discrim {sensR} | R Documentation |
Computes the d-prime, its standard error and P-value for the hypothesis of no sensory difference for any of four methods: 2-AFC, 3-AFC, duotrio and triangle tests.
discrim(success, total, method = c("duotrio", "threeAFC", "twoAFC", "triangle"), ...)
success |
the number of correct answers |
total |
the total number of answers (sample size) |
method |
the discrimination protocol. Four allowed values: "twoAFC", "threeAFC", "duotrio", "triangle" |
... |
additional arguments passed to glm |
The function uses the one of the dedicated binomial families and the
base function glm
An object of class discrim
with elements
coef |
named vector of coefficients (d-prime and tau) |
res.glm |
the glm-object from the fitting process |
vcov |
variance-covariance matrix of the coefficients |
se |
named vector with standard error of the coefficients (standard error of d-prime |
data |
a named vector with the data supplied to the function |
p.value |
one-sided p-value from Fisher's exact test
(fisher.test ) |
test |
a string with the name of the test (A-Not A ) for
the print method |
call |
the matched call |
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
, discrimSim
,
discrimSS
, samediff
,
AnotA
, findcr
## Running the simple discrimination test analyses: discrim(10, 15, "twoAFC") discrim(10, 15, "threeAFC") discrim(10, 15, "duotrio") discrim(10, 15, "triangle")