erpR-package: erpR package

In erpR: Event-Related Potentials (ERP) Analysis, Graphics and Utility Functions

Description

The erpR package includes a series of functions for importing Event-related potential (ERP) data, carrying out exploratory analyses, computing traditional ERP measures and ERP plotting.

Details

Package:	erpR
Type:	Package
Version:	0.4.1
Date:	2019-06-06
License:	GPL-3

The erpR package is dedicated to the analysis of event-related potentials (ERPs). Event-related potentials are the measured brain responses associated with a specific sensory, cognitive, or motor event and are obtained from electroencephalographic (EEG) signal. The erpR package contains a series of functions for importing Event-related potentials (ERP) data, carrying out exploratory analyses, computing traditional ERP measures and ERP plotting. Many erpR functions require to specify two arguments: base and numbers. The names of the objects for the erpR functions are obtained from the combination of base and numbers. The argument base typically indicates the name of the experimental condition (or group, or both), while numbers indicate the numbers of the subjects on which function is applied. This system is crucial to keep order in objects and files names and to tell erpR the correspondence between the objects. In particular a given base will always refer to the same condition, and a given number will always refer to the same subject. The data frames containing ERP data (named by the combination of base and number) are called erpdf and stored in lists called erplists. The package include The topoplot function of this package uses the function interp of package akima, that is released under a non-commercial use license.

Further information can be found on the maintainer's site https://sites.google.com/site/giorgioarcara/erpr.

Author(s)

Giorgio Acara [e-mail]

Anna Petrova [e-mail]

Mantainer: Giorgio Arcara [e-mail]

Examples

library(erpR)

# load some example data
data(erplistExample)

# create average of 20 subjects  
word=grandaverage("Exp1_word_subj", 1:20, erplist=erplistExample) 

# plot an ERP
erp(word, "Fp1", smo=0, col="blue", ylim=c(-10,10))

erpR documentation built on June 7, 2019, 3 a.m.