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Seamless interactive language interfacing between R and Stata

Author

Listed:
  • E.F. Haghish

    (University of Göttingen)

Abstract

In this article, I propose a new approach to language interfacing for statistical software by allowing automatic interprocess communication between R and Stata. I advocate interactive language interfacing in statistical software by automatizing data communication. I introduce the rcall package and provide examples of how the R language can be used interactively within Stata or embed- ded into Stata programs using the proposed approach to interfacing. Moreover, I discuss the pros and cons of object synchronization in language interfacing.

Suggested Citation

  • E.F. Haghish, 2019. "Seamless interactive language interfacing between R and Stata," Stata Journal, StataCorp LP, vol. 19(1), pages 61-82, March.
    • Handle: RePEc:tsj:stataj:v:19:y:2019:i:1:p:61-82
    DOI: 10.1177/1536867X19830891
    Note: to access software from within Stata, net describe http://www.stata-journal.com/software/sj19-1/pr0069/
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    File URL: http://hdl.handle.net/10.1177/1536867X19830891
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    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Rita Faria’s journal round-up for 29th July 2019
      by Rita Faria in The Academic Health Economists' Blog on 2019-07-29 11:00:29

    Citations

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    Cited by:

    1. Achim Ahrens & Christian B. Hansen & Mark E. Schaffer & Thomas Wiemann, 2024. "ddml: Double/debiased machine learning in Stata," Stata Journal, StataCorp LP, vol. 24(1), pages 3-45, March.
    2. David Roodman, 2024. "Julia as a universal platform for statistical software development," Papers 2404.09309, arXiv.org, revised Aug 2024.
    3. Anand, Amitabh & Vessal, Saeedeh Rezeaee & Rathi, Kishore & Ameen, Nisreen, 2021. "Show me your mobile and I will tell you who you are: Forecasting consumer compassion and altruism behaviour through smartphone type and usage," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).

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