colQuantileC

rowQuantileC

Fast calculation of column- and row-wise quantiles of a matrix at a single probability. Implemented via compiled
code, it is much faster than the equivalent <code>apply(data, 2, quantile, prob = p)</code>.

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

colQuantileC function

<dl> <dt>data</dt>
<dd>a numerical matrix column-wise quantiles are desired. Missing values are removed.</dd> <dt>p</dt>
<dd>a single probability at which the quantile is to be calculated.</dd></dl>

Arguments

Author

Fast colunm- and row-wise quantile of a matrix. — colQuantileC

<dl>

 <dt>data</dt>
<dd>a numerical matrix column-wise quantiles are desired. Missing values are removed.</dd>

 <dt>p</dt>
<dd>a single probability at which the quantile is to be calculated.</dd>

</dl>

Fast colunm- and row-wise quantile of a matrix.

colQuantileC: Fast colunm- and row-wise quantile of a matrix.

Description

Usage

Value

Arguments

Author

Details

See Also