API Reference
Main function
Run the high-frequency PCA algorithm
- pca_high_freq()
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Run high-frequency PCA on a data matrix.
- pca_start_evectors()
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Calculate the starting eigenvectors for the high-frequency PCA routine.
Analysis functions
Analyze the results
- plot_loadings()
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Plot the loading contribution between variables and principal components over time.
- plot_pcs()
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Plot the principal component trajectories colored by explained variance.
- quantiles_cut()
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Compute the fraction of values above the PCA cutoff per feature.