Package index
-
import_chans()
- Import channel locations from various file formats
-
import_erplab()
- Import from ERPLAB .erp files
-
import_ft()
- Import Fieldtrip files
-
import_raw()
- Function for reading raw data.
-
import_set()
- Load
EEGLAB
.set files
-
export_bva()
- Export continuous data in Brain Vision Analyzer format
-
apply_ica()
- Recreate channel timecourses from ICA decompositions.
-
compute_csd()
- Convert to Current Source Density
-
eeg_average()
- Calculate averages (e.g. event-related potentials) for single datasets
-
eeg_combine()
- Combine
eegUtils
objects
-
eeg_decompose()
- Generalized eigenvalue decomposition based methods for EEG data
-
eeg_downsample()
- Downsampling EEG data
-
eeg_filter()
- Filter EEG data
-
eeg_reference()
- Referencing
-
electrode_locations()
- Get standard electrode locations
-
epoch_data()
- Create epochs from EEG data
-
interp_elecs()
- Channel interpolation
-
rm_baseline()
- Baseline correction
-
run_ICA()
- Independent Component Analysis for EEG data
-
tag_events()
- Tag events
-
ar_FASTER()
eeg_FASTER()
- FASTER EEG artefact rejection
-
ar_acf()
- Detect low autocorrelation of ICA components
-
ar_chanfoc()
- Detect high channel focality of ICA components
-
ar_eogcor()
- Detect high component correlation with eye channels
-
ar_eogreg()
- Remove EOG using regression
-
ar_thresh()
- Simple absolute value thresholding
-
ar_trialfoc()
- Detect high trial focality of ICA components
-
epoch_stats()
- Epoch statistics
-
channel_stats()
- Channel statistics
-
view_artefacts()
- Artefact browser
-
select_elecs()
- Select electrodes from a given dataset
-
select_epochs()
- Select epochs
-
select_freqs()
- Select frequencies
-
select_times()
- Select timerange
-
browse_data()
- Browse EEG data
-
erp_image()
- Plot ERP images
-
erp_raster()
- ERP raster plot
-
erp_scalp()
- Plot event-related potentials using a scalp based layout
-
geom_topo()
- Create a topographical plot
-
get_scalpmap()
- Calculate an interpolated scalpmap
-
interactive_scalp()
- Interactive scalp maps
-
plot_butterfly()
- Create a butterfly plot from timecourse data
-
plot_difference()
- Plot ERP difference waves
-
plot_electrodes()
- Plot electrode locations
-
plot_gfp()
- Plot Global Field Power of EEG Signals
-
plot_psd()
- Plot Power Spectral Density
-
plot_tfr()
- Time-frequency plot
-
plot_timecourse()
- Plot one-dimensional timecourse data.
-
stat_scalpmap()
geom_head()
geom_mask()
geom_ears()
geom_channels()
- Create an interpolated scalp surface
-
stat_scalpcontours()
- Create an interpolated scalp surface
-
topoplot()
- Topographical Plotting Function for EEG
-
view_ica()
- EEG decomposition viewer
-
compute_itc()
- Calculate inter-trial coherence
-
compute_psd()
- Compute power spectral density
-
compute_tfr()
- Compute Time-Frequency representation of EEG data
-
as.data.frame(<eeg_ICA>)
- Convert
eeg_ICA
object to data frame
-
as.data.frame(<eeg_data>)
- Convert
eeg_data
todata.frame
-
as.data.frame(<eeg_epochs>)
- Convert
eeg_epochs
object to data.frame
-
as.data.frame(<eeg_evoked>)
- Convert
eeg_evoked
object to data frame
-
as.data.frame(<eeg_lm>)
- Convert
eeg_lm
todata.frame
-
as.data.frame(<eeg_stats>)
- Convert
eeg_stats
objects to data frames
-
as.data.frame(<eeg_tfr>)
- Convert
eeg_tfr
objects to adata.frame
-
channels()
`channels<-`()
- Modify channel information
-
epochs()
`epochs<-`()
- Modify the epochs structure
-
events()
`events<-`()
- Modify events structure
-
channel_names()
- Retrieve signal/channel names
-
get_participant_id()
get_recording()
set_participant_id()
set_recording()
- Query and set elements of the
epochs
metadata structures