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Copy file name to clipboardExpand all lines: README.md
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# eegUtils 0.2.1.9000
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# eegUtils 0.3.0
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<ahref="http://www.repostatus.org/#wip"><imgsrc="http://www.repostatus.org/badges/latest/wip.svg"alt="Project Status: WIP – Initial development is in progress, but there has not yet been a stable, usable release suitable for the public." /></a> [](https://codecov.io/github/craddm/eegUtils?branch=master)[](https://travis-ci.org/craddm/eegUtils)[](https://ci.appveyor.com/project/craddm/eegUtils)[](https://zenodo.org/badge/latestdoi/85406871)
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Some helper utilities for plotting and processing EEG data in R. The package is in the early stages of development, and may be subject to a lot of changes.
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Some utilities for plotting and processing of EEG data in R. The package is in the early stages of development, and may be subject to a lot of changes.
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Use devtools::install_github('craddm/eegUtils') to install it.
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*`interp_elecs()` - spherical spline interpolation of EEG channels
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*`eeg_downsample()` - filter and downsample data to a lower sampling rate.
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*`eeg_FASTER()` - automatic artefact rejection algorithm for epoched data
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*`run_ICA()` - decompose your data using an ICA algorithm such as SOBI or Infomax
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## Plotting functions
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*`topoplot()` - plotting of topographies
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*`plot_timecourse()`/`plot_butterfly()` - plotting individual timecourses from electrodes or plotting all electrodes at once
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*`erp_scalp()` - plotting ERP plots for individual electrodes in a topographical layout - thanks to Matti Vuorre!
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*`interactive_scalp()` - a Shiny version of erp_scalp() that allows you to zoom in on specific electrodes.
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*`browse_data()` - a Shiny gadget for interactively scrolling through EEG data (continous or epoched)
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*`browse_data()` - a Shiny gadget for interactively scrolling through EEG data (continous or epoched).
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*`erp_raster()` - plot an ERP raster, showin the ERP for every channel as a single image.
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*`erp_image()` - plot an ERP image from a single electrode.
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*`plot_psd()` - plot the Power Spectral Density of an `eeg_data` or `eeg_epochs` object.
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`as.data.frame()` methods exist for `eeg_data` and `eeg_epochs` objects, so you can convert your data to a data frame for use with whatever analysis method you like.
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