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POV  

Partition of Variation Variance Component Analysis Method
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("POV", "0.1.4")



Attach the package and use:
library("POV")
Maintained by
Paul Deen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-11-16
Latest Update: 2020-11-16
Description:
An implementation of the Partition Of variation (POV) method as developed by Dr. Thomas A Little in 1993 for the analysis of semiconductor data for hard drive manufacturing. POV is based on sequential sum of squares and is an exact method that explains all observed variation. It quantitates both the between and within factor variation effects and can quantitate the influence of both continuous and categorical factors.
How to cite:
Paul Deen (2020). POV: Partition of Variation Variance Component Analysis Method. R package version 0.1.4, https://cran.r-project.org/web/packages/POV. Accessed 22 Dec. 2024.
Previous versions and publish date:
No previous versions
Other packages that cited POV R package
View POV citation profile
Other R packages that POV depends, imports, suggests or enhances
Complete documentation for POV
Functions, R codes and Examples using the POV R package
Some associated functions: POV . VarTable . dt . dt2 . 
Some associated R codes: data.R . pov.R .  Full POV package functions and examples
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