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.(2008). Thurstonian models for sensory discrimination tests as generalized linear models. Manuscript for Food Quality and Preference.

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 1.0.0 Index]