as.sparse.H5Group

as.data.frame.Matrix

A toolkit for quality control, analysis, and exploration of single cell RNA sequencing data. 'Seurat' aims to enable users to identify and interpret sources of heterogeneity from single cell transcriptomic measurements, and to integrate diverse types of single cell data. See Satija R, Farrell J, Gennert D, et al (2015) <doi:10.1038/nbt.3192>, Macosko E, Basu A, Satija R, et al (2015) <doi:10.1016/j.cell.2015.05.002>, Stuart T, Butler A, et al (2019) <doi:10.1016/j.cell.2019.05.031>, and Hao, Hao, et al (2020) <doi:10.1101/2020.10.12.335331> for more details.

Paul Hoffman

Seurat

Tools for Single Cell Genomics

Andrew Butler

Saket Choudhary

Charlotte Darby

Jeff Farrell

Isabella Grabski

Christoph Hafemeister

Yuhan Hao

Austin Hartman

Jaison Jain

Longda Jiang

Madeline Kowalski

Skylar Li

Gesmira Molla

Efthymia Papalexi

Patrick Roelli

Rahul Satija

Karthik Shekhar

Avi Srivastava

Tim Stuart

Kristof Torkenczy

Shiwei Zheng

Satija Lab and Collaborators 

as.sparse.H5Group function

<dl><dt>x</dt>
<dd>An object</dd>
<dt>...</dt>
<dd>Arguments passed to other methods</dd>
<dt>row.names</dt>
<dd><code>NULL</code> or a character vector giving the row names for
the data; missing values are not allowed</dd>
<dt>optional</dt>
<dd>logical. If <code>TRUE</code>, setting row names and
 converting column names (to syntactic names: see
 <code><a href="/link/make.names?package=Seurat&version=5.0.3" data-mini-rdoc="Seurat::make.names">make.names</a></code>) is optional. Note that all of R's
 base package <code><a href="/link/as.data.frame()?package=Seurat&version=5.0.3" data-mini-rdoc="Seurat::as.data.frame()">as.data.frame()</a></code> methods use
 <code>optional</code> only for column names treatment, basically with the
 meaning of <code><a href="/link/data.frame?package=Seurat&version=5.0.3" data-mini-rdoc="Seurat::data.frame">data.frame</a>(*, check.names = !optional)</code>.
 See also the <code>make.names</code> argument of the <code>matrix</code> method.</dd>
<dt>stringsAsFactors</dt>
<dd>logical: should the character vector be converted
 to a factor?</dd></dl>

Arguments

Cast to Sparse — as.sparse.H5Group

<dl>

<dt>x</dt>
<dd>An object</dd>


<dt>...</dt>
<dd>Arguments passed to other methods</dd>


<dt>row.names</dt>
<dd><code>NULL</code> or a character vector giving the row names for
the data; missing values are not allowed</dd>


<dt>optional</dt>
<dd>logical. If <code>TRUE</code>, setting row names and
 converting column names (to syntactic names: see
 <code><a href='https://rdrr.io/r/base/make.names.html'>make.names</a></code>) is optional. Note that all of R's
 base package <code><a href='https://rdrr.io/r/base/as.data.frame.html'>as.data.frame()</a></code> methods use
 <code>optional</code> only for column names treatment, basically with the
 meaning of <code><a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a>(*, check.names = !optional)</code>.
 See also the <code>make.names</code> argument of the <code>matrix</code> method.</dd>


<dt>stringsAsFactors</dt>
<dd>logical: should the character vector be converted
 to a factor?</dd>

</dl>

Cast to Sparse

as.sparse.H5Group: Cast to Sparse

Description

Usage

Value

Arguments

See Also