subjdemo_cj: Sample dataset of a categorization experiment with 2D...

In grt: General Recognition Theory

Description

A sample two dimensional stimulus set and response data of a hypothetical participant in a two-category classification experiment involving 100 trials.

Usage

subjdemo_cj

Format

This data frame contains 100 rows and the following columns:

category

label of the category to which each stimulus belongs.

x1

value on the dimension 'x1'

x2

value on the dimension 'x2'

response

classification response of a participant.

Examples

##### the data was generated using following codes:
m <- list(c(100,200),c(100,100),c(200,100),c(200,200))
covs <- diag(30^2, ncol=2, nrow=2)
set.seed(1)
subjdemo_cj <- grtrnorm(n=c(50,20,10,20), np=4, means=m, covs=covs)
subjdemo_cj$category <- c(1,2,2,2)[subjdemo_cj$category]
##### create ramdom responses with 80% accuracy
subjdemo_cj$response <- subjdemo_cj$category
set.seed(1)
incorrect <- sample(1:100, size=20)
subjdemo_cj$response[incorrect] <- abs(subjdemo_cj$response[incorrect] - 3)

##### plotting the dataset
with(subjdemo_cj, plot(x2 ~ x1, bg=category, pch=response))
abline(h=150, lty=2)
abline(v=150, lty=2)

grt documentation built on May 2, 2019, 7:10 a.m.