eeg_ica_keep: Select independent components (or sources) to keep.

In bnicenboim/eeguana: Flexible Manipulation of EEG Data

Select independent components (or sources) to keep.

Description

This function will transform the channels according to the independent components that are kept or removed.

Usage

eeg_ica_keep(.data, ...)

Arguments

.data	An eeg_ica_lst object
...	Components to keep from the mixing matrix of the ICA transformation. See dplyr::select and tidyselect::select_helpers for details.

See Also

Other preprocessing functions: eeg_baseline(), eeg_downsample(), eeg_ica(), eeg_rereference(), eeg_segment(), filt

Other ICA functions: eeg_ica_cor_tbl(), eeg_ica_show(), eeg_ica_summary_tbl(), eeg_ica_var_tbl(), eeg_ica(), plot_components()

Examples

# For demonstration only, since ICA won't converge
# Suppressing an important warning:
suppressWarnings(data_faces_10_trials %>%
  eeg_ica(-EOGH, -EOGV, -M1, -M2, .method = fast_ICA, .config = list(maxit = 10))) %>%
  eeg_ica_keep(-ICA1)

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