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Integrating R and Java for Enhancing Interactivity of Algorithmic Data Analysis Software Solutions

Author

Listed:
  • Titus Felix FURTUNA

    (The Bucharest University of Economic Studies)

  • Claudiu VINTE

    (The Bucharest University of Economic Studies)

Abstract

Conceiving software solutions for statistical processing and algorithmic data analysis involves handling diverse data, fetched from various sources and in different formats, and presenting the results in a suggestive,tailorable manner. Our ongoing research aims to design programming technics for integrating R developing environment with Java programming language for interoperability at a source code level. The goal is to combine the intensive data processing capabilities of R programing language, along with the multitude of statistical function libraries, with the flexibility offered by Java programming language and platform, in terms of graphical user interface and mathematical function libraries.Both developing environments are multiplatform oriented, and can complement each other through interoperability. R is a comprehensive and concise programming language, benefiting from a continuously expanding and evolving set of packages for statistical analysis, developed by the open source community. While is a very efficient environment for statistical data processing, R platform lacks support for developing user friendly, interactive, graphical user interfaces (GUIs). Java on the other hand, is a high level object oriented programming language, which supports designing and developing performant and interactive frameworks for general purpose software solutions, through Java Foundation Classes, JavaFX and various graphical libraries. In this paper we treat both aspects of integration and interoperability that refer to integrating Java code into R applications, and bringing R processing sequences into Java driven software solutions. Our research has been conducted focusing on case studies concerning pattern recognition and cluster analysis.

Suggested Citation

  • Titus Felix FURTUNA & Claudiu VINTE, 2016. "Integrating R and Java for Enhancing Interactivity of Algorithmic Data Analysis Software Solutions," Romanian Statistical Review, Romanian Statistical Review, vol. 64(2), pages 29-41, June.
    • Handle: RePEc:rsr:journl:v:64:y:2016:i:2:p:29-41
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    References listed on IDEAS

    as
    1. Lawrence, Michael & Temple Lang, Duncan, 2010. "RGtk2: A Graphical User Interface Toolkit for R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 37(i08).
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    More about this item

    Keywords

    R; Java; Integration; Interactivity; Algorithmic Data Analysis;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software

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