,
This function shows the variance explained by each ICA component following the approach of the matlab function ....
eeg_ica_var_tbl(.data, ..., .max_sample = 1e+05)An eeg_ica_lst object
Not in use.
The maximum number of samples to use for calculating the variance explained.
A table with the variance explained by each component in each recording.
If the dataset is large, this function can take very long to run. Setting a maximum number of samples (max_sample) will speed up the calculations by downsampling the data.
Other ICA functions:
eeg_ica_cor_tbl(),
eeg_ica_keep(),
eeg_ica_show(),
eeg_ica_summary_tbl(),
eeg_ica(),
plot_components()
Other summary functions:
count_complete_cases_tbl(),
eeg_ica_cor_tbl(),
eeg_ica_summary_tbl(),
summaries,
summary.eeg_lst()