thomas15a: 3x3 face recognition confusion matrix for Observer A
In mdsdt: Functions for Analysis of Data with General Recognition Theory
Description
Usage
Format
Author(s)
Source
Description
This data set contains the results of a 3x3 full-report face recognition experiment reported in Thomas et al (2015). The two channels are degree of eye separation and nose width, with three levels on each dimension.
Usage
1
Format
an xtabs instance, containing counts for all stimulus-response combinations.
The first two dimensions consist of the response counts on each level of nose width and eye separation, respectively, and the third dimension indexes the stimulus.
Author(s)
Robin D. Thomas
Source
Thomas, R. D., Altieri, N. A., Silbert, N. H., Wenger, M. J., & Wessels, P. M. (2015). Multidimensional signal detection decision models of the uncertainty task: Application to face perception. Journal of Mathematical Psychology, 66, 16-33.
mdsdt documentation built on May 2, 2019, 2:46 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Format Author(s) Source
Description
This data set contains the results of a 3x3 full-report face recognition experiment reported in Thomas et al (2015). The two channels are degree of eye separation and nose width, with three levels on each dimension.
Usage
1 |
Format
an xtabs instance, containing counts for all stimulus-response combinations.
The first two dimensions consist of the response counts on each level of nose width and eye separation, respectively, and the third dimension indexes the stimulus.
Author(s)
Robin D. Thomas
Source
Thomas, R. D., Altieri, N. A., Silbert, N. H., Wenger, M. J., & Wessels, P. M. (2015). Multidimensional signal detection decision models of the uncertainty task: Application to face perception. Journal of Mathematical Psychology, 66, 16-33.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.