The data | A first attempt: classical I-MR | The right tool: regression chart with phase detection | Why log-log? | Methodological caveats | A note on the package's history | References
Package: shewhartr 1.3.0
André Leite
shewhartr: Statistical Process Control with Tidyverse-Native Workflows
A comprehensive toolkit for Statistical Process Control (SPC) that combines the rigor of classical Shewhart methodology with modern tidyverse-native interfaces. Provides classical control charts for variables (I-MR, Xbar-R, Xbar-S) and attributes (p, np, c, u), as well as regression-based control charts for processes with trend. Includes Nelson runs tests, Average Run Length (ARL) simulation, process capability indices with bootstrap confidence intervals, Box-Cox transformation guidance, and a clean Phase I / Phase II workflow. All chart objects integrate with broom via 'tidy', 'glance' and 'augment' methods. References: Shewhart (1931, ISBN:0-87389-076-0); Montgomery (2019, ISBN:978-1-119-39930-8); Nelson (1984) <doi:10.1080/00224065.1984.11978921>; Woodall (2000) <doi:10.1080/00224065.2000.11980013>; Box & Cox (1964) <doi:10.1111/j.2517-6161.1964.tb00553.x>.
Authors:
shewhartr_1.3.0.tar.gz
shewhartr_1.3.0.zip(r-4.7)shewhartr_1.3.0.zip(r-4.6)shewhartr_1.3.0.zip(r-4.5)
shewhartr_1.3.0.tgz(r-4.6-any)shewhartr_1.3.0.tgz(r-4.5-any)
shewhartr_1.3.0.tar.gz(r-4.7-any)shewhartr_1.3.0.tar.gz(r-4.6-any)
shewhartr_1.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
shewhartr/json (API)
| # Install 'shewhartr' in R: |
| install.packages('shewhartr', repos = c('https://castlaboratory.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/castlaboratory/shewhartr/issues
Pkgdown/docs site:https://castlaboratory.github.io
Datasets:
- bacterial_growth - Bacterial growth curve
- bottle_fill - Bottle filling volumes
- claims_p - Daily insurance claim error rates
- cvd_recife - COVID-19 daily mortality, Recife, Brazil, 2020
- pcb_solder - Solder defects on printed circuit boards
- tablet_weight - Pharmaceutical tablet weights
- temperature_drift - Curing oven temperature drift
Last updated from:d302b1b656. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 178 | ||
| source / vignettes | OK | 207 | ||
| linux-release-x86_64 | OK | 176 | ||
| macos-release-arm64 | OK | 164 | ||
| macos-oldrel-arm64 | OK | 157 | ||
| windows-devel | OK | 138 | ||
| windows-release | OK | 114 | ||
| windows-oldrel | OK | 104 | ||
| wasm-release | OK | 121 |
Exports:as_plotlybox_coxcalibratecolor_huefit_gompertz_dummyGompertzilogloginv_box_coxis_shewhart_chartloglogmonitorrolling_sumshewhart_arlshewhart_box_coxshewhart_cshewhart_capabilityshewhart_constantsshewhart_cusumshewhart_diagnosticsshewhart_ewmashewhart_hotellingshewhart_i_mrshewhart_mcusumshewhart_mewmashewhart_npshewhart_pshewhart_paletteshewhart_regressionshewhart_rules_availableshewhart_runsshewhart_themeshewhart_ushewhart_xbar_rshewhart_xbar_sSSgompertzDummy
Dependencies:backportsbroomclicpp11dplyrfarvergenericsggplot2gluegtableisobandlabelinglifecyclemagrittrpillarpkgconfigpurrrR6RColorBrewerrlangS7scalessliderstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewarpwithr
Case study: epidemiological monitoring (COVID-19, Recife)
Last update: 2026-05-09
Started: 2026-05-06
Regression-based control charts
A simple example: linear drift | Sigma from residuals | Phase detection | A worked example with many phases and visible violations | The model menu | A growth-curve example | Interpreting violations | References
Last update: 2026-05-09
Started: 2026-05-06
ARL by Monte Carlo simulation
Closed-form benchmarks | Adding rules sharpens detection | A quantitative comparison: WE-7 vs Nelson 2 | Beyond normal residuals | References
Last update: 2026-05-07
Started: 2026-05-06
Memory-based charts: EWMA and CUSUM
When the Shewhart chart is too slow | EWMA — Exponentially Weighted Moving Average | Choosing lambda | CUSUM — Cumulative Sum | Choosing k and h | Phase II monitoring | Which one should I use? | References
Last update: 2026-05-07
Started: 2026-05-07
Multivariate charts: Hotelling T²
When univariate charts are not enough | What the chart computes | Diagnosing an alarm with contributions | Phase II workflow | When not to reach for a Hotelling chart | References
Last update: 2026-05-07
Started: 2026-05-07
Attributes charts: p, np, c, u
p chart with variable n | c chart and Poisson honesty | np chart for constant n | u chart for variable exposure | References
Last update: 2026-05-06
Started: 2026-05-06
Choosing a transformation: Box-Cox in practice
A textbook example | Interaction with shewhart_regression(model = "auto") | When not to transform | References
Last update: 2026-05-06
Started: 2026-05-06
Getting started with shewhartr
Five minutes, three charts | 1. An I-MR chart on individual measurements | 2. An Xbar-R chart on a subgrouped process | 3. A c chart on defect counts | Working with the result | Phase I and Phase II | A roadmap for the rest of the documentation | References
Last update: 2026-05-06
Started: 2026-05-06
Phase I and Phase II
A worked example | Phase I: calibration | Phase II: monitoring | Why the trim step matters | When this matters most | References
Last update: 2026-05-06
Started: 2026-05-06
Residual diagnostics, Tukey style
What the panels show | A diagnosis-driven fix: Box-Cox | When non-normality is a feature, not a bug | References
Last update: 2026-05-06
Started: 2026-05-06
Variables charts: I-MR, Xbar-R, Xbar-S
When to use which | I-MR | Robust alternatives | Xbar-R | Xbar-S | Reading the results | References
Last update: 2026-05-06
Started: 2026-05-06
