fun_clu_select

select result of functional clustering result

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

fun_clu_select function

<dl><dt>result_fit</dt>
<dd>list directly from power_equation_fit</dd>
<dt>result_funclu</dt>
<dd>list from fun_clu_convert</dd>
<dt>i</dt>
<dd>scale of which cluster selected</dd></dl>

Arguments

select result of functional clustering result — fun_clu_select

<dl>

<dt>result_fit</dt>
<dd>list directly from power_equation_fit</dd>


<dt>result_funclu</dt>
<dd>list from fun_clu_convert</dd>


<dt>i</dt>
<dd>scale of which cluster selected</dd>

</dl>

fun_clu_select: select result of functional clustering result

Description

Usage

Value

Arguments