EviewsR: An R Package for Dynamic and Reproducible Research Using EViews, R, R Markdown and Quarto

IF 2.3 4区 计算机科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
R Journal Pub Date : 2023-11-01 DOI:10.32614/rj-2023-045
Sagiru Mati, Irfan Civcir, S. I. Abba
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引用次数: 0

Abstract

EViews is a software designed for conducting econometric data analysis. There exists a one-way communication between EViews and R, as the former can run the code of the latter, but the reverse is not the case. We describe [EviewsR](https://CRAN.R-project.org/package=EviewsR), an R package which allows users of R, R Markdown and Quarto to execute EViews code. In essence, [EviewsR](https://CRAN.R-project.org/package=EviewsR) does not only provide functions for base R, but also adds EViews to the existing [knitr](https://CRAN.R-project.org/package=knitr)'s knit-engines. We also show how EViews equation, graph, series, and table objects can be imported and customised dynamically and reproducibly in R, R Markdown and Quarto document. Therefore, [EviewsR](https://CRAN.R-project.org/package=EviewsR) seeks to improve the accuracy, transparency and reproducibility of research conducted with EViews and R.
EviewsR:一个使用EViews, R, R Markdown和Quarto进行动态和可重复研究的R包
EViews是一款用于进行计量经济数据分析的软件。EViews和R之间存在单向通信,因为前者可以运行后者的代码,但反之则不然。我们描述了[EviewsR](https://CRAN.R-project.org/package=EviewsR),它是一个R包,允许R、R Markdown和Quarto的用户执行EViews代码。从本质上讲,[EviewsR](https://CRAN.R-project.org/package=EviewsR)不仅为base R提供了函数,而且还将EViews添加到现有的[knitr](https://CRAN.R-project.org/package=knitr)'s knits -engines)中。我们还展示了如何在R、R Markdown和Quarto文档中动态地导入和自定义EViews方程、图形、序列和表对象。因此,[EviewsR](https://CRAN.R-project.org/package=EviewsR)旨在提高使用EViews和R进行的研究的准确性、透明度和可重复性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
R Journal
R Journal COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-STATISTICS & PROBABILITY
CiteScore
2.70
自引率
0.00%
发文量
40
审稿时长
>12 weeks
期刊介绍: The R Journal is the open access, refereed journal of the R project for statistical computing. It features short to medium length articles covering topics that should be of interest to users or developers of R. The R Journal intends to reach a wide audience and have a thorough review process. Papers are expected to be reasonably short, clearly written, not too technical, and of course focused on R. Authors of refereed articles should take care to: - put their contribution in context, in particular discuss related R functions or packages; - explain the motivation for their contribution; - provide code examples that are reproducible.
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