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Automatically performs desired statistical tests (e.g. wilcox.test(), t.test()) to compare between groups, and adds the resulting p-values to the plot with an annotation bar. Visualizing group differences are frequently performed by boxplots, bar plots, etc. Statistical test results are often needed to be annotated on these plots. This package provides a convenient function that works on 'ggplot2' objects, performs the desired statistical test between groups of interest and annotates the test results on the plot.
| Version: | 0.2.5 |
| Imports: | ggplot2, data.table |
| Suggests: | knitr, rmarkdown, markdown, testthat |
| Published: | 2022-07-11 |
| Author: | Jun Cheng [aut, cre] |
| Maintainer: | Jun Cheng <s6juncheng at gmail.com> |
| License: | GPL-3 |
| URL: | https://github.com/s6juncheng/ggpval |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | ggpval results |
| Reference manual: | ggpval.pdf |
| Vignettes: |
ggpval user guide |
| Package source: | ggpval_0.2.5.tar.gz |
| Windows binaries: | r-devel: ggpval_0.2.5.zip, r-release: ggpval_0.2.5.zip, r-oldrel: ggpval_0.2.5.zip |
| macOS binaries: | r-release (arm64): ggpval_0.2.5.tgz, r-oldrel (arm64): ggpval_0.2.5.tgz, r-release (x86_64): ggpval_0.2.5.tgz, r-oldrel (x86_64): ggpval_0.2.5.tgz |
| Old sources: | ggpval 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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