seeds

The examined group comprised kernels belonging to three different varieties of wheat: Kama, Rosa and Canadian, 70 elements each, randomly selected for the experiment. High quality visualization of the internal kernel structure was detected using a soft X-ray technique. Studies were conducted using combine harvested wheat grain originating from experimental fields, explored at the Institute of Agrophysics of the Polish Academy of Sciences in Lublin.

datasets

The utility of this package includes finite mixture modeling and model-based clustering through Manly mixture models by Zhu and Melnykov (2016) <DOI:10.1016/j.csda.2016.01.015>. It also provides capabilities for forward and backward model selection procedures.

Xuwen Zhu

ManlyMix

Manly Mixture Modeling and Model-Based Clustering

Volodymyr Melnykov

Michael Hutt

Stephen Moshier

Rouben Rostamian

seeds function

A data frame with 210 observations on the following 7 variables.<dl>
 <dt>V1</dt>
<dd>Area A;</dd> <dt>V2</dt>
<dd>Perimeter P;</dd> <dt>V3</dt>
<dd>Compactness;</dd> <dt>V4</dt>
<dd>Length of kernel;</dd> <dt>V5</dt>
<dd>Width of kernel;</dd> <dt>V6</dt>
<dd>Asymmetry coefficient;</dd> <dt>V7</dt>
<dd>Length of kernel groove;</dd> <dt>V8</dt>
<dd>Seed species: <code>1</code>, <code>2</code>, <code>3</code></dd> 
</dl>

Format

Wheat kernel Data — seeds

A data frame with 210 observations on the following 7 variables.<dl>
 <dt>V1</dt>
<dd>Area A;</dd>

 <dt>V2</dt>
<dd>Perimeter P;</dd>

 <dt>V3</dt>
<dd>Compactness;</dd>

 <dt>V4</dt>
<dd>Length of kernel;</dd>

 <dt>V5</dt>
<dd>Width of kernel;</dd>

 <dt>V6</dt>
<dd>Asymmetry coefficient;</dd>

 <dt>V7</dt>
<dd>Length of kernel groove;</dd>

 <dt>V8</dt>
<dd>Seed species: <code>1</code>, <code>2</code>, <code>3</code></dd>

 
</dl>

seeds: Wheat kernel Data

Description

Usage

Arguments

Format

References

Examples