Package: unrepx 1.0-3
unrepx: Analysis and Graphics for Unreplicated Experiments
Provides half-normal plots, reference plots, and Pareto plots of effects from an unreplicated experiment, along with various pseudo-standard-error measures, simulated reference distributions, and other tools. Many of these methods are described in Daniel C. (1959) <doi:10.1080/00401706.1959.10489866> and/or Lenth R.V. (1989) <doi:10.1080/00401706.1989.10488595>, but some new approaches are added and integrated in one package.
Authors:
unrepx_1.0-3.tar.gz
unrepx_1.0-3.zip(r-4.5)unrepx_1.0-3.zip(r-4.4)unrepx_1.0-3.zip(r-4.3)
unrepx_1.0-3.tgz(r-4.4-any)unrepx_1.0-3.tgz(r-4.3-any)
unrepx_1.0-3.tar.gz(r-4.5-noble)unrepx_1.0-3.tar.gz(r-4.4-noble)
unrepx_1.0-3.tgz(r-4.4-emscripten)unrepx_1.0-3.tgz(r-4.3-emscripten)
unrepx.pdf |unrepx.html✨
unrepx/json (API)
NEWS
| # Install 'unrepx' in R: |
| install.packages('unrepx', repos = c('https://rvlenth.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/rvlenth/unrepx/issues
Last updated 6 months agofrom:968413dc12. Checks:OK: 1 NOTE: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 06 2024 |
| R-4.5-win | NOTE | Nov 06 2024 |
| R-4.5-linux | NOTE | Nov 06 2024 |
| R-4.4-win | NOTE | Nov 06 2024 |
| R-4.4-mac | NOTE | Nov 06 2024 |
| R-4.3-win | NOTE | Nov 06 2024 |
| R-4.3-mac | NOTE | Nov 06 2024 |
Exports:bikeEffdaniel.paperdot.iddot.moddot.ploteff.testgyateshnplotMEparplotpdEffPSEref.distrefplotshnkDispshnkEffviseEffyates
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Analysis and graphics for unreplicated experiments | unrepx-package unrepx |
| Half-normal graph paper | daniel.paper |
| Resizeable dot plots | dot.id dot.mod dot.plot |
| Half-normal plots (Daniel plots) of effects | hnplot |
| Pareto plot of effects | parplot |
| Effect examples | bikeEff pdEff shnkDisp shnkEff viseEff |
| Pseudo standard error of effects | ME PSE |
| Analysis of effects from screening experiments | eff.test ref.dist |
| Dot plot of effects with a reference distribution | refplot |
| Yates's algorithm | gyates yates |
