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Transform  

Statistical Transformations
View on CRAN: Click here


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

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

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



Attach the package and use:
library("Transform")
Maintained by
Osman Dag
[Scholar Profile | Author Map]
First Published: 2023-06-08
Latest Update: 2023-06-08
Description:
Performs various statistical transformations; Box-Cox and Log (Box and Cox, 1964) <doi:10.1111/j.2517-6161.1964.tb00553.x>, Glog (Durbin et al., 2002) <doi:10.1093/bioinformatics/18.suppl_1.S105>, Neglog (Whittaker et al., 2005) <doi:10.1111/j.1467-9876.2005.00520.x>, Reciprocal (Tukey, 1957), Log Shift (Feng et al., 2016) <doi:10.1002/sta4.104>, Bickel-Docksum (Bickel and Doksum, 1981) <doi:10.1080/01621459.1981.10477649>, Yeo-Johnson (Yeo and Johnson, 2000)<doi:10.1093/biomet/87.4.954>, Square Root (Medina et al., 2019), Manly (Manly, 1976) <doi:10.2307/2988129>, Modulus (John and Draper, 1980)<doi:10.2307/2986305>, Dual (Yang, 2006) <doi:10.1016/j.econlet.2006.01.011>, Gpower (Kelmansky et al., 2013) <doi:10.1515/sagmb-2012-0030>. It also performs graphical approaches, assesses the success of the transformation via tests and plots.
How to cite:
Osman Dag (2023). Transform: Statistical Transformations. R package version 1.0, https://cran.r-project.org/web/packages/Transform. Accessed 02 Apr. 2025.
Previous versions and publish date:
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Complete documentation for Transform
Functions, R codes and Examples using the Transform R package
Full Transform package functions and examples
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