Package: POV 0.1.4

POV: Partition of Variation Variance Component Analysis Method

An implementation of the Partition Of variation (POV) method as developed by Dr. Thomas A Little <https://thomasalittleconsulting.com> 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.

Authors:Paul Deen [aut, cre]

POV_0.1.4.tar.gz
POV_0.1.4.zip(r-4.5)POV_0.1.4.zip(r-4.4)POV_0.1.4.zip(r-4.3)
POV_0.1.4.tgz(r-4.5-any)POV_0.1.4.tgz(r-4.4-any)POV_0.1.4.tgz(r-4.3-any)
POV_0.1.4.tar.gz(r-4.5-noble)POV_0.1.4.tar.gz(r-4.4-noble)
POV_0.1.4.tgz(r-4.4-emscripten)POV_0.1.4.tgz(r-4.3-emscripten)
POV.pdf |POV.html✨
POV/json (API)

# Install 'POV' in R:
install.packages('POV', repos = c('https://paulantondeen.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/paulantondeen/pov-r-package/issues

Datasets:
  • VarTable - Summary table from dt, used for vignette
  • dt - Dataset for variance component analysis
  • dt2 - Dataset for single factor variance component analysis, used in vignette

On CRAN:

Conda-Forge:

4.54 score 4 scripts 183 downloads 7 mentions 1 exports 25 dependencies

Last updated 4 years agofrom:a09596ea50. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 26 2025
R-4.5-winOKFeb 26 2025
R-4.5-macOKFeb 26 2025
R-4.5-linuxOKFeb 26 2025
R-4.4-winOKFeb 26 2025
R-4.4-macOKFeb 26 2025
R-4.3-winOKFeb 26 2025
R-4.3-macOKFeb 26 2025

Exports:POV

Dependencies:backportsbroomclicpp11dplyrfansiformula.toolsgenericsgluelifecyclemagrittroperator.toolspillarpkgconfigpurrrR6rlangstringistringrtibbletidyrtidyselectutf8vctrswithr

Partition of Variation

Rendered fromPOV.Rmdusingknitr::rmarkdownon Feb 26 2025.

Last update: 2020-10-05
Started: 2020-10-05