Iris

datasets

Algorithm to handle with optimal subset selection for distributed local principal component analysis. The philosophy of the package is described in Guo G. (2020) <doi:10.1080/02331888.2020.1823979>.

Guangbao Guo

DLPCA

The Distributed Local PCA Algorithm

Guoqi Qian

Yixiao Liu

Haoyue Song

Iris function

A data frame with 150 observations on the following 5 variables.<dl>
 <dt><code>Sepal.length</code></dt>
<dd>a numeric vector</dd> <dt><code>Sepal.width</code></dt>
<dd>a numeric vector</dd> <dt><code>Petal.length</code></dt>
<dd>a numeric vector</dd> <dt><code>Petal.width</code></dt>
<dd>a numeric vector</dd> <dt><code>Species</code></dt>
<dd>a character vector</dd> 
</dl>

Format

Iris — Iris

A data frame with 150 observations on the following 5 variables.<dl>
 <dt><code>Sepal.length</code></dt>
<dd>a numeric vector</dd>

 <dt><code>Sepal.width</code></dt>
<dd>a numeric vector</dd>

 <dt><code>Petal.length</code></dt>
<dd>a numeric vector</dd>

 <dt><code>Petal.width</code></dt>
<dd>a numeric vector</dd>

 <dt><code>Species</code></dt>
<dd>a character vector</dd>

 
</dl>

Iris: Iris

Description

Usage

Arguments

Format

Details

Examples