Academic Journal
Interca: an R library implementing "automatic" interpretation of results of multiple correspondence analysis (MCA).
| Τίτλος: | Interca: an R library implementing "automatic" interpretation of results of multiple correspondence analysis (MCA). |
|---|---|
| Συγγραφείς: | Moschidis, Stratos1,2 (AUTHOR) smos@iti.gr, Markos, Angelos3 (AUTHOR) amarkos@eled.duth.gr, Ioannidis, Dimosthenis1 (AUTHOR) djoannid@iti.gr |
| Πηγή: | Applied Computing & Informatics. 2026, Vol. 22 Issue 3/4, p289-299. 11p. |
| Θεματικοί όροι: | Multiple correspondence analysis (Statistics), Software libraries (Computer programming), Open source software, Data visualization, Coordinate axes (Mathematics), Application software |
| Περίληψη: | Purpose: The purpose of this paper is to develop a software-library in the R programming language that implements the concepts of the interpretive coordinate, interpretive axis and interpretive plane. This allows for the automatic and reliable interpretation of results from the multiple correspondence analysis (MCA) as previously proposed and published. Consequently, the users can seamlessly apply these concepts to their data, both via R commands and a corresponding graphical interface. Design/methodology/approach: Within the context of this study, and through extensive literature review, the advantages of developing software using the Shiny library were examined. This library allows for the development of full-stack applications for R users without the need for knowledge of the corresponding technologies required for the development of complex applications. Additionally, the structural components of a Shiny application were presented, leading ultimately to the proposed software application. Findings: Software utilizing the Shiny library enables nonexpert developers to rapidly develop specialized applications, either to present or to assist in the understanding of objects or concepts that are scientifically intriguing and complex. Specifically, with this proposed application, the users can promptly and effectively apply the scientific concepts addressed in this study to their data. Additionally, they can dynamically generate charts and reports that are readily available for download and sharing. Research limitations/implications: The proposed package is an implementation of the fundamental concepts of the exploratory MCA method. In the next step, discoveries from the geometric data analysis will be added as features to provide more comprehensive information to the users. Practical implications: The practical implications of this work include the dissemination of the method's use to a broader audience. Additionally, the decision to implement it with open-source code will result in the integration of the package's functions by other third-party user packages. Originality/value: The proposed software introduces the initial implementation of concepts such as interpretive coordination, the interpretive axis and the interpretive plane. This package aims to broaden and simplify the application of these concepts to benefit stakeholders in scientific research. The software can be accessed for free in a code repository, the link to which is provided in the full text of the study. [ABSTRACT FROM AUTHOR] |
| Βάση Δεδομένων: | Supplemental Index |
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| Items | – Name: Title Label: Title Group: Ti Data: Interca: an R library implementing "automatic" interpretation of results of multiple correspondence analysis (MCA). – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Moschidis%2C+Stratos%22">Moschidis, Stratos</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> smos@iti.gr</i><br /><searchLink fieldCode="AR" term="%22Markos%2C+Angelos%22">Markos, Angelos</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> amarkos@eled.duth.gr</i><br /><searchLink fieldCode="AR" term="%22Ioannidis%2C+Dimosthenis%22">Ioannidis, Dimosthenis</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> djoannid@iti.gr</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Applied+Computing+%26+Informatics%22">Applied Computing & Informatics</searchLink>. 2026, Vol. 22 Issue 3/4, p289-299. 11p. – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Multiple+correspondence+analysis+%28Statistics%29%22">Multiple correspondence analysis (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Software+libraries+%28Computer+programming%29%22">Software libraries (Computer programming)</searchLink><br /><searchLink fieldCode="DE" term="%22Open+source+software%22">Open source software</searchLink><br /><searchLink fieldCode="DE" term="%22Data+visualization%22">Data visualization</searchLink><br /><searchLink fieldCode="DE" term="%22Coordinate+axes+%28Mathematics%29%22">Coordinate axes (Mathematics)</searchLink><br /><searchLink fieldCode="DE" term="%22Application+software%22">Application software</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Purpose: The purpose of this paper is to develop a software-library in the R programming language that implements the concepts of the interpretive coordinate, interpretive axis and interpretive plane. This allows for the automatic and reliable interpretation of results from the multiple correspondence analysis (MCA) as previously proposed and published. Consequently, the users can seamlessly apply these concepts to their data, both via R commands and a corresponding graphical interface. Design/methodology/approach: Within the context of this study, and through extensive literature review, the advantages of developing software using the Shiny library were examined. This library allows for the development of full-stack applications for R users without the need for knowledge of the corresponding technologies required for the development of complex applications. Additionally, the structural components of a Shiny application were presented, leading ultimately to the proposed software application. Findings: Software utilizing the Shiny library enables nonexpert developers to rapidly develop specialized applications, either to present or to assist in the understanding of objects or concepts that are scientifically intriguing and complex. Specifically, with this proposed application, the users can promptly and effectively apply the scientific concepts addressed in this study to their data. Additionally, they can dynamically generate charts and reports that are readily available for download and sharing. Research limitations/implications: The proposed package is an implementation of the fundamental concepts of the exploratory MCA method. In the next step, discoveries from the geometric data analysis will be added as features to provide more comprehensive information to the users. Practical implications: The practical implications of this work include the dissemination of the method's use to a broader audience. Additionally, the decision to implement it with open-source code will result in the integration of the package's functions by other third-party user packages. Originality/value: The proposed software introduces the initial implementation of concepts such as interpretive coordination, the interpretive axis and the interpretive plane. This package aims to broaden and simplify the application of these concepts to benefit stakeholders in scientific research. The software can be accessed for free in a code repository, the link to which is provided in the full text of the study. [ABSTRACT FROM AUTHOR] |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edo&AN=194902486 |
| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 289 Subjects: – SubjectFull: Multiple correspondence analysis (Statistics) Type: general – SubjectFull: Software libraries (Computer programming) Type: general – SubjectFull: Open source software Type: general – SubjectFull: Data visualization Type: general – SubjectFull: Coordinate axes (Mathematics) Type: general – SubjectFull: Application software Type: general Titles: – TitleFull: Interca: an R library implementing "automatic" interpretation of results of multiple correspondence analysis (MCA). Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Moschidis, Stratos – PersonEntity: Name: NameFull: Markos, Angelos – PersonEntity: Name: NameFull: Ioannidis, Dimosthenis IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 22108327 Numbering: – Type: volume Value: 22 – Type: issue Value: 3/4 Titles: – TitleFull: Applied Computing & Informatics Type: main |
| ResultId | 1 |