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unrepx  

Analysis and Graphics for Unreplicated Experiments
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("unrepx", "1.0-2")



Attach the package and use:
library("unrepx")
Maintained by
Russell Lenth
[Scholar Profile | Author Map]
First Published: 2017-07-26
Latest Update: 2022-08-11
Description:
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.
How to cite:
Russell Lenth (2017). unrepx: Analysis and Graphics for Unreplicated Experiments. R package version 1.0-2, https://cran.r-project.org/web/packages/unrepx. Accessed 07 Apr. 2025.
Previous versions and publish date:
1.0 (2017-07-26 23:59)
Other packages that cited unrepx R package
View unrepx citation profile
Other R packages that unrepx depends, imports, suggests or enhances
Complete documentation for unrepx
Functions, R codes and Examples using the unrepx R package
Some associated functions: PSE . dotplot . examples . hnplot . paper . parplot . refdist . refplot . unrepx-package . yates . 
Some associated R codes: examples.R . paper.R . plots.R . scalests.R . yates.R .  Full unrepx package functions and examples
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