aucMat: aucMat
In projectR: Functions for the projection of weights from PCA, CoGAPS, NMF, correlation, and clustering
Description
Usage
Arguments
Value
Examples
Description
Calculates AUC values for each set of weights for each label and outputs the results as a matrix
Usage
1
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
1
2
3
projectR(data=p.ESepiGen4c1l$mRNA.Seq,loadings=AP.RNAseq6l3c3t$Amean,
dataNames = map.ESepiGen4c1l[["GeneSymbols"]]) -> projection
aucMat(pd.ESepiGen4c1l$Condition,projection)
projectR documentation built on Nov. 8, 2020, 7:50 p.m.
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Description Usage Arguments Value Examples
Description
Calculates AUC values for each set of weights for each label and outputs the results as a matrix
Usage
1 |
Arguments
labels |
a vector of labels whose length is equal to the number of columns in the weight matrix |
weights |
a matrix of weights from projection analysis |
Value
A matrix of AUC values for each set of weights classifying each label.
Examples
1 2 3 | projectR(data=p.ESepiGen4c1l$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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