| discrimSim {sensR} | R Documentation |
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).
discrimSim(sample.size, replicates, delta, sd.indiv = 0,
method = c("duotrio", "halfprobit", "probit", "triangle",
"twoAFC", "threeAFC"))
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 |
The function uses the four thurstonian binomial families.
A vector of length sample.size with the number of correct answers for
each subject.
Rune Haubo B Christensen and Per Bruun Brockhoff
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.
triangle, twoAFC,
threeAFC, duotrio,
discrimPwr, discrim,
AnotA, discrimSS,
samediff, findcr
## Running simulations:
discrimSim(sample.size = 10, replicates = 3, delta = 2,
method = "triangle", sd.indiv = 1)