vectorizeMatrix

A convenient function to turn a matrix into a vector of non-redundant components. If the matrix is
non-symmetric, returns a vector containing all entries of the matrix. If the matrix is symmetric, only
returns the upper triangle and optionally the diagonal.

 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

vectorizeMatrix function

<dl> <dt>M</dt>
<dd>the matrix or data frame to be vectorized.</dd> <dt>diag</dt>
<dd>logical: should the diagonal be included in the output?</dd></dl>

Arguments

Author

Turn a matrix into a vector of non-redundant components — vectorizeMatrix

<dl>

 <dt>M</dt>
<dd>the matrix or data frame to be vectorized.</dd>

 <dt>diag</dt>
<dd>logical: should the diagonal be included in the output?</dd>

</dl>

Turn a matrix into a vector of non-redundant components

vectorizeMatrix: Turn a matrix into a vector of non-redundant components

Description

Usage

Value

Arguments

Author