Integrating R Machine Learning Algorithms in Stata using rcall: A Tutorial

Ebad F. Haghish
Additional contact information
Ebad F. Haghish: Department of Psychology, University of Oslo, Norway

London Stata Conference 2021 from Stata Users Group

Abstract: rcall is a Stata package that integrates R and R packages in Stata and supports seamless two-way data communication between R and Stata. The package offers two modes of data communication, which are 1) interactive and 2) non-interactive. In the first part of the presentation, I will introduce the latest updates of the package (version 3.0) and how to use it in practice for data analysis (interactive mode). The second part of the presentation concerns developing Stata packages with rcall (non-interactive mode) and how to defensively embed R and R packages within Stata programs. All the examples of the presentation, either for data analysis or package development, would be based on embedding R machine learning algorithms in Stata and using them in practice.

Date: 2021-09-12
New Economics Papers: this item is included in nep-big, nep-cmp and nep-isf
References: Add references at CitEc
Citations:

Downloads: (external link)
http://fmwww.bc.edu/repec/usug2021/usug21_haghish.pdf presentation materials (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:boc:usug21:9

Access Statistics for this paper

More papers in London Stata Conference 2021 from Stata Users Group Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().