rm_baseline: Baseline correction

In neuroconductor-devel-releases/eegUtils: A collection of utilities for EEG analysis

Description

Used to remove the mean of a specified time period from the data. Currently only performs subtractive baseline. With a data frame, searches for "electrode" and "epoch" columns, and groups on these when found. An electrode column is always required; an epoch column is not.

Usage

rm_baseline(data, ...)

## S3 method for class 'eeg_data'
rm_baseline(data, time_lim = NULL, ...)

## S3 method for class 'eeg_epochs'
rm_baseline(data, time_lim = NULL, ...)

## S3 method for class 'data.frame'
rm_baseline(data, time_lim = NULL, ...)

## S3 method for class 'eeg_tfr'
rm_baseline(data, time_lim = NULL, type = "divide",
  ...)

## S3 method for class 'eeg_evoked'
rm_baseline(data, time_lim = NULL, ...)

Arguments

data	Data to be baseline corrected.
...	other parameters to be passed to functions
time_lim	Numeric character vector (e.g. time_lim <- c(-.1, 0)). If none given, defaults to mean of the whole of each epoch if the data is epoched, or the channel mean if the data is continuous.
type	Type of baseline correction to apply. Options are ("divide", "ratio", "absolute", "db")

Methods (by class)

• eeg_data: remove baseline from continuous eeg_data

• eeg_epochs: Remove baseline from eeg_epochs

• data.frame: Legacy method for data.frames

• eeg_tfr: Method for eeg_tfr objects

• eeg_evoked: Method for eeg_evoked objects

Author(s)

Matt Craddock [e-mail]

neuroconductor-devel-releases/eegUtils documentation built on May 5, 2020, 3:49 a.m.