fechner (version 1.0-3)

regMin: Artificial Data: Regular Minimality In Non-canonical Form

Description

Artificial data of fictitious ‘discrimination probabilities’ among $10$ fictitious stimuli.

Usage

regMin

Format

The regMin data frame consists of $10$ rows and $10$ columns, representing the fictitious stimuli presented in the first and second observation area, respectively. Each number, a numeric, in the data frame is assumed to give the relative frequency of perceivers scoring ‘different’ to the row stimulus ‘followed’ by the column stimulus.

References

Dzhafarov, E. N. and Colonius, H. (2006) Reconstructing distances among objects from their discriminability. Psychometrika, 71, 365--386.

Dzhafarov, E. N. and Colonius, H. (2007) Dissimilarity cumulation theory and subjective metrics. Journal of Mathematical Psychology, 51, 290--304.

Uenlue, A. and Kiefer, T. and Dzhafarov, E. N. (2009) Fechnerian scaling in R: The package fechner. Journal of Statistical Software, 31(6), 1--24. URL http://www.jstatsoft.org/v31/i06/.

See Also

noRegMin for the other artificial data violating regular minimality; check.data for checking data format; check.regular for checking regular minimality/maximality; fechner, the main function for Fechnerian scaling. See also morse for Rothkopf's Morse code data, wish for Wish's Morse-code-like data, and fechner-package for general information about this package.

Examples

## dataset regMin satisfies regular minimality in non-canonical form
regMin
check.regular(regMin, type = "reg.minimal")