Package: qcr 1.3

Miguel Flores

qcr: Quality Control Review

Univariate and multivariate SQC tools that completes and increases the SQC techniques available in R. Apart from integrating different R packages devoted to SQC ('qcc','MSQC'), provides nonparametric tools that are highly useful when Gaussian assumption is not met. This package computes standard univariate control charts for individual measurements, X-bar, S, R, p, np, c, u, EWMA and CUSUM. In addition, it includes functions to perform multivariate control charts such as Hotelling T2, MEWMA and MCUSUM. As representative feature, multivariate nonparametric alternatives based on data depth are implemented in this package: r, Q and S control charts. In addition, Phase I and II control charts for functional data are included. This package also allows the estimation of the most complete set of capability indices from first to fourth generation, covering the nonparametric alternatives, and performing the corresponding capability analysis graphical outputs, including the process capability plots.

Authors:Miguel Flores [aut, cre], Ruben Fernandez-Casal [aut], Salvador Naya [aut], Javier Tarrio-Saavedra [aut], Jorge Sosa Donoso [ctb]

qcr_1.3.tar.gz
qcr_1.3.zip(r-4.5)qcr_1.3.zip(r-4.4)qcr_1.3.zip(r-4.3)
qcr_1.3.tgz(r-4.4-any)qcr_1.3.tgz(r-4.3-any)
qcr_1.3.tar.gz(r-4.5-noble)qcr_1.3.tar.gz(r-4.4-noble)
qcr_1.3.tgz(r-4.4-emscripten)qcr_1.3.tgz(r-4.3-emscripten)
qcr.pdf |qcr.html✨
qcr/json (API)
NEWS

# Install 'qcr' in R:
install.packages('qcr', repos = c('https://mflores72000.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/mflores72000/qcr/issues

Datasets:

On CRAN:

4.65 score 1 packages 150 scripts 483 downloads 36 exports 61 dependencies

Last updated 1 years agofrom:4b07dcc8bd. Checks:ERROR: 7. Indexed: yes.

TargetResultDate
Doc / VignettesFAILNov 20 2024
R-4.5-winERRORNov 20 2024
R-4.5-linuxERRORNov 20 2024
R-4.4-winERRORNov 20 2024
R-4.4-macERRORNov 20 2024
R-4.3-winERRORNov 20 2024
R-4.3-macERRORNov 20 2024

Exports:fdqcdfdqcs.depthfdqcs.rankmqcdmqcsmqcs.addmqcs.mcusummqcs.mewmamqcs.t2mstate.controlnpqcdnpqcsnpqcs.addnpqcs.Qnpqcs.rnpqcs.Snpstate.controlqcdqcsqcs.addqcs.cqcs.caqcs.cpqcs.cpnqcs.cusumqcs.ewmaqcs.hat.cpmqcs.npqcs.oneqcs.pqcs.pcrqcs.Rqcs.Sqcs.uqcs.xbarstate.control

Dependencies:ashbitopscliclustercodetoolscolorspacedeSolvedoParallelevaluatefansifarverfdafda.uscfdsFNNforeachggplot2gluegtablehdrcdehighrisobanditeratorskernlabKernSmoothknitrkskSampleslabelinglatticelifecyclelocfitmagrittrMASSMatrixmclustmgcvmulticoolmunsellmvtnormnlmepcaPPpillarpkgconfigpracmaqccR6rainbowRColorBrewerRcppRCurlrlangscalesSuppDiststibbleutf8vctrsviridisLitewithrxfunyaml

Readme and manuals

Help Manual

Help pageTopics
Target archery dataset in the ranking round (used as Phase I)archery1
Circuit boards datacircuit
The performance of the counters datacounters
Dowel pin datasetdowel1
Level of employment dataemployment
It creates a data object to be used in Functional Data Quality Controlfdqcd
Function to plot depth functional data (DFD) - chartfdqcs.depth fdqcs.depth.default fdqcs.depth.fdqcd
Function to plot rank functional data (RFD) - chartfdqcs.rank fdqcs.rank.fdqcd
It creates a data object to be used in Multivariante Quality Controlmqcd
It computes statistics to be used in Multivariante Quality Controlmqcs print.mqcs summary.mqcs
mqcs.add Add a matrix, data.frame or array object with a mqcs objectmqcs.add mqcs.add.default
Function to plot mcusum chartmqcs.mcusum mqcs.mcusum.default mqcs.mcusum.mqcd
Function to plot mewma chartmqcs.mewma mqcs.mewma.default mqcs.mewma.mqcd
Function to plot t2 Hotelling chartmqcs.t2 mqcs.t2.default mqcs.t2.mqcd
Multivariate process statemstate.control
It creates a data object for Non Parametric Quality Controlnpqcd
Statistical Quality Control Objectnpqcs print.npqcs summary.npqcs
npqcs.add Add a matrix, data.frame or array object with a npqcs objectnpqcs.add npqcs.add.default
Function to plot the Q chartnpqcs.Q npqcs.Q.default npqcs.Q.npqcd
Function to plot the r chartnpqcs.r npqcs.r.default npqcs.r.npqcd
Function to plot the S chartnpqcs.S npqcs.S.default npqcs.S.npqcd
Non parametric process statenpstate.control
Orange juice dataorangejuice
Oxidation Onset Temperatureoxidation
Personal computer manufacturer datapcmanufact
Piston rings datapistonrings
Vickers hardness dataplates
Plot method for 'fdqcd' objectsplot.fdqcd
Plot method for 'fdqcs.depth' objectsplot.fdqcs.depth
Plot method for 'fdqcs.rank' objectsplot.fdqcs.rank
Plot method for 'mqcs' objectsplot.mqcs plot.mqcs.mcusum plot.mqcs.mewma plot.mqcs.t2
Plot method for 'npqcs' objectsplot.npqcs plot.npqcs.Q plot.npqcs.r plot.npqcs.S
Function to create a plotting 'qcs' objectplot.qcs plot.qcs.c plot.qcs.cusum plot.qcs.ewma plot.qcs.np plot.qcs.one plot.qcs.p plot.qcs.R plot.qcs.S plot.qcs.u plot.qcs.xbar
Level of pressure datapresion
Quality Control Dataqcd
Quality Control Reviewqcr
Quality Control Statisticsprint.qcs qcs qcs.atributte qcs.continuous qcs.dependence summary.qcs
qcs.add Add a data.frame object with a qcs objectqcs.add qcs.add.default
Function to plot Shewhart c chartqcs.c qcs.c.default qcs.c.qcd
Capability Analysisqcs.ca
Process capability indices (parametric)qcs.cp
Process capability indices (Nonparametric)qcs.cpn
Function to plot the cusum chartqcs.cusum qcs.cusum.default qcs.cusum.qcd
Function to plot ewma chartqcs.ewma qcs.ewma.default qcs.ewma.qcd
Process capability index (estimate Cpm)qcs.hat.cpm
Function to plot Shewhart np chartqcs.np qcs.np.default qcs.np.qcd
Function to plot the Shewhart xbar.one chartqcs.one qcs.one.default qcs.one.qcd
Function to plot Shewhart p chartqcs.p qcs.p.default qcs.p.qcd
Process capability indices for a given dataset and distributionqcs.pcr
Function to plot Shewhart R chartqcs.R qcs.R.default qcs.R.qcd
Function to plot Shewhart S chartqcs.S qcs.S.default qcs.S.qcd
Function to plot Shewhart u chartqcs.u qcs.u.default qcs.u.qcd
Function to plot the Shewhart xbar chartqcs.xbar qcs.xbar.default qcs.xbar.qcd
Univariante process statestate.control