density2d

Estimate point densities on a regular grid for.

Nucleotide conversion sequencing experiments have been
developed to add a temporal dimension to RNA-seq and single-cell RNA-seq. Such
experiments require specialized tools for primary processing such as GRAND-SLAM,
(see 'Jürges et al' <doi:10.1093/bioinformatics/bty256>) and specialized tools for
downstream analyses. 'grandR' provides a comprehensive toolbox for quality control,
kinetic modeling, differential gene expression analysis and visualization of such data.

Florian Erhard

grandR

Comprehensive Analysis of Nucleotide Conversion Sequencing Data

Teresa Rummel

Lygeri Sakellaridi

Kevin Berg

density2d function

<dl><dt>x</dt>
<dd>x coordinates</dd>
<dt>y</dt>
<dd>y coordinates</dd>
<dt>facet</dt>
<dd>factor: estimate for each unique factor; can be NULL</dd>
<dt>n</dt>
<dd>size of the grid</dd>
<dt>margin</dt>
<dd>one of 'n','x' or 'y'; should the density be computed along both axes ('n'), or along 'x' or 'y' axis only</dd></dl>

Arguments

Density estimation in 2d — density2d

<dl>

<dt>x</dt>
<dd>x coordinates</dd>


<dt>y</dt>
<dd>y coordinates</dd>


<dt>facet</dt>
<dd>factor: estimate for each unique factor; can be NULL</dd>


<dt>n</dt>
<dd>size of the grid</dd>


<dt>margin</dt>
<dd>one of 'n','x' or 'y'; should the density be computed along both axes ('n'), or along 'x' or 'y' axis only</dd>

</dl>

density2d: Density estimation in 2d

Description

Usage

Value

Arguments