aggregateCVSingle: Aggregate and Save Cross-validation Result for Single-omics...
In KechrisLab/SmCCNet: Sparse Multiple Canonical Correlation Network Analysis Tool
aggregateCVSingle R Documentation
Aggregate and Save Cross-validation Result for Single-omics Analysis
Description
Saves cross-validation results in a table with the
user-defined directory and outputs penalty term with the highest testing canonical correlation,
lowest prediction error, and lowest scaled prediction error.
Usage
aggregateCVSingle(CVDir, SCCAmethod = "SmCCA", K = 5, NumSubsamp = 500)
Arguments
CVDir
A directory where the result is stored.
SCCAmethod
The canonical correlation analysis method that is used in
the model, used to name cross-validation table file, default is set to 'SmCCA'.
K
number of folds for cross-validation.
NumSubsamp
Number of subsampling used.
Value
A vector of length 3 with indices of the penalty term that (1) maximize the testing canonical correlation,
(2) minimize the prediction error and (3) minimize the scaled prediction error.
KechrisLab/SmCCNet documentation built on April 18, 2024, 9:46 p.m.
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| aggregateCVSingle | R Documentation |
Aggregate and Save Cross-validation Result for Single-omics Analysis
Description
Saves cross-validation results in a table with the user-defined directory and outputs penalty term with the highest testing canonical correlation, lowest prediction error, and lowest scaled prediction error.
Usage
aggregateCVSingle(CVDir, SCCAmethod = "SmCCA", K = 5, NumSubsamp = 500)
Arguments
CVDir |
A directory where the result is stored. |
SCCAmethod |
The canonical correlation analysis method that is used in the model, used to name cross-validation table file, default is set to 'SmCCA'. |
K |
number of folds for cross-validation. |
NumSubsamp |
Number of subsampling used. |
Value
A vector of length 3 with indices of the penalty term that (1) maximize the testing canonical correlation, (2) minimize the prediction error and (3) minimize the scaled prediction error.
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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