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