Package: APCanalysis 1.0
APCanalysis: Analysis of Unreplicated Orthogonal Experiments using All Possible Comparisons
Analysis of data from unreplicated orthogonal experiments such as 2-level factorial and fractional factorial designs and Plackett-Burman designs using the all possible comparisons (APC) methodology developed by Miller (2005) <doi:10.1198/004017004000000608>.
Authors:
APCanalysis_1.0.tar.gz
APCanalysis_1.0.zip(r-4.5)APCanalysis_1.0.zip(r-4.4)APCanalysis_1.0.zip(r-4.3)
APCanalysis_1.0.tgz(r-4.4-any)APCanalysis_1.0.tgz(r-4.3-any)
APCanalysis_1.0.tar.gz(r-4.5-noble)APCanalysis_1.0.tar.gz(r-4.4-noble)
APCanalysis_1.0.tgz(r-4.4-emscripten)APCanalysis_1.0.tgz(r-4.3-emscripten)
APCanalysis.pdf |APCanalysis.html✨
APCanalysis/json (API)
# Install 'APCanalysis' in R: |
install.packages('APCanalysis', repos = c('https://ardenewan.r-universe.dev', 'https://cloud.r-project.org')) |
- PB12matrix - Plackett-Burman 12-run design matrix
- PB12response - Response Vector for PB12 design
- testdata - Testdata data frame
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 years agofrom:7721803ffa. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 01 2024 |
R-4.5-win | OK | Nov 01 2024 |
R-4.5-linux | OK | Nov 01 2024 |
R-4.4-win | OK | Nov 01 2024 |
R-4.4-mac | OK | Nov 01 2024 |
R-4.3-win | OK | Nov 01 2024 |
R-4.3-mac | OK | Nov 01 2024 |
Exports:apcEERpenaltiesFDRpenaltiesIERpenaltiesplot.apcsummary.apc
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Analysis of Unreplicated Orthogonal Experiments using All Possible Comparisons | APCanalysis-package APCanalysis |
All Possible Comparisons Analysis | apc |
EER Penalties for APC | EERpenalties |
FDR Penalties for APC | FDRpenalties |
IER Penalties for APC | IERpenalties |
Plackett-Burman 12-run design matrix | PB12matrix |
Response Vector for PB12 design | PB12response |
Graphical Summary of an APC Analysis | plot.apc |
Summary for an apc object | summary.apc |
testdata data frame | testdata |