GlassPatterns: Detection of concentric patterns of dipoles in Glass Patterns

In MPDiR: Data Sets and Scripts for Modeling Psychophysical Data in R

Detection of concentric patterns of dipoles in Glass Patterns

Description

The data record the observations of one observer performing a Yes/No detection task. The signal was a proportion of dot pairs oriented concentrically on virtual circles in the presence of randomly oriented dot pairs. The proportion of oriented dot pairs is the coherence. On one-sixth of the trials, the coherence was 0, and from these a false alarm rate can be established. The color of the dots was varied across trials and is designated by an azimuthal angle in the equiluminant plane.

Usage

data(Gabor)

Format

A data frame with 48 observations on the following 5 variables.

Pyes

a numeric indicating the proportion of trials on which the observer responded Yes, the pattern was present.

Direction

a factor with levels A0, A45, ..., A315 indicating the hue directions in the equiluminant plane of the dots.

Coherence

a numeric vector indicating the proportion of dot pairs falling along virtual concentric circles.

N

a numeric vector indicating the number of trials upon which the proportion of Yes responses is based.

Angle

a numeric vector indicating the azimuthal angle in the equiluminant plane of the hue of the dots.

Details

The data are unpublished observations from one observer from a larger data set.

Examples

data(GlassPatterns)
str(GlassPatterns) 

MPDiR documentation built on Aug. 19, 2023, 5:11 p.m.