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VGAM (version 1.0-2)

wine: Bitterness in Wine Data

Description

This oenological data frame concerns the amount of bitterness in 78 bottles of white wine.

Usage

data(wine)

Arguments

Format

A data frame with 4 rows on the following 7 variables.
temp
temperature, with levels cold and warm.
contact
whether contact of the juice with the skin was allowed or avoided, for a specified period. Two levels: no or yes.
bitter1, bitter2, bitter3, bitter4, bitter5
numeric vectors, the counts. The order is none to most intense.

Source

Christensen, R. H. B. (2013) Analysis of ordinal data with cumulative link models---estimation with the R-package ordinal. R Package Version 2013.9-30. http://cran.r-project.org/package=ordinal. Randall, J. H. (1989) The analysis of sensory data by generalized linear model. Biometrical Journal 31(7), 781--793. Kosmidis, I. (2014) Improved estimation in cumulative link models. Journal of the Royal Statistical Society, Series B, Methodological, 76, in press.

Details

The data set comes from Randall (1989) and concerns a factorial experiment for investigating factors that affect the bitterness of white wines. There are two factors in the experiment: temperature at the time of crushing the grapes and contact of the juice with the skin. Two bottles of wine were fermented for each of the treatment combinations. A panel of 9 judges were selected and trained for the ability to detect bitterness. Thus there were 72 bottles in total. Originally, the bitterness of the wine were taken on a continuous scale in the interval from 0 (none) to 100 (intense) but later they were grouped using equal lengths into five ordered categories 1, 2, 3, 4 and 5.

Examples

Run this code
wine
summary(wine)

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