network_stat

Provides a robust collection of functions tailored for microbial ecology analysis, encompassing both data analysis and visualization. It introduces an encapsulation feature that streamlines the process into a summary object. With the initial configuration of this summary object, users can execute a wide range of analyses with a single line of code, requiring only two essential parameters for setup. The package delivers comprehensive outputs including analysis objects, statistical outcomes, and visualization-ready data, enhancing the efficiency of research workflows. Designed with user-friendliness in mind, it caters to both novices and seasoned researchers, offering an intuitive interface coupled with adaptable customization options to meet diverse analytical needs.

Ningqi Wang

LorMe

Lightening One-Code Resolving Microbial Ecology Solution

Yaozhong Zhang

Gaofei Jiang

network_stat function

<dl><dt>input</dt>
<dd>An igraph object.</dd>
<dt>report</dt>
<dd>Logical. If print report to console. Default:TRUE</dd></dl>

Arguments

Wang Ningqi <a href="/link/2434066068%40qq.com?package=LorMe&version=1.2.1" data-mini-rdoc="LorMe::2434066068@qq.com">2434066068@qq.com</a>

Author

Igraph network statistics — network_stat

<dl>

<dt>input</dt>
<dd>An igraph object.</dd>


<dt>report</dt>
<dd>Logical. If print report to console. Default:TRUE</dd>

</dl>

Wang Ningqi <a href='mailto:2434066068@qq.com'>2434066068@qq.com</a>

network_stat: Igraph network statistics

Description

Usage

Value

Arguments

Author