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onewaytests  

One-Way Tests in Independent Groups Designs
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("onewaytests", "3.1")



Attach the package and use:
library("onewaytests")
Maintained by
Osman Dag
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-08-24
Latest Update: 2025-07-22
Description:
Performs one-way tests in independent groups designs including homoscedastic and heteroscedastic tests. These are one-way analysis of variance (ANOVA), Welch's heteroscedastic F test, Welch's heteroscedastic F test with trimmed means and Winsorized variances, Brown-Forsythe test, Alexander-Govern test, James second order test, Kruskal-Wallis test, Scott-Smith test, Box F test, Johansen F test, Generalized tests equivalent to Parametric Bootstrap and Fiducial tests, Alvandi's F test, Alvandi's generalized p-value, approximate F test, B square test, Cochran test, Weerahandi's generalized F test, modified Brown-Forsythe test, adjusted Welch's heteroscedastic F test, Welch-Aspin test, Permutation F test. The package performs pairwise comparisons and graphical approaches. Also, the package includes Student's t test, Welch's t test and Mann-Whitney U test for two samples. Moreover, it assesses variance homogeneity and normality of data in each group via tests and plots (Dag et al., 2018, ).
How to cite:
Osman Dag (2015). onewaytests: One-Way Tests in Independent Groups Designs. R package version 3.1, https://cran.r-project.org/web/packages/onewaytests. Accessed 07 Mar. 2026.
Previous versions and publish date:
1.0 (2015-08-24 16:21), 1.1 (2015-12-03 13:28), 1.2 (2016-07-29 18:27), 1.3 (2017-03-16 17:16), 1.4 (2017-04-14 18:03), 1.5 (2017-10-11 14:36), 1.6 (2018-01-30 15:34), 1.7 (2018-06-04 19:43), 1.8 (2018-08-13 13:20), 1.9 (2018-10-18 14:30), 2.0 (2019-02-04 08:50), 2.1 (2019-04-05 18:00), 2.2 (2019-04-26 11:30), 2.3 (2019-05-18 01:00), 2.4 (2019-08-19 20:00), 2.5 (2021-01-07 10:00), 2.6 (2021-04-22 12:30), 2.7 (2023-01-18 16:00), 3.0 (2023-10-02 00:00)
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