`tedana.reporting.static_figures`.pca_results

pca_results(criteria, n_components, all_varex, io_generator)[source]

Plot the PCA optimization curve for each criteria, and the variance explained curve.

Parameters:

criteria (array-like) – AIC, KIC, and MDL optimization values for increasing number of components.
n_components (array-like) – Number of optimal components given by each criteria.
io_generator (object) – An object containing all the information needed to generate the output.