splitDiffFeatureGroups

Split a diffFeatureGroups data.frame into a list of two featureGroups
data.frames, which can then be passed to <code>simphony()</code>.

A tool for simulating rhythmic data: transcriptome data using
Gaussian or negative binomial distributions, and behavioral activity data
using Bernoulli or Poisson distributions. See Singer et al. (2019)
<doi:10.7717/peerj.6985>.

Jake Hughey

simphony

Simulating Large-Scale, Rhythmic Data

Jordan Singer

Darwin Fu

splitDiffFeatureGroups function

<dl><dt>diffFeatureGroups</dt>
<dd><code>data.frame</code> with optional columns <code>meanBase</code>,
<code>dBase</code>, <code>meanSd</code>, <code>dSd</code>, <code>meanAmp</code>, <code>dAmp</code>, <code>meanPhase</code>, and <code>dPhase</code>
describing the changes in abundance between two conditions. Each row
corresponds to a group of features.</dd>
<dt>checkValid</dt>
<dd>Logical for whether to only return rows for which both
amplitudes are greater than or equal to zero and both standard deviations
are greater than zero.</dd></dl>

Arguments

Split differential featureGroups — splitDiffFeatureGroups

<dl>

<dt>diffFeatureGroups</dt>
<dd><code>data.frame</code> with optional columns <code>meanBase</code>,
<code>dBase</code>, <code>meanSd</code>, <code>dSd</code>, <code>meanAmp</code>, <code>dAmp</code>, <code>meanPhase</code>, and <code>dPhase</code>
describing the changes in abundance between two conditions. Each row
corresponds to a group of features.</dd>


<dt>checkValid</dt>
<dd>Logical for whether to only return rows for which both
amplitudes are greater than or equal to zero and both standard deviations
are greater than zero.</dd>

</dl>

splitDiffFeatureGroups: Split differential featureGroups

Description

Usage

Value

Arguments

See Also

Examples