eeg_ica_var_tbl: Show the variance explained for each ICA sources.

In bnicenboim/eeguana: Flexible Manipulation of EEG Data

Show the variance explained for each ICA sources.

Description

This function shows the variance explained by each ICA component following the approach of the matlab function ....

Usage

eeg_ica_var_tbl(.data, ..., .max_sample = 1e+05)

Arguments

.data	An eeg_ica_lst object
...	Not in use.
.max_sample	The maximum number of samples to use for calculating the variance explained.

Details

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.

Value

A table with the variance explained by each component in each recording.

See Also

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()

bnicenboim/eeguana documentation built on March 16, 2024, 7:21 a.m.