data-wine

wine

Using chemical analysis determine the origin of wines

datasets

The 'gRbase' package provides graphical modelling features
used by e.g. the packages 'gRain', 'gRim' and 'gRc'. 'gRbase' implements
graph algorithms including (i) maximum cardinality search (for marked
and unmarked graphs).
(ii) moralization, (iii) triangulation, (iv) creation of junction tree.
'gRbase' facilitates array operations,
'gRbase' implements functions for testing for conditional independence.
'gRbase' illustrates how hierarchical log-linear models may be
implemented and describes concept of graphical meta
data.
The facilities of the package are documented in the book by H<c3><b8>jsgaard,
Edwards and Lauritzen (2012,
<doi:10.1007/978-1-4614-2299-0>) and in the paper by
Dethlefsen and H<c3><b8>jsgaard, (2005, <doi:10.18637/jss.v014.i17>).
Please see 'citation("gRbase")' for citation details.
NOTICE 'gRbase' requires that the packages graph,
'Rgraphviz' and 'RBGL' are installed from 'bioconductor'; for
installation instructions please refer to the web page given below.

Søren Højsgaard

gRbase

A Package for Graphical Modelling in R

data-wine function

A data frame with 178 observations on the following 14 variables.<dl class="dl-horizontal">
 <dt><code>Cult</code></dt><dd>a factor with levels <code>v1</code> <code>v2</code>
 <code>v3</code>: 3 different graph varieties</dd>
 <dt><code>Alch</code></dt><dd>Alcohol</dd>
 <dt><code>Mlca</code></dt><dd>Malic acid</dd>
 <dt><code>Ash</code></dt><dd>Ash</dd>
 <dt><code>Aloa</code></dt><dd>Alcalinity of ash</dd>
 <dt><code>Mgns</code></dt><dd>Magnesium</dd>
 <dt><code>Ttlp</code></dt><dd>Total phenols</dd>
 <dt><code>Flvn</code></dt><dd>Flavanoids</dd>
 <dt><code>Nnfp</code></dt><dd>Nonflavanoid phenols</dd>
 <dt><code>Prnt</code></dt><dd>Proanthocyanins</dd>
 <dt><code>Clri</code></dt><dd>Color intensity</dd>
 <dt><code>Hue</code></dt><dd>Hue</dd>
 <dt><code>Oodw</code></dt><dd>OD280/OD315 of diluted wines</dd>
 <dt><code>Prln</code></dt><dd>Proline</dd>
</dl>

Format

Chemical composition of wine — data-wine

A data frame with 178 observations on the following 14 variables.<dl class='dl-horizontal'>
 <dt><code>Cult</code></dt><dd>a factor with levels <code>v1</code> <code>v2</code>
 <code>v3</code>: 3 different graph varieties</dd>
 <dt><code>Alch</code></dt><dd>Alcohol</dd>
 <dt><code>Mlca</code></dt><dd>Malic acid</dd>
 <dt><code>Ash</code></dt><dd>Ash</dd>
 <dt><code>Aloa</code></dt><dd>Alcalinity of ash</dd>
 <dt><code>Mgns</code></dt><dd>Magnesium</dd>
 <dt><code>Ttlp</code></dt><dd>Total phenols</dd>
 <dt><code>Flvn</code></dt><dd>Flavanoids</dd>
 <dt><code>Nnfp</code></dt><dd>Nonflavanoid phenols</dd>
 <dt><code>Prnt</code></dt><dd>Proanthocyanins</dd>
 <dt><code>Clri</code></dt><dd>Color intensity</dd>
 <dt><code>Hue</code></dt><dd>Hue</dd>
 <dt><code>Oodw</code></dt><dd>OD280/OD315 of diluted wines</dd>
 <dt><code>Prln</code></dt><dd>Proline</dd>
</dl>

data-wine: Chemical composition of wine

Description

Usage

Arguments

Format

Details

References

Examples