sensR (version 1.2.2)

discrimSim: 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

Value

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

Details

The function uses the four thurstonian binomial families.

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)