Package: ImpactEffectsize 0.7
ImpactEffectsize: Calculation and Visualization of the Impact Effect Size Measure
A non-parametric effect size measure capturing changes in central tendency or shape of data distributions. The package provides the necessary functions to calculate and plot the Impact effect size measure between two groups.
Authors:
ImpactEffectsize_0.7.tar.gz
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ImpactEffectsize_0.7.tgz(r-4.4-x86_64)ImpactEffectsize_0.7.tgz(r-4.4-arm64)ImpactEffectsize_0.7.tgz(r-4.3-x86_64)ImpactEffectsize_0.7.tgz(r-4.3-arm64)
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ImpactEffectsize.pdf |ImpactEffectsize.html✨
ImpactEffectsize/json (API)
NEWS
| # Install 'ImpactEffectsize' in R: |
| install.packages('ImpactEffectsize', repos = c('https://ime-tmp-ffm.r-universe.dev', 'https://cloud.r-project.org')) |
- BcellLymphomaCD79 - Example data of bimodal CD79 expression.
- FeatureselectionData - Example data with two groups and the Impact effet size measure.
- FlowcytometricData - Example data of hematologic marker expression.
- SameMeansData - Example artificial data with two groups of same means but different data distribution shapes.
- StocksFluctuation - Example data of stock fluctuation.
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 months agofrom:68e27cc401. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 12 2024 |
| R-4.5-win-x86_64 | OK | Sep 12 2024 |
| R-4.5-linux-x86_64 | OK | Sep 12 2024 |
| R-4.4-win-x86_64 | OK | Sep 12 2024 |
| R-4.4-mac-x86_64 | OK | Sep 12 2024 |
| R-4.4-mac-aarch64 | OK | Sep 12 2024 |
| R-4.3-win-x86_64 | OK | Sep 12 2024 |
| R-4.3-mac-x86_64 | OK | Sep 12 2024 |
| R-4.3-mac-aarch64 | OK | Sep 12 2024 |
Exports:Impact
Dependencies:bitopscaToolsmatrixStatsparallelDistRcppRcppArmadilloRcppParallel
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| ImpactEffectsize-package | ImpactEffectsize-package |
| Example data of bimodal CD79 expression. | BcellLymphomaCD79 |
| Example data with two groups and the Impact effet size measure. | FeatureselectionData |
| Example data of hematologic marker expression. | FlowcytometricData |
| Impact effect size measure | Impact |
| Example artificial data with two groups of same means but different data distribution shapes. | SameMeansData |
| Example data of stock fluctuation. | StocksFluctuation |
