The wine
dataset adopted from Randall(1989),
represents the outcome of a factorial experiment on factors
determining the bitterness of wine. Two treatment factors
(temperature and contact) with two levels each are provided,
with the rating of wine taken on a continuous scale in the interval
from 0 (none) to 100 (intense). These were subsequently grouped
into five ordered categories ranging from 1 = 'least bitter'
to 5 = 'most bitter'. Altogether, nine different judges assessed
wine from two bottles and out of the four treatment conditions,
making a total of 72 observations.
wine
A data frame with 72 rows and 6 variables:
Taken from Randall (1989).
response
scorings of wine bitterness on a 0---100 continuous scale.
rating
ordered factor with 5 levels; a grouped version of response
.
contact
factor with two levels ("no"
and "yes"
).
temp
temperature: factor with two levels.
judge
factor with nine levels.
bottle
factor with eight levels.
Randall, J (1989). The analysis of sensory data by generalized linear model. Biometrical Journal, 31, 781--793. https://doi.org/10.1002/bimj.4710310703