Flexible manipulation of EEG data in R. It provides a data.table powered framework for manipulating EEG data with dplyr-based functions (e.g., `mutate`, `filter`, `summarize`) extended to a new class, eeg_lst, other EEG-specialized functions, and `ggplot` wrapper functions. The new class is inspired by tidyverse principles but it's not really "tidy" (due to space considerations), it's a list of (i) a wide data table (signal_tbl) that contains the signal amplitudes at every sample point of the EEG, (ii) an events data table with information about markers (or triggers), blinks and other exported information, and (iii) a long table with experimental information, such as participant number (.recording), conditions, etc. eeguana can do only basic pre-processing for now.
Package details |
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Maintainer | |
License | MIT + file LICENSE |
Version | 0.1.11.9001 |
URL | https://bruno.nicenboim.me/eeguana https://github.com/bnicenboim/eeguana |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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