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

  • Karunia Eka Lestari Department of Mathematics Education , Faculty of Teacher Training and Education , Universitas Singaperbangsa Karawang
  • Marsah Rahmawati Utami Department of Pharmacy, Faculty of Health Science, Universitas Singaperbangsa Karawang
  • Mokhammad Ridwan Yudhanegara Department of Mathematics Education , Faculty of Teacher Training and Education , Universitas Singaperbangsa Karawang
DOI: https://doi.org/10.30598/barekengvol16iss1pp065-074
Keywords: correspondence analysis, categorical data, circular confidence region, contingency table

Abstract

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.

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Published
2022-03-21
How to Cite
[1]
K. Lestari, M. Utami, and M. Yudhanegara, “SIMPLE ALGORITHM TO CONSTRUCT CIRCULAR CONFIDENCE REGIONS IN CORRESPONDENCE ANALYSIS USING R”, BAREKENG: J. Math. & App., vol. 16, no. 1, pp. 065-074, Mar. 2022.
Issue
Vol 16 No 1 (2022): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Section
Articles

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