wine: Bitterness of White Wines

In Fahrmeir: Data from the Book "Multivariate Statistical Modelling Based on Generalized Linear Models", First Edition, by Ludwig Fahrmeir and Gerhard Tutz

Description

In a study on the bitterness of white wine it is of interest wheater treatments that can be controlleds during pressing the grapes influence the bitterness of wines. The two factors considered are the temperature and the admission of contact with skin when pressing the grapes.

Usage

data(wine)

Format

A data frame with 72 observations on the following 5 variables.

temp

a factor, temperature, with levels high low

contact

a factor with levels no yes

bottle

a factor with levels 1 2 3 4 5 6 7 8

judge

a factor with levels 1 2 3 4 5 6 7 8 9

score

numeric, ordinal score, from '1'=nonbitter to '5'=very bitter

Source

Ludwig Fahrmeir, Gerhard Tutz (1994): Multivariate Statistical Modelling Based on Generalized Linear Models. Springer Series in Statistics. Springer Verlag. New-York Berlin Heidelberg

Examples

str(wine) 
summary(wine)

Example output

'data.frame':	72 obs. of  5 variables:
 $ temp   : Factor w/ 2 levels "high","low": 2 2 2 2 2 2 2 2 2 2 ...
 $ contact: Factor w/ 2 levels "no","yes": 1 1 1 1 1 1 1 1 1 1 ...
 $ bottle : Factor w/ 8 levels "1","2","3","4",..: 1 1 1 1 1 1 1 1 1 2 ...
 $ judge  : Factor w/ 9 levels "1","2","3","4",..: 1 2 3 4 5 6 7 8 9 1 ...
 $ score  : int  2 1 2 3 2 3 1 2 1 3 ...
   temp    contact      bottle       judge        score      
 high:36   no :36   1      : 9   1      : 8   Min.   :1.000  
 low :36   yes:36   2      : 9   2      : 8   1st Qu.:2.000  
                    3      : 9   3      : 8   Median :3.000  
                    4      : 9   4      : 8   Mean   :2.917  
                    5      : 9   5      : 8   3rd Qu.:4.000  
                    6      : 9   6      : 8   Max.   :5.000  
                    (Other):18   (Other):24                  

Fahrmeir documentation built on May 2, 2019, 12:37 p.m.