standardColors

Returns the vector of color names in the order they are assigned by other functions in this library.

misc

color

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

standardColors function

<dl> <dt>n</dt>
<dd>Number of colors requested. If <code>NULL</code>, all (approx. 450) colors will be returned. Any
other invalid argument such as less than one or more than maximum (<code>length(standardColors())</code>) will
trigger an error.</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

Colors this library uses for labeling modules. — standardColors

<dl>

 <dt>n</dt>
<dd>Number of colors requested. If <code>NULL</code>, all (approx. 450) colors will be returned. Any
other invalid argument such as less than one or more than maximum (<code>length(standardColors())</code>) will
trigger an error.</dd>

</dl>

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

standardColors: Colors this library uses for labeling modules.

Description

Usage

Value

Arguments

Author

Examples