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MSQC (version 1.1.0)

Multivariate Statistical Quality Control

Description

This is a toolkit for multivariate process monitoring. It computes several multivariate control charts e.g. Hotelling, Chi-squared, MEWMA, MCUSUM and Generalized Variance. Ten didactic datasets are included. It also contains some tools for assessing multivariate normality e.g. Mardia's, Royston's and Henze-Zirkler's tests. Please, see the NEWS file for the latest changes in the package.

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Version

Install

install.packages('MSQC')

Monthly Downloads

70

Version

1.1.0

License

GPL-2 | GPL-3

Maintainer

Edgar SantosFernandez

Last Published

May 1st, 2022

Functions in MSQC (1.1.0)

Henze-Zirkler test

Bimetal dataset during the Phase I

D'Agostino test

confidence ellipsoid

Generalized Variance Control Chart

Bimetal dataset during the Phase II

Multivariate Statistical Quality Control

Carbon fiber tubing during the Phase I

Target archery dataset during the elimination stage (used as Phase II)

Dataset of a glass manufacturing process during the Phase I

Dowel pin dataset for the Phase II

Dowel pin dataset for the Phase I

Multivariate Control Chart

Draws a rectangular prism

Sample covariance

Largest ellipsoid

Carbon fiber tubing during the Phase II

Right skewed dataset

Coordinates of the pitches called "strike" by umpire Ron Kulpa

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

Industrial dataset collected in Phase II

Industrial dataset collected during the Phase I

A mechanical process (Phase I)

Dataset of a glass manufacturing process during the Phase II

Individual observations from the MLB pitcher C.C. Sabathia from the game on July 10, 2011.

A water quality test (Phase II)

A pitching log of C.C. Sabathia on July 10, 2011.

A mechanical process (Phase II)

A water quality test (Phase I)

A pitching log of C.C. Sabathia on August 12, 2011