normalizeLabels

Transforms numerical labels into normal order, that is the largest group will be labeled 1, next
largest 2 etc. Label 0 is optionally preserved.

misc

Functions necessary to perform Weighted Correlation Network Analysis on high-dimensional data as originally described in Horvath and Zhang (2005) <doi:10.2202/1544-6115.1128> and Langfelder and Horvath (2008) <doi:10.1186/1471-2105-9-559>. Includes functions for rudimentary data cleaning, construction of correlation networks, module identification, summarization, and relating of variables and modules to sample traits. Also includes a number of utility functions for data manipulation and visualization.

Peter Langfelder

WGCNA

Weighted Correlation Network Analysis

Steve Horvath

Chaochao Cai

Jun Dong

Jeremy Miller

Lin Song

Andy Yip

Bin Zhang

normalizeLabels function

<dl> <dt>labels</dt>
<dd>Numerical labels.</dd> <dt>keepZero</dt>
<dd>If <code>TRUE</code> (the default), labels 0 are preserved.</dd></dl>

Arguments

Peter Langfelder, <a href="/link/Peter.Langfelder%40gmail.com?package=WGCNA&version=1.73" data-mini-rdoc="WGCNA::Peter.Langfelder@gmail.com">Peter.Langfelder@gmail.com</a>

Author

Transform numerical labels into normal order. — normalizeLabels

<dl>

 <dt>labels</dt>
<dd>Numerical labels.</dd>

 <dt>keepZero</dt>
<dd>If <code>TRUE</code> (the default), labels 0 are preserved.</dd>

</dl>

Peter Langfelder, <a href='mailto:Peter.Langfelder@gmail.com'>Peter.Langfelder@gmail.com</a>

normalizeLabels: Transform numerical labels into normal order.

Description

Usage

Value

Arguments

Author