wine


   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. 


datasets

Data and functions for the book "Multivariate Statistical
Modelling Based on Generalized Linear Models", first edition, by
Ludwig Fahrmeir and Gerhard Tutz.  Useful when using the book.

Kjetil Halvorsen

Fahrmeir

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

wine function

A data frame with 72 observations on the following 5 variables.
  <dl>
    <dt>temp</dt><dd>a factor, temperature,  with levels <code>high</code> <code>low</code></dd> <dt>contact</dt><dd>a factor with levels <code>no</code> <code>yes</code></dd> <dt>bottle</dt><dd>a factor with levels <code>1</code> <code>2</code> <code>3</code> <code>4</code> 
                    <code>5</code> <code>6</code> <code>7</code> <code>8</code></dd> <dt>judge</dt><dd>a factor with levels <code>1</code> <code>2</code> <code>3</code> <code>4</code> 
                  <code>5</code> <code>6</code> <code>7</code> <code>8</code> <code>9</code></dd> <dt>score</dt><dd>numeric, ordinal score, from '1'=nonbitter to
                          '5'=very bitter </dd> </dl> 

Format

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

wine: Bitterness of White Wines

Description

Usage

Arguments

Format

Source

Examples