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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 [aut, cre], Yihui XIE [aut] |
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.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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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