qvalue.restricted

This function calls <code>qvalue</code> on finite input p-values, optionally traps errors from the q-value
calculation, and returns just the q values.

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

qvalue.restricted function

<dl> <dt>p</dt>
<dd>a vector of p-values. Missing data are allowed and will be removed.</dd> <dt>trapErrors</dt>
<dd>logical: should errors generated by function <code>qvalue</code> trapped? If <code>TRUE</code>, the errors will be
silently ignored and the returned q-values will all be <code>NA</code>.</dd> <dt>...</dt>
<dd>other arguments to function <code>qvalue</code>.</dd></dl>

Arguments

Author

qvalue convenience wrapper — qvalue.restricted

<dl>

 <dt>p</dt>
<dd>a vector of p-values. Missing data are allowed and will be removed.</dd>

 <dt>trapErrors</dt>
<dd>logical: should errors generated by function <code>qvalue</code> trapped? If <code>TRUE</code>, the errors will be
silently ignored and the returned q-values will all be <code>NA</code>.</dd>

 <dt>...</dt>
<dd>other arguments to function <code>qvalue</code>.</dd>

</dl>

qvalue convenience wrapper

qvalue.restricted: qvalue convenience wrapper

Description

Usage

Value

Arguments

Author

See Also