iris_long

Edgar Anderson's Iris Data in long format.

datasets

Utilities for producing dataframes with rich details for the
most common types of statistical approaches and tests: parametric,
nonparametric, robust, and Bayesian t-test, one-way ANOVA, correlation
analyses, contingency table analyses, and meta-analyses. The functions
are pipe-friendly and provide a consistent syntax to work with tidy
data. These dataframes additionally contain expressions with
statistical details, and can be used in graphing packages. This
package also forms the statistical processing backend for
'ggstatsplot'. References: Patil (2021) <doi:10.21105/joss.03236>.

Indrajeet Patil

statsExpressions

Tidy Dataframes and Expressions with Statistical Details

iris_long function

A data frame with 600 rows and 5 variables<ul>
<li>id. Dummy identity number for each flower (150 flowers in total).</li>
<li>Species.	The species are Iris setosa, versicolor, and
virginica.</li>
<li>condition. Factor giving a detailed description of the attribute
(Four levels: <code>"Petal.Length"</code>, <code>"Petal.Width"</code>, <code>"Sepal.Length"</code>,
<code>"Sepal.Width"</code>).</li>
<li>attribute.	What attribute is being measured (<code>"Sepal"</code> or <code>"Pepal"</code>).</li>
<li>measure.	What aspect of the attribute is being measured (<code>"Length"</code>
or <code>"Width"</code>).</li>
<li>value.	Value of the measurement.</li>
</ul>

iris_long: Edgar Anderson's Iris Data in long format.

Description

Usage

Arguments

Format

Details

Examples