Package: pid 0.50

pid: Process Improvement using Data

A collection of scripts and data files for the statistics text: "Process Improvement using Data" <https://learnche.org/pid> and the online course "Experimentation for Improvement" found on Coursera. The package contains code for designed experiments, data sets and other convenience functions used in the book.

Authors:Kevin Dunn [aut, cre]

pid_0.50.tar.gz
pid_0.50.zip(r-4.5)pid_0.50.zip(r-4.4)pid_0.50.zip(r-4.3)
pid_0.50.tgz(r-4.4-any)pid_0.50.tgz(r-4.3-any)
pid_0.50.tar.gz(r-4.5-noble)pid_0.50.tar.gz(r-4.4-noble)
pid_0.50.tgz(r-4.4-emscripten)pid_0.50.tgz(r-4.3-emscripten)
pid.pdf |pid.html
pid/json (API)

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

Peer review:

Bug tracker:https://bitbucket.org/kevindunn/r-pid

Datasets:
  • boilingpot - Full factorial experiments for stove-top boiling of water.
  • distillate.flow - The flow rate of distillate from the top of a distillation column.
  • golf - Full factorial experiments to maximize a golfer's driving distance.
  • oil.doe - Industrial designed experiment to improve the volumetric heat capacity of a product.
  • pollutant - Water treatment example from BHH2, Ch 5, Question 19
  • solar - Solar panel example from BHH2, Chapter 5, page 230

On CRAN:

7 exports 2 stars 2.18 score 49 dependencies 9 mentions 63 scripts 292 downloads

Last updated 6 years agofrom:08e7af3573. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 31 2024
R-4.5-winNOTEAug 31 2024
R-4.5-linuxNOTEAug 31 2024
R-4.4-winNOTEAug 31 2024
R-4.4-macNOTEAug 31 2024
R-4.3-winNOTEAug 31 2024
R-4.3-macNOTEAug 31 2024

Exports:contourPlotgrocerymanufactureparetoPlotpopcorntradeofftradeOffTable

Dependencies:clicolorspacecombinatconf.designcpp11DoE.basefansifarverFrF2FrF2.catlg128ggplot2gluegmpgtableigraphisobandlabelinglatticelifecyclelmtestmagrittrMASSmathjaxrMatrixmgcvmunsellnlmenumberspartitionspillarpkgconfigpngpolynomR6rbibutilsRColorBrewerRdpackrlangscalesscatterplot3dsetssfsmisctibbleutf8vcdvctrsviridisLitewithrzoo