wine

The <code>wine</code> dataset contains the results of a chemical analysis of
 wines grown in a specific area of Italy. Three types of wine are
 represented in the 178 samples, with the results of 13 chemical
 analyses recorded for each sample. The <code>Type</code> variable has been
 transformed into a categoric variable.
The data contains no missing values and consits of only numeric data,
 with a three class target variable (<code>Type</code>) for classification.

datasets

The R Analytic Tool To Learn Easily (Rattle) provides a
collection of utilities functions for the data scientist. A
Gnome (RGtk2) based graphical interface is included with
the aim to provide a simple and intuitive introduction to R
for data science, allowing a user to quickly load data from a CSV file
(or via ODBC), transform and explore the data,
build and evaluate models, and export models as PMML (predictive
modelling markup language) or as scores. A key aspect of the GUI
is that all R commands are logged and commented through the log tab.
This can be saved as a standalone R script file and as
an aid for the user to
learn R or to copy-and-paste directly into R itself.
Note that RGtk2 and cairoDevice have been archived on CRAN.
See <https://rattle.togaware.com> for installation instructions.

Graham Williams

rattle

Graphical User Interface for Data Science in R

Mark Vere Culp

Ed Cox

Anthony Nolan

Denis White

Daniele Medri

Akbar Waljee

Brian Ripley

Jose Magana

Surendra Tipparaju

Durga Prasad Chappidi

Dinesh Manyam Venkata

Mrinal Chakraborty

Fang Zhou

Cameron Chisholm

wine function

A data frame containing 178 observations of 13 variables.
<dl class="dl-horizontal"><dt><code>Type</code></dt><dd>The type of wine, into one of three classes, 1
 (59 obs), 2(71 obs), and 3 (48 obs).</dd><dt><code>Alcohol</code></dt><dd>Alcohol</dd><dt><code>Malic</code></dt><dd>Malic acid</dd><dt><code>Ash</code></dt><dd>Ash</dd><dt><code>Alcalinity</code></dt><dd>Alcalinity of ash</dd><dt><code>Magnesium</code></dt><dd>Magnesium</dd><dt><code>Phenols</code></dt><dd>Total phenols</dd><dt><code>Flavanoids</code></dt><dd>Flavanoids</dd><dt><code>Nonflavanoids</code></dt><dd>Nonflavanoid phenols</dd><dt><code>Proanthocyanins</code></dt><dd>Proanthocyanins</dd><dt><code>Color</code></dt><dd>Color intensity.</dd><dt><code>Hue</code></dt><dd>Hue</dd><dt><code>Dilution</code></dt><dd>D280/OD315 of diluted wines.</dd><dt><code>Proline</code></dt><dd>Proline</dd></dl>

Format

The wine dataset from the UCI Machine Learning Repository. — wine

The wine dataset from the UCI Machine Learning Repository.

wine: The wine dataset from the UCI Machine Learning Repository.

Description

Usage

Arguments

Format

References