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EMSaov  

The Analysis of Variance with EMS
View on CRAN: Click here


Download and install EMSaov package within the R console
Install from CRAN:
install.packages("EMSaov")

Install from Github:
library("remotes")
install_github("cran/EMSaov")

Install by package version:
library("remotes")
install_version("EMSaov", "2.3")



Attach the package and use:
library("EMSaov")
Maintained by
Eun-Kyung Lee
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-08-12
Latest Update: 2018-05-09
Description:
Provides the analysis of variance table including the expected mean squares (EMS) for various types of experimental design. When some variables are random effects or we use special experimental design such as nested design, repeated-measures design, or split-plot design, it is not easy to find the appropriate test, especially denominator for F-statistic which depends on EMS.
How to cite:
Eun-Kyung Lee (2016). EMSaov: The Analysis of Variance with EMS. R package version 2.3, https://cran.r-project.org/web/packages/EMSaov. Accessed 07 Nov. 2024.
Previous versions and publish date:
1.3 (2016-08-12 12:41), 2.1 (2017-02-01 08:52), 2.2 (2017-02-16 07:55)
Other packages that cited EMSaov R package
View EMSaov citation profile
Other R packages that EMSaov depends, imports, suggests or enhances
Complete documentation for EMSaov
Functions, R codes and Examples using the EMSaov R package
Some associated functions: ApproxF . EMSanova . EMSaovApp . PooledANOVA . baseball . film . rubber . 
Some associated R codes: ApproxF.R . EMSApp.R . EMSanova.R . PooledANOVA.R .  Full EMSaov package functions and examples
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