iris_dataset

This famous (Fisher's or Anderson's) iris data set gives the measurements in
centimetres of the variables sepal length and width and petal length and
width, respectively, for 50 flowers from each of 3 species of iris.
The species are Iris setosa, versicolor, and virginica.
This is a replication of <code>datasets::<a href="/link/iris?package=dataset&version=0.3.1" data-mini-rdoc="dataset::iris">iris</a></code> as
dataset s3 class.

datasets

The aim of the 'dataset' package is to make tidy datasets easier to release,
exchange and reuse. It organizes and formats data frame 'R' objects into well-referenced,
well-described, interoperable datasets into release and reuse ready form. A subjective
interpretation of the W3C DataSet recommendation and the datacube model <https://www.w3.org/TR/vocab-data-cube/>,
which is also used in the global Statistical Data and Metadata eXchange standards,
the application of the connected Dublin Core <https://www.dublincore.org/specifications/dublin-core/dcmi-terms/>
and DataCite <https://support.datacite.org/docs/datacite-metadata-schema-44/> standards
preferred by European open science repositories to improve the findability, accessibility,
interoperability and reusability of the datasets.

Daniel Antal

dataset

Create Data Frames that are Easier to Exchange and Reuse

Marcelo Perlin

iris_dataset function

iris is a data frame with 150 cases (rows) and 5 variables (columns) named
Sepal.Length, Sepal.Width, Petal.Length, Petal.Width, and Species.

Format

This famous (Fisher's or Anderson's) iris data set gives the measurements in
centimetres of the variables sepal length and width and petal length and
width, respectively, for 50 flowers from each of 3 species of iris.
The species are Iris setosa, versicolor, and virginica.
This is a replication of <code>datasets::<a href='https://rdrr.io/r/datasets/iris.html'>iris</a></code> as
dataset s3 class.

iris_dataset: Edgar Anderson's Iris Data

Description

Usage

Arguments

Format

Details

References