Functions to generate and analyze data for psychology experiments based on the General Recognition Theory.
This package is written based mostly on the GRT Toolbox for MATLAB by Alfonso-Reese (2006), although many functions have been renamed and modified from the original in order to make them more general and “R-like.”
The functions grtrnorm and grtMeans are
used for design categorization experiments and generating stimuli. The
functions glc, gcjc, gqc,
and grg are used for fitting the general linear
classifier, the general conjunctive classifier, the general quadratic
classifier, and the general random guessing model, respectively. The
glc, gcjc, and gqc have plot
methods (plot.glc, plot.gcjc,
plot.gqc, plot3d.glc,
plot3d.gqc).
For a complete list of functions, use library(help =
"catlearn").
Alfonso-Reese, L. A. (2006) General recognition theory of categorization: A MATLAB toolbox. Behavior Research Methods, 38, 579-583.
Ashby, F. G., & Gott, R. E. (1988). Decision rules in the perception and categorization of multidimensional stimuli. Journal of Experimental Psychology: Learning, Memory, & Cognition, 14, 33-53.
Ashby, F. G. (1992) Multidimensional models of perception and cognition. Lawrence Erlbaum Associates.