Artificial data of fictitious ‘discrimination probabilities’ among 10 fictitious stimuli.
noRegMin 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.
This dataset is artificial and included for illustrating regular
minimality being violated. It differs from the artificial data
regMin only in the entry in row \#9 and column
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/.
regMin for the other artificial data satisfying
regular minimality in non-canonical form;
for checking data format;
check.regular for checking
fechner, the main
function for Fechnerian scaling. See also
Rothkopf's Morse code data,
wish for Wish's
Morse-code-like data, and
fechner-package for general
information about this package.
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