This package was created to analyze multi-level one-way experimental designs. It is designed to handle vectorized observation and factor data where there are unequal sample sizes and population variance homogeneity can not be assumed. To conduct the Gabriel test, 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: | 0.7 |
| Published: | 2013-12-28 |
| Author: | Yihui XIE, Miao YU |
| Maintainer: | Miao YU <yufreecas at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/yufree/rgabriel |
| NeedsCompilation: | no |
| CRAN checks: | rgabriel results |
| Reference manual: | rgabriel.pdf |
| Package source: | rgabriel_0.7.tar.gz |
| Windows binaries: | r-devel: rgabriel_0.7.zip, r-release: rgabriel_0.7.zip, r-oldrel: rgabriel_0.7.zip |
| macOS binaries: | r-release: rgabriel_0.7.tgz, r-oldrel: rgabriel_0.7.tgz |
| Old sources: | rgabriel archive |
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