Add independent components (or sources) to the signal table for visualization.

Add independent components (or sources) to the signal table for visualization.

eeg_ica_show(.data, ...)

Arguments

.data

An eeg_ica_lst object

...

Components to extract from the mixing matrix of the ICA transformation.

See also

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

Examples

# For demonstration only, since ICA won't converge
library(ggplot2)
library(dplyr)
# Suppressing an important warning:
suppressWarnings(data_faces_10_trials %>%
  eeg_ica(-EOGH, -EOGV, -M1, -M2, .method = fast_ICA, .config = list(maxit = 10))) %>%
  eeg_ica_show(ICA1) %>%
  plot()
#> # ICA is being done using fast_ICA...
#> # ICA finished in 9 iterations. With a tolerance of 0.973844. (Maximum expected tolerance: 1e-06.)
#> # ICA took 0.69 secs
#> # Downsampling from 500Hz to 250Hz.
#> # Object size in memory 6.1 Mb