| discrimSS {sensR} | R Documentation |
Computes the sample size for any one of four methods: 2-AFC, 3-AFC, duotrio and triangle tests given the underlying sensory difference d, the type 1 test level and the required power.
discrimSS(delta, power, alpha,
method = c("duotrio", "threeAFC", "twoAFC", "triangle"))
delta |
the underlying sensory difference (larger than zero) |
power |
the wanted power (between zero and one) |
alpha |
the type 1 level of the test (between zero and one) |
method |
the discrimination protocol. Four allowed values: "twoAFC", "threeAFC", "duotrio", "triangle" |
The function uses one of the dedicated binomial families and the
discrimPwr function
The sample size
Per Bruun Brockhoff and Rune Haubo B Christensen
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,
discrim, discrimSim,
AnotA, discrimPwr,
samediff, findcr
## Finding the necessary sample size: discrimSS(1, 0.9, 0.05, "twoAFC") discrimSS(1, 0.9, 0.05, "threeAFC") discrimSS(1, 0.9, 0.05, "duotrio") discrimSS(1, 0.9, 0.05, "triangle")