CohenFilter: Removal of low effect features.
In ConesaLab/MultiPower: Estimation of sample size in multi-omic experiments
CohenFilter R Documentation
Removal of low effect features.
Description
Removal of omic features with Cohen’s d (or h) below the threshold set by the user.
Usage
CohenFilter(data, d, parameters)
Arguments
data
Original data given to MultiPower function.
d
Cutoff value for Cohen’s d (or h). A scalar (and then the same cutoff is applied to all the omics) or a vector with as many values as omic data types in the data object.
parameters
List with as many elements as omic data types estimated by MultiPower function. They can be retrieved from MultiPower output as output@parameters.
Author(s)
Sonia Tarazona; David Gómez-Cabrero
See Also
MultiPower
ConesaLab/MultiPower documentation built on April 16, 2023, 11:39 a.m.
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| CohenFilter | R Documentation |
Removal of low effect features.
Description
Removal of omic features with Cohen’s d (or h) below the threshold set by the user.
Usage
CohenFilter(data, d, parameters)
Arguments
data |
Original data given to MultiPower function. |
d |
Cutoff value for Cohen’s d (or h). A scalar (and then the same cutoff is applied to all the omics) or a vector with as many values as omic data types in the data object. |
parameters |
List with as many elements as omic data types estimated by MultiPower function. They can be retrieved from MultiPower output as output@parameters. |
Author(s)
Sonia Tarazona; David Gómez-Cabrero
See Also
MultiPower
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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