The R Journal: accepted article

This article will be copy edited and may be changed before publication.

EMSaov: An R Package for the Analysis of Variances with the Expected Mean Squares and its Shiny Application
Hye-Min Choe, Mijeong Kim and Eun-Kyung Lee

Abstract EMSaov is a new R package that we developed to provide users with an analysis of variance table including the expected mean squares (EMS) for various types of experimental design. It is not easy to find the appropriate test, particularly the denominator for the F statistic that depends on the EMS, when some variables exhibit random effects or when we use a special experimental design such as nested design, repeated measures design, or split-plot design. With EMSaov, a user can easily find the F statistic denominator and can determine how to analyze the data when using a special experimental design. We also develop a web application with a GUI interface using the shiny package in R . We expect that our application can contribute to the efficient and easy analysis of experimental data.

Received: 2016-08-25; online 2017-03-27
CRAN packages: nlme, afex, EMSaov, shiny , CRAN Task Views implied by cited CRAN packages: ChemPhys, Econometrics, Environmetrics, Finance, OfficialStatistics, Pharmacokinetics, Psychometrics, SocialSciences, Spatial, SpatioTemporal, WebTechnologies


CC BY 4.0
This article is licensed under a Creative Commons Attribution 4.0 International license.

@article{RJ-2017-011,
  author = {Hye-Min Choe and Mijeong Kim and Eun-Kyung Lee},
  title = {{EMSaov: An R Package for the Analysis of Variances with the
          Expected Mean Squares and its Shiny Application}},
  year = {2017},
  journal = {{The R Journal}},
  url = {https://journal.r-project.org/archive/2017/RJ-2017-011/index.html}
}