一个R包，用于组合非复制双向表的交互测试

IF 2.3 4区计算机科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

R Journal Pub Date : 2023-08-26 DOI:10.32614/rj-2023-037

Mahmood Kharrati-Kopaei, Zahra Shenavari, Hossein Haghbin

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引用次数: 0

摘要

已经提出了几个新的测试，用于测试方差模型的非重复双向分析中的相互作用。不幸的是，每个测试对于检测交互模式都很强大。因此，将多个相互作用试验结合起来，以提高对重要相互作用的检测能力是合理的。我们介绍了[combinIT](https://CRAN.R-project.org/package=combinIT)包，它为研究人员提供了六种现有推荐的相互作用测试的结果，包括:测试统计值、精确蒙特卡罗p值、近似或调整的p值、四个组合测试的结果以及如果讨论的测试是显著的相互作用类型的解释。与现有的两个软件包相比，软件组合是一个更全面的R软件包。此外，与现有的软件包相比，该软件可以快速执行以获得精确的蒙特卡罗p值，即使对于大型蒙特卡罗运行也是如此。

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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combinIT: An R Package for Combining Interaction Tests for Unreplicated Two-Way Tables

Several new tests have been proposed for testing interaction in unreplicated two-way analysis of variance models. Unfortunately, each test is powerful for detecting a pattern of interaction. Therefore, it is reasonable to combine multiple interaction tests to increase the power of detection for significant interactions. We introduce the package [combinIT](https://CRAN.R-project.org/package=combinIT) that provides researchers the results of six existing recommended interaction tests, including: the value of test statistics, exact Monte Carlo p-values, approximated or adjusted p-values, the results of four combined tests and explanations of interaction types if the discussed tests are significant. The software combinIT is a more comprehensive R package in comparison with the two existing packages. In addition, the software is executed quickly to obtain the exact Monte Carlo p-values, even for large Monte Carlo runs, in contrast to existing packages.

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来源期刊

R Journal COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-STATISTICS & PROBABILITY

CiteScore

2.70

自引率

0.00%

发文量

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.