ERP (version 1.1)

simerp: ERP dataset from a simulation study presented in detail in Sheu, Perthame, Lee and Causeur (2016)

Description

The dataset contains 20 ERP curves (time frames every 4 ms from 0 to 1000 ms) and a variable y for behavioral score.

Usage

data(simerp)

Format

A sample of 20 simulated ERP curves, each curve lasting for one thousand milliseconds (ms) with one record per 4ms. The last column gives a behavioral score for the directed forgetting experiment described in Sheu, Perthame, Lee and Causeur (2016).

Details

The dataset is simulated under assumption of a multivariate regression model with normal residuals. The covariate, y, is a recognition score, as observed in a directed forgetting experiment described in Sheu, Perthame, Lee and Causeur (2016). Only the slope coefficients corresponding to time points in the interval [450 ms ; 550 ms] are true non-nulls, with a peak at 500 ms. The residual covariance of the model mimics the sample residual covariance of the ERP datasets collected in the directed forgetting experiment.

Examples

# NOT RUN {
data(simerp)
erpplot(simerp[,1:251],frames=seq(0,1001,4),xlab="Time (ms)",
   ylab="ERP",main="Simulated ERP")
# }