plotPCAvariance: Create the explained variance plot from a PCA
In psichomics: Graphical Interface for Alternative Splicing Quantification, Analysis and Visualisation
Description
Usage
Arguments
Value
See Also
Examples
View source: R/analysis_dimReduction_pca.R
Description
Create the explained variance plot from a PCA
Usage
1
plotPCAvariance(pca)
Arguments
pca
prcomp object
Value
Plot variance as an highchart object
See Also
Other functions to analyse principal components:
calculateLoadingsContribution(),
performPCA(),
plotPCA()
Examples
1
2
pca <- prcomp(USArrests)
plotPCAvariance(pca)
psichomics documentation built on Nov. 8, 2020, 5:44 p.m.
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Description Usage Arguments Value See Also Examples
View source: R/analysis_dimReduction_pca.R
Description
Create the explained variance plot from a PCA
Usage
1 | plotPCAvariance(pca)
|
Arguments
pca |
|
Value
Plot variance as an highchart object
See Also
Other functions to analyse principal components:
calculateLoadingsContribution(),
performPCA(),
plotPCA()
Examples
1 2 | pca <- prcomp(USArrests)
plotPCAvariance(pca)
|
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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