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  • 标题:EMSaov: An R Package for the Analysis of Variance with the Expected Mean Squares and its Shiny Application
  • 本地全文:下载
  • 作者:Hye-Min Choe ; Mijeong Kim ; Eun-Kyung Lee
  • 期刊名称:R News
  • 印刷版ISSN:1609-3631
  • 出版年度:2017
  • 卷号:9
  • 期号:1
  • 页码:252-261
  • 语种:English
  • 出版社:The R Foundation for Statistical Computing
  • 摘要: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.
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