rapid Deployment of Machine Learning Algorithms
Description
Usage
Arguments
Value
Description
modPermute randomly samples each feature in the data
without replacement. This method helps establish a null
model for the purpose of testing the significance of
observed prediction error estimates.
Usage
1
modPermute(object)
Arguments
object
An ExprsArray object to undergo pre-processing.
Value
A pre-processed ExprsArray object.
exprso documentation built on May 1, 2019, 7:11 p.m.
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Description Usage Arguments Value
Description
modPermute randomly samples each feature in the data
without replacement. This method helps establish a null
model for the purpose of testing the significance of
observed prediction error estimates.
Usage
1 | modPermute(object)
|
Arguments
object |
An |
Value
A pre-processed ExprsArray object.
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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