can_permute

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

can_permute function

<dl><dt>extract_func</dt>
<dd>univariate or bivariate function</dd>
<dt>summary_func</dt>
<dd>summary function</dd>
<dt>permute_CSR</dt>
<dd>whether or not user wants to permute</dd>
<dt>markvar_levels</dt>
<dd>how many levels are in the column the user wants for column of interest</dd></dl>

Arguments

Can Permute Checker — can_permute

<dl>

<dt>extract_func</dt>
<dd>univariate or bivariate function</dd>


<dt>summary_func</dt>
<dd>summary function</dd>


<dt>permute_CSR</dt>
<dd>whether or not user wants to permute</dd>


<dt>markvar_levels</dt>
<dd>how many levels are in the column the user wants for column of interest</dd>

</dl>

can_permute: Can Permute Checker

Description

Usage

Value

Arguments