Analyze multi-level one-way experimental designs where there are unequal sample sizes and population variance homogeneity can not be assumed. To conduct the Gabriel test <doi:10.2307/2286265>, create two vectors: one for your observations and one for the factor level of each observation. The function, rgabriel, conduct the test and save the output as a vector to input into the gabriel.plot function, which produces a confidence interval plot for Multiple Comparison.
| Version: | 0.9 |
| Published: | 2022-05-09 |
| DOI: | 10.32614/CRAN.package.rgabriel |
| Author: | Miao YU |
| Maintainer: | Miao YU <yufreecas at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/yufree/rgabriel, http://yufree.github.io/rgabriel/ |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | rgabriel results |
| Reference manual: | rgabriel.html , rgabriel.pdf |
| Package source: | rgabriel_0.9.tar.gz |
| Windows binaries: | r-devel: rgabriel_0.9.zip, r-release: rgabriel_0.9.zip, r-oldrel: rgabriel_0.9.zip |
| macOS binaries: | r-release (arm64): rgabriel_0.9.tgz, r-oldrel (arm64): rgabriel_0.9.tgz, r-release (x86_64): rgabriel_0.9.tgz, r-oldrel (x86_64): rgabriel_0.9.tgz |
| Old sources: | rgabriel archive |
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