discrimSim {sensR}R Documentation

Simulates replicated difference tests

Description

Simulates the outcome of sample.size replicated sensory difference tests (for any one of four protocols: 2-AFC, 3-AFC, duotrio and triangle tests) for a given d-prime value and a given overdispersion (default 0).

Usage

discrimSim(sample.size, replicates, delta, sd.indiv = 0,
           method = c("duotrio", "halfprobit", "probit", "triangle",
           "twoAFC", "threeAFC"))

Arguments

sample.size The sample size - number of subjects
replicates Number of replications per subject
delta The delta (d-prime) value
method The discrimination protocol
sd.indiv the individual variability in d-prime values. A value of 0 (default) is default and corresponds to complete independence

Details

The function uses the four thurstonian binomial families.

Value

A vector of length sample.size with the number of correct answers for each subject.

Author(s)

Rune Haubo B Christensen and Per Bruun Brockhoff

References

Brockhoff, P.B. and Christensen, R.H.B. (2010). Thurstonian models for sensory discrimination tests as generalized linear models. Food Quality and Preference, 21, pp. 330-338.

See Also

triangle, twoAFC, threeAFC, duotrio, discrimPwr, discrim, AnotA, discrimSS, samediff, findcr

Examples


## Running simulations:
discrimSim(sample.size = 10, replicates = 3, delta = 2,
           method = "triangle", sd.indiv = 1)

[Package sensR version 1.1.0 Index]