onewaytests: One-Way Tests in Independent Groups Designs
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 and Johansen F test, Generalized tests equivalent to Parametric Bootstrap and Fiducial tests. 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, <https://journal.r-project.org/archive/2018/RJ-2018-022/RJ-2018-022.pdf>).
Version: |
2.6 |
Depends: |
R (≥ 3.2.0) |
Imports: |
stats, moments, car, ggplot2, nortest, graphics, utils |
Suggests: |
AID, tibble |
Published: |
2021-04-22 |
Author: |
Osman Dag [aut, cre], Anil Dolgun [aut], N. Meric Konar [aut], Sam Weerahandi [ctb], Malwane Ananda [ctb] |
Maintainer: |
Osman Dag <osman.dag at outlook.com> |
License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: |
no |
CRAN checks: |
onewaytests results |
Documentation:
Downloads:
Reverse dependencies:
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