relativeCorPredictionSuccess: Compare prediction success
In WGCNA: Weighted Correlation Network Analysis
relativeCorPredictionSuccess R Documentation
Compare prediction success
Description
Compare prediction success of several gene screening methods.
Usage
relativeCorPredictionSuccess(
corPredictionNew,
corPredictionStandard,
corTestSet,
topNumber = 100)
Arguments
corPredictionNew
Matrix of predictor statistics
corPredictionStandard
Reference presdictor statistics
corTestSet
Correlations of predictor variables with trait in test set
topNumber
A vector giving the numbers of top genes to consider
Value
Data frame with components
topNumber
copy of the input topNumber
kruskalp
Kruskal-Wallis p-values
Author(s)
Steve Horvath
See Also
corPredictionSuccess
WGCNA documentation built on Sept. 18, 2024, 5:08 p.m.
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| relativeCorPredictionSuccess | R Documentation |
Compare prediction success
Description
Compare prediction success of several gene screening methods.
Usage
relativeCorPredictionSuccess(
corPredictionNew,
corPredictionStandard,
corTestSet,
topNumber = 100)
Arguments
corPredictionNew |
Matrix of predictor statistics |
corPredictionStandard |
Reference presdictor statistics |
corTestSet |
Correlations of predictor variables with trait in test set |
topNumber |
A vector giving the numbers of top genes to consider |
Value
Data frame with components
topNumber |
copy of the input |
kruskalp |
Kruskal-Wallis p-values |
Author(s)
Steve Horvath
See Also
corPredictionSuccess
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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