bipower_equation_plot

plot power equation fitting results for bi-variate model

Most existing approaches for network reconstruction can only infer an overall network
and, also, fail to capture a complete set of network properties. To address these issues,
a new model has been developed, which converts static data into their 'dynamic' form.
'idopNetwork' is an 'R' interface to this model, it can inferring informative, dynamic,
omnidirectional and personalized networks. For more information on functional
clustering part, see Kim et al. (2008) <doi:10.1534/genetics.108.093690>,
Wang et al. (2011) <doi:10.1093/bib/bbr032>. For more information on our model,
see Chen et al. (2019) <doi:10.1038/s41540-019-0116-1>, and Cao et al. (2022)
<doi:10.1080/19490976.2022.2106103>.

Ang Dong

idopNetwork

A Network Tool to Dissect Spatial Community Ecology

bipower_equation_plot function

<dl><dt>result</dt>
<dd>list object returned from data_match</dd>
<dt>label</dt>
<dd>relabel x and y label due to log-transform, set 10 as default</dd>
<dt>n</dt>
<dd>scales for how many subplots needed</dd>
<dt>show.legend</dt>
<dd>show legend or not</dd>
<dt>color1</dt>
<dd>Hex Color Codes for first data</dd>
<dt>color2</dt>
<dd>Hex Color Codes for second data</dd></dl>

Arguments

plot power equation fitting results for bi-variate model — bipower_equation_plot

<dl>

<dt>result</dt>
<dd>list object returned from data_match</dd>


<dt>label</dt>
<dd>relabel x and y label due to log-transform, set 10 as default</dd>


<dt>n</dt>
<dd>scales for how many subplots needed</dd>


<dt>show.legend</dt>
<dd>show legend or not</dd>


<dt>color1</dt>
<dd>Hex Color Codes for first data</dd>


<dt>color2</dt>
<dd>Hex Color Codes for second data</dd>

</dl>

bipower_equation_plot: plot power equation fitting results for bi-variate model

Description

Usage

Value

Arguments