transform_data

This function computes the multivariate ranks of the data for each observation time

Allows to detect spatial clusters of abnormal values on multivariate or functional data. Martin KULLDORFF and Lan HUANG and Kevin KONTY (2009) <doi:10.1186/1476-072X-8-58>, Inkyung JUNG and Ho Jin CHO (2015) <doi:10.1186/s12942-015-0024-6>, Lionel CUCALA and Michael GENIN and Caroline LANIER and Florent OCCELLI (2017) <doi:10.1016/j.spasta.2017.06.001>, Lionel CUCALA and Michael GENIN and Florent OCCELLI and Julien SOULA (2019) <doi:10.1016/j.spasta.2018.10.002>, Camille FREVENT and Mohamed-Salem AHMED and Matthieu MARBAC and Michael GENIN (2021) <doi:10.1016/j.spasta.2021.100550>, Zaineb SMIDA and Lionel CUCALA and Ali GANNOUN and Ghislain Durif (2022) <doi:10.1016/j.csda.2021.107378>, Camille FREVENT and Mohamed-Salem AHMED and Sophie DABO-NIANG and Michael GENIN (2023) <doi:10.1093/jrsssc/qlad017>.

Camille FREVENT

HDSpatialScan

Multivariate and Functional Spatial Scan Statistics

Mohamed-Salem AHMED

Julien SOULA

Zaineb SMIDA

Lionel CUCALA

Sophie DABO-NIANG

Michaël GENIN

transform_data function

<dl><dt>data</dt>
<dd>List. List of the data, each element of the list corresponds to a site (or an individual), each row corresponds to a variable and each column represents an observation time.</dd></dl>

Arguments

Computation of the multivariate functional ranks — transform_data

<dl>

<dt>data</dt>
<dd>List. List of the data, each element of the list corresponds to a site (or an individual), each row corresponds to a variable and each column represents an observation time.</dd>

</dl>

transform_data: Computation of the multivariate functional ranks

Description

Usage

Value

Arguments