filter_data

not used in an important want currently

internal

Methods and tools for deriving spatial summary functions from single-cell imaging
data and performing functional data analyses. Functions can be applied to other single-cell
technologies such as spatial transcriptomics. Functional regression and functional principal component analysis methods
are in the 'refund' package <https://cran.r-project.org/package=refund> while calculation of the
spatial summary functions are from the 'spatstat' package <https://spatstat.org/>.

Alex Soupir

mxfda

A Functional Data Analysis Package for Spatial Single Cell Data

Julia Wrobel

filter_data function

<dl><dt>dat</dt>
<dd>a data frame which to filter</dd>
<dt>filter_columns</dt>
<dd>named vector where names is the column and element is what to filter to</dd></dl>

Arguments

Filter Data — filter_data

<dl>

<dt>dat</dt>
<dd>a data frame which to filter</dd>


<dt>filter_columns</dt>
<dd>named vector where names is the column and element is what to filter to</dd>

</dl>

filter_data: Filter Data

Description

Usage

Value

Arguments

Details