aucMat: aucMat
In genesofeve/projectR: Functions for the projection of weights from PCA, CoGAPS, NMF, correlation, and clustering
aucMat R Documentation
aucMat
Description
Calculates AUC values for each set of weights for each label and outputs the results as a matrix
Usage
aucMat(labels, weights)
Arguments
labels
a vector of labels whose length is equal to the number of columns in the weight matrix
weights
a matrix of weights from projection analysis
Value
A matrix of AUC values for each set of weights classifying each label.
Examples
projectR(data=p.ESepiGen4c1l$mRNA.Seq,loadings=AP.RNAseq6l3c3t$Amean,
dataNames = map.ESepiGen4c1l[["GeneSymbols"]]) -> projection
aucMat(pd.ESepiGen4c1l$Condition,projection)
genesofeve/projectR documentation built on Nov. 16, 2024, 8:20 p.m.
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| aucMat | R Documentation |
aucMat
Description
Calculates AUC values for each set of weights for each label and outputs the results as a matrix
Usage
aucMat(labels, weights)
Arguments
labels |
a vector of labels whose length is equal to the number of columns in the weight matrix |
weights |
a matrix of weights from projection analysis |
Value
A matrix of AUC values for each set of weights classifying each label.
Examples
projectR(data=p.ESepiGen4c1l$mRNA.Seq,loadings=AP.RNAseq6l3c3t$Amean,
dataNames = map.ESepiGen4c1l[["GeneSymbols"]]) -> projection
aucMat(pd.ESepiGen4c1l$Condition,projection)
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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