wine: Bitterness of wine dataset

In serp: Smooth Effects on Response Penalty for CLM

Bitterness of wine dataset

Description

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.

Usage

wine

Format

A data frame with 72 rows and 6 variables:

Value

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.

Source

Taken from Randall (1989).

References

Randall, J (1989). The analysis of sensory data by generalized linear model. Biometrical Journal, 31, 781–793. https://doi.org/10.1002/bimj.4710310703

Examples

## Not run: 
str(wine)
head(wine)

## End(Not run)

serp documentation built on March 18, 2022, 6:33 p.m.