wine


  Using chemical analysis determine the origin of wines


datasets

The 'gRbase' package provides general features
which are used by other graphical modelling packages, in particular
by the packages 'gRain', 'gRim' and 'gRc'.

'gRbase' contains several datasets relevant for use in connection with
graphical models. Almost all datasets used in the book Graphical
Models with R (2012) are contained in 'gRbase'.

'gRbase' implements several graph algorithms (based mainly on
representing graphs as adjacency matrices - either in the form
of a standard matrix or a sparse matrix). Some graph
algorithms are:
(i) maximum cardinality search (for marked and unmarked graphs).
(ii) moralize.
(iii) triangulate.
(iv) 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. These features, however, are not maintained anymore and
remains in 'gRbase' only because there exists a paper describing
these facilities: A Common Platform for Graphical Models in R:
The 'gRbase' Package, Journal of Statistical Software, Vol 14,
No 17, 2005.

NOTICE Proper functionality of 'gRbase' requires that the packages graph,
'Rgraphviz' and 'RBGL' are installed from 'bioconductor'; for
installation instructions please refer to the webpage given below.

Søren Højsgaard

gRbase

A Package for Graphical Modelling in R

wine function

A data frame with 178 observations on the following 14 variables.
  <dl>
    <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

Frank, A. & Asuncion, A. (2010). UCI Machine Learning Repository
  [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California,
  School of Information and Computer Science.

wine: Chemical composition of wine

Description

Usage

Arguments

Format

Source

Details

References

Examples