SIMPLE ALGORITHM TO CONSTRUCT CIRCULAR CONFIDENCE REGIONS IN CORRESPONDENCE ANALYSIS USING R

Correspondence analysis has been widely applied in various fields as a graphical method to depict the association structure between two categorical random variables on a low-dimensional plot. This study built a simple algorithm to determine the principal coordinates and construct the circular confid...

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Main Authors: Karunia Eka Lestari, Marsah Rahmawati Utami, Mokhammad Ridwan Yudhanegara
Format: Article
Language:English
Published: Universitas Pattimura 2022-03-01
Series:Barekeng
Subjects:
Online Access:https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/4218
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author Karunia Eka Lestari
Marsah Rahmawati Utami
Mokhammad Ridwan Yudhanegara
author_facet Karunia Eka Lestari
Marsah Rahmawati Utami
Mokhammad Ridwan Yudhanegara
author_sort Karunia Eka Lestari
collection DOAJ
description Correspondence analysis has been widely applied in various fields as a graphical method to depict the association structure between two categorical random variables on a low-dimensional plot. This study built a simple algorithm to determine the principal coordinates and construct the circular confidence regions on the correspondence plot. In this algorithm, the determination of the standard residual matrix and the principal coordinates is built directly from the contingency table (without calculating a correspondence matrix). The algorithm was developed using R and applied to data on Covid-19 cases in West Java.
format Article
id doaj-art-09f09b13263e444fad5f44ddbf1d912c
institution Kabale University
issn 1978-7227
2615-3017
language English
publishDate 2022-03-01
publisher Universitas Pattimura
record_format Article
series Barekeng
spelling doaj-art-09f09b13263e444fad5f44ddbf1d912c2025-08-20T04:01:48ZengUniversitas PattimuraBarekeng1978-72272615-30172022-03-0116106507410.30598/barekengvol16iss1pp065-0744218SIMPLE ALGORITHM TO CONSTRUCT CIRCULAR CONFIDENCE REGIONS IN CORRESPONDENCE ANALYSIS USING RKarunia Eka Lestari0Marsah Rahmawati Utami1Mokhammad Ridwan Yudhanegara2Department of Mathematics Education , Faculty of Teacher Training and Education , Universitas Singaperbangsa KarawangDepartment of Pharmacy, Faculty of Health Science, Universitas Singaperbangsa KarawangDepartment of Mathematics Education , Faculty of Teacher Training and Education , Universitas Singaperbangsa KarawangCorrespondence analysis has been widely applied in various fields as a graphical method to depict the association structure between two categorical random variables on a low-dimensional plot. This study built a simple algorithm to determine the principal coordinates and construct the circular confidence regions on the correspondence plot. In this algorithm, the determination of the standard residual matrix and the principal coordinates is built directly from the contingency table (without calculating a correspondence matrix). The algorithm was developed using R and applied to data on Covid-19 cases in West Java.https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/4218correspondence analysiscategorical datacircular confidence regioncontingency table
spellingShingle Karunia Eka Lestari
Marsah Rahmawati Utami
Mokhammad Ridwan Yudhanegara
SIMPLE ALGORITHM TO CONSTRUCT CIRCULAR CONFIDENCE REGIONS IN CORRESPONDENCE ANALYSIS USING R
Barekeng
correspondence analysis
categorical data
circular confidence region
contingency table
title SIMPLE ALGORITHM TO CONSTRUCT CIRCULAR CONFIDENCE REGIONS IN CORRESPONDENCE ANALYSIS USING R
title_full SIMPLE ALGORITHM TO CONSTRUCT CIRCULAR CONFIDENCE REGIONS IN CORRESPONDENCE ANALYSIS USING R
title_fullStr SIMPLE ALGORITHM TO CONSTRUCT CIRCULAR CONFIDENCE REGIONS IN CORRESPONDENCE ANALYSIS USING R
title_full_unstemmed SIMPLE ALGORITHM TO CONSTRUCT CIRCULAR CONFIDENCE REGIONS IN CORRESPONDENCE ANALYSIS USING R
title_short SIMPLE ALGORITHM TO CONSTRUCT CIRCULAR CONFIDENCE REGIONS IN CORRESPONDENCE ANALYSIS USING R
title_sort simple algorithm to construct circular confidence regions in correspondence analysis using r
topic correspondence analysis
categorical data
circular confidence region
contingency table
url https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/4218
work_keys_str_mv AT karuniaekalestari simplealgorithmtoconstructcircularconfidenceregionsincorrespondenceanalysisusingr
AT marsahrahmawatiutami simplealgorithmtoconstructcircularconfidenceregionsincorrespondenceanalysisusingr
AT mokhammadridwanyudhanegara simplealgorithmtoconstructcircularconfidenceregionsincorrespondenceanalysisusingr