addStats: add PCA-based summary stats on all TFs in the model
In PriceLab/TReNA: Fit transcriptional regulatory networks using gene expression, priors, machine learning
addStats,PCAMax-method R Documentation
add PCA-based summary stats on all TFs in the model
Description
add PCA-based summary stats on all TFs in the model
Usage
## S4 method for signature 'PCAMax'
addStats(obj, varianceToInclude = 0.75, scalePCA = FALSE)
Arguments
obj
An object of the class PCAMax
varianceToInclude
numeric variance to include in the PCA
scalePCA
logical
Value
the original model with extra columns: pcaMax, cov, PC1, PC2,
PriceLab/TReNA documentation built on March 21, 2023, 1:57 p.m.
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| addStats,PCAMax-method | R Documentation |
add PCA-based summary stats on all TFs in the model
Description
add PCA-based summary stats on all TFs in the model
Usage
## S4 method for signature 'PCAMax'
addStats(obj, varianceToInclude = 0.75, scalePCA = FALSE)
Arguments
obj |
An object of the class PCAMax |
varianceToInclude |
numeric variance to include in the PCA |
scalePCA |
logical |
Value
the original model with extra columns: pcaMax, cov, PC1, PC2,
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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