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-4.7)POV_0.1.4.zip(r-4.6)POV_0.1.4.zip(r-4.5)
POV_0.1.4.tgz(r-4.6-any)POV_0.1.4.tgz(r-4.5-any)
POV_0.1.4.tar.gz(r-4.6-any)POV_0.1.4.tar.gz(r-4.5-any)
POV_0.1.4.tgz(r-4.5-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:
  • dt - Dataset for variance component analysis
  • dt2 - Dataset for single factor variance component analysis, used in vignette
  • VarTable - Summary table from dt, used for vignette

On CRAN:

Conda:

4.54 score 4 scripts 360 downloads 7 mentions 1 exports 24 dependencies

Last updated from:a09596ea50. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK131
source / vignettesOK156
linux-release-x86_64OK123
macos-release-arm64OK140
macos-oldrel-arm64OK143
windows-develOK78
windows-releaseOK64
windows-oldrelOK94
wasm-releaseOK127

Exports:POV

Dependencies:backportsbroomclicpp11dplyrformula.toolsgenericsgluelifecyclemagrittroperator.toolspillarpkgconfigpurrrR6rlangstringistringrtibbletidyrtidyselectutf8vctrswithr

Partition of Variation

Rendered fromPOV.Rmdusingknitr::rmarkdownon Apr 16 2026.

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