Learn R Programming

qcr: Quality Control Review

Version 1.3

This package implements univariate and multivariate Statistical Quality Control (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.

This package also 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.

References

Flores, M., Fernández-Casal, R., Naya, S.., and Tarrío-Saavedra, J. (2021). Statistical Quality Control with the qcr Package. The R Journal, 13, 194-217, DOI.

Flores, M., Naya, S., Fernández-Casal, R., Zaragoza, S., Raña, P., and Tarrío-Saavedra, J. (2020). Constructing a control chart using functional data. Mathematics, 8, 58, DOI.

Copy Link

Version

Install

install.packages('qcr')

Monthly Downloads

286

Version

1.4

License

GPL (>= 2)

Issues

Pull Requests

Stars

Forks

Repository

https://github.com/mflores72000/qcr

Maintainer

Miguel Flores

Last Published

March 2nd, 2022

Functions in qcr (1.4)

Circuit boards data

Function to plot Shewhart c chart

Function to plot the r chart

Level of employment data

Function to plot mcusum chart

npstate.control

non parametric process state

It creates a data object to be used in Functional Data Quality Control

mqcs.add Add a matrix, data.frame or array object with a mqcs object

qcs.add Add a data.frame object with a qcs object

Process capability indices (Nonparametric)

Statistical Quality Control Object

Quality Control Statistics

Function to plot Shewhart xbar chart

Function to plot Shewhart S chart

Process capability indices for a given dataset and distribution

Process capability indices (parametric)

Orange juice data

Univariante process state

Capability Analysis

Multivariate process state

Oxidation Onset Temperature

It creates a data object for Non Parametric Quality Control

Function to plot mewma chart

Dowel pin dataset

Function to plot t2 Hotelling chart

Personal computer manufacturer data

Function to plot the S chart

Plot method for 'npqcs' objects

plot.fdqcs.depth

Plot method for 'fdqcs.depth' objects

Plot method for 'mqcs' objects

Function to plot the cusum chart

Piston rings data

function to create a plotting 'qcs' object

Process capability index (estimate cpm)

Function to plot ewma chart

npqcs.add Add a matrix, data.frame or array object with a npqcs object

Level of presion data

Quality Control Data

Quality Control Review

Function to plot Shewhart R chart

Function to plot the Shewhart xbar.one chart

Function to plot Shewhart np chart

Function to plot Shewhart u chart

Function to plot the Shewhart xbar chart

It creates a data object to be used in Multivariante Quality Control

Function to plot depth functional data (DFD) - chart

It computes statistics to be used in Multivariante Quality Control

Function to plot rank functional data (DFD) - chart

Target archery dataset in the ranking round (used as Phase I)

The performance of the counters data

Vickers hardness data

Function to plot the Q chart

Plot method for 'fdqcd' objects