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APCanalysis  

Analysis of Unreplicated Orthogonal Experiments using All Possible Comparisons
View on CRAN: Click here


Download and install APCanalysis package within the R console
Install from CRAN:
install.packages("APCanalysis")

Install from Github:
library("remotes")
install_github("cran/APCanalysis")

Install by package version:
library("remotes")
install_version("APCanalysis", "1.0")



Attach the package and use:
library("APCanalysis")
Maintained by
Arden Miller
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-11-07
Latest Update: 2017-11-07
Description:
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) .
How to cite:
Arden Miller (2017). APCanalysis: Analysis of Unreplicated Orthogonal Experiments using All Possible Comparisons. R package version 1.0, https://cran.r-project.org/web/packages/APCanalysis. Accessed 06 Nov. 2024.
Previous versions and publish date:
No previous versions
Other packages that cited APCanalysis R package
View APCanalysis citation profile
Other R packages that APCanalysis depends, imports, suggests or enhances
Complete documentation for APCanalysis
Functions, R codes and Examples using the APCanalysis R package
Some associated functions: APCanalysis-package . EERpenalties . FDRpenalties . IERpenalties . PB12matrix . PB12response . apc . plot.apc . summary.apc . testdata . 
Some associated R codes: EERpenalties.R . FDRpenalties.R . IERpenalties.R . apc.R . plot.apc.R . summary.apc.R .  Full APCanalysis package functions and examples
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