iris

The Iris dataset is consists of 4 variables, 3 groups and 150 observations.
The last column of the data is Iris species.

datasets

Multivariate hypothesis tests and the confidence intervals. This package can be used for hypothesis tests which are The Hotelling T Square Tests (One-Sample, Two Independent Samples, Paired Samples), The One Way MANOVA,The Multivariate Shapiro-Wilk Test for Multivariate Normality Test, The Bartlett Test for One Sample Covariance Matrix, The Box-M Test and The Bartlett's Sphericity Test. For this package, we have benefited the studies Rencher (2003), Nel and Merwe (1986) <DOI: 10.1080/03610928608829342>, Tatlidil (1996), James (1994) <DOI: 10.2307/2333003>, Tsagris (2014), Villasenor Alva and Estrada (2009) <DOI: 10.1080/03610920802474465>.

Hasan BULUT

MVTests

Multivariate Hypothesis Tests

iris function

A data frame with 150 rows and 5 columns. The columns
are as follows:<dl class="dl-horizontal">
 <dt>Sepal.Length</dt><dd>The Sepal length values of iris flowers</dd>
 <dt>Sepal.Width</dt><dd>The Sepal width values of iris flowers</dd> 
 <dt>Petal.Length</dt><dd>The Petal length values of iris flowers</dd>
 <dt>Petal.Width</dt><dd>The Petal width values of iris flowers</dd> 
 <dt>Species</dt><dd>The species of iris flowers</dd>
</dl>

Format

Iris Data — iris

A data frame with 150 rows and 5 columns. The columns
are as follows:<dl class='dl-horizontal'>
 <dt>Sepal.Length</dt><dd>The Sepal length values of iris flowers</dd>
 <dt>Sepal.Width</dt><dd>The Sepal width values of iris flowers</dd> 
 <dt>Petal.Length</dt><dd>The Petal length values of iris flowers</dd>
 <dt>Petal.Width</dt><dd>The Petal width values of iris flowers</dd> 
 <dt>Species</dt><dd>The species of iris flowers</dd>
</dl>

iris: Iris Data

Description

Usage

Arguments

Format