qvalue.restricted

a vector of p-values. Missing data are allowed and will be removed.

logical: should errors generated by function <code><a rd-options="" href="/link/qvalue?package=WGCNA&version=1.68" data-mini-rdoc="WGCNA::qvalue">qvalue</a></code> trapped? If <code>TRUE</code>, the errors will be
silently ignored and the returned q-values will all be <code>NA</code>.

trapErrors

other arguments to function <code><a rd-options="" href="/link/qvalue?package=WGCNA&version=1.68" data-mini-rdoc="WGCNA::qvalue">qvalue</a></code>.

&#8230;

This function calls <code><a rd-options="" href="/link/qvalue?package=WGCNA&version=1.68" data-mini-rdoc="WGCNA::qvalue">qvalue</a></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

qvalue.restricted function

logical: should errors generated by function <code><a rd-options='' href='qvalue'>qvalue</a></code> trapped? If <code>TRUE</code>, the errors will be
silently ignored and the returned q-values will all be <code>NA</code>.

other arguments to function <code><a rd-options='' href='qvalue'>qvalue</a></code>.

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

qvalue.restricted: qvalue convenience wrapper

Description

Usage

Arguments

Value

See Also