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 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.
Supplementary materials are available in addition to this article. It can be downloaded at RJ-2023-037.zip
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For attribution, please cite this work as
Kharrati-Kopaei, et al., "combinIT: An R Package for Combining Interaction Tests for Unreplicated Two-Way Tables", The R Journal, 2023
BibTeX citation
@article{RJ-2023-037,
author = {Kharrati-Kopaei, Mahmood and Shenavari, Zahra and Haghbin, Hossein},
title = {combinIT: An R Package for Combining Interaction Tests for Unreplicated Two-Way Tables},
journal = {The R Journal},
year = {2023},
note = {https://doi.org/10.32614/RJ-2023-037},
doi = {10.32614/RJ-2023-037},
volume = {15},
issue = {1},
issn = {2073-4859},
pages = {284-296}
}