Package: rQCC 2.22.12

Chanseok Park

rQCC: Robust Quality Control Chart

Constructs various robust quality control charts based on the median or Hodges-Lehmann estimator (location) and the median absolute deviation (MAD) or Shamos estimator (scale). The estimators used for the robust control charts are all unbiased with a sample of finite size. For more details, see Park, Kim and Wang (2022) <doi:10.1080/03610918.2019.1699114>. In addition, using this R package, the conventional quality control charts such as X-bar, S, R, p, np, u, c, g, h, and t charts are also easily constructed. This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2022R1A2C1091319).

Authors:Chanseok Park [aut, cre], Min Wang [ctb]

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rQCC.pdf |rQCC.html
rQCC/json (API)
NEWS

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

Bug tracker:https://github.com/appliedstat/r/issues

Datasets:

On CRAN:

Conda:

control-chartgoodness-of-fitr-languageweibull

4.70 score 2 stars 3 scripts 328 downloads 26 exports 0 dependencies

Last updated 1 years agofrom:bd34801eaf. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 17 2025
R-4.5-winOKFeb 17 2025
R-4.5-macOKFeb 17 2025
R-4.5-linuxOKFeb 17 2025
R-4.4-winOKFeb 17 2025
R-4.4-macOKFeb 17 2025
R-4.3-winOKFeb 17 2025
R-4.3-macOKFeb 17 2025

Exports:accc4.factorevarfactors.ccfinite.breakdownHLmad.unbiasedmad2.unbiasedplot.accplot.raccplot.rccpooledEstimatorprint.accprint.raccprint.rccraccrccREsd.unbiasedshamosshamos.unbiasedshamos2.unbiasedsummary.accsummary.raccsummary.rccw4.factor

Dependencies:

Attributes control charts (acc) in the rQCC package

Rendered fromacc.Rnwusingutils::Sweaveon Feb 17 2025.

Last update: 2022-12-28
Started: 2022-01-25

Factors for constructing control limits in the rQCC package

Rendered fromfactors.cc.Rnwusingutils::Sweaveon Feb 17 2025.

Last update: 2022-12-28
Started: 2020-07-01

Pooled location and scale estimators

Rendered frompooledEstimator.Rnwusingutils::Sweaveon Feb 17 2025.

Last update: 2022-12-28
Started: 2022-12-28

Robust g-type attributes control charts (racc) in the rQCC package

Rendered fromracc.Rnwusingutils::Sweaveon Feb 17 2025.

Last update: 2022-12-28
Started: 2022-05-23

Robut control charts (rcc) in the rQCC package

Rendered fromrcc.Rnwusingutils::Sweaveon Feb 17 2025.

Last update: 2022-12-28
Started: 2020-07-01

Readme and manuals

Help Manual

Help pageTopics
Attributes control chart with balanced/unbalanced samplesacc print.acc summary.acc
Empirical variances of robust estimatorsevar
Factors for constructing control chartsfactors.cc
Finite-sample breakdown pointfinite.breakdown
Hodges-Lehmann estimatorHL
Median absolute deviation (MAD)mad.unbiased mad2.unbiased
Empirical biases (times n)n.times.eBias.of.mad n.times.eBias.of.shamos
Empirical variances (times n)n.times.eVar.of.HL1 n.times.eVar.of.HL2 n.times.eVar.of.HL3 n.times.eVar.of.mad n.times.eVar.of.median n.times.eVar.of.shamos
Plot quality control chartplot.acc plot.racc plot.rcc
Pooled EstimatorpooledEstimator
Relative efficiency (RE)RE
Robust attributes control charts with balanced/unbalanced samplesprint.racc racc summary.racc
Robust quality control chart with balanced/unbalanced samplesprint.rcc rcc rQCC summary.rcc
Unbiased standard deviationsd.unbiased
Shamos estimatorshamos shamos.unbiased shamos2.unbiased
Finite-sample unbiasing factorc4.factor w4.factor