Function reference • qcr

Quality Control Review

qcr: Quality Control Review

Control Charts

Independence univariate parametric

These functions are used to compute the quality control statistics for the different univariate control charts for variables and attributes. The control charts consider are: Xbar chart, R chart, S chart, I chart, p chart, np chart, c chart, u chart, CUSUM chart, EWMA chart.

qcd(): Quality Control Data

qcs() qcs.continuous() qcs.atributte() qcs.dependence(): Quality Control Statistics

qcs.xbar(): Function to plot the Shewhart xbar chart

qcs.R(): Function to plot Shewhart R chart

qcs.S(): Function to plot Shewhart S chart

qcs.one(): Function to plot the Shewhart xbar.one chart

qcs.p(): Function to plot Shewhart p chart

qcs.np(): Function to plot Shewhart np chart

qcs.c(): Function to plot Shewhart c chart

qcs.u(): Function to plot Shewhart u chart

qcs.cusum(): Function to plot the cusum chart

qcs.ewma(): Function to plot ewma chart

plot(<qcs>) plot(<qcs.xbar>) plot(<qcs.S>) plot(<qcs.R>) plot(<qcs.one>) plot(<qcs.p>) plot(<qcs.np>) plot(<qcs.c>) plot(<qcs.u>) plot(<qcs.ewma>) plot(<qcs.cusum>): Function to create a plotting 'qcs' object

Independence non parametric

These functions are used to compute the quality control statistics for nonparametric control charts based on data depth. The control charts consider are: Q chart, r chart, S chart.

npqcd(): It creates a data object for Non Parametric Quality Control

npqcs(): Statistical Quality Control Object

npqcs.Q(): Function to plot the Q chart

npqcs.r(): Function to plot the r chart

npqcs.S(): Function to plot the S chart

plot(<npqcs>) plot(<npqcs.r>) plot(<npqcs.Q>) plot(<npqcs.S>): Plot method for 'npqcs' objects

Independence multivariate parametric

These functions are used to compute the quality control statistics for the different multivariate control charts. The control charts consider are: MCUSUM chart, MEWMA chart, Hotelling T^2 chart.

mqcd(): It creates a data object to be used in Multivariante Quality Control

mqcs(): It computes statistics to be used in Multivariante Quality Control

mqcs.mcusum(): Function to plot mcusum chart

mqcs.mewma(): Function to plot mewma chart

mqcs.t2(): Function to plot t2 Hotelling chart

plot(<mqcs>) plot(<mqcs.t2>) plot(<mqcs.mcusum>) plot(<mqcs.mewma>): Plot method for 'mqcs' objects

Independence functional parametric

These functions are used to compute the quality control statistics for the Phase I and Phase II control charts.

fdqcd(): It creates a data object to be used in Functional Data Quality Control

fdqcs.depth(): Function to plot depth functional data (DFD) - chart

fdqcs.rank(): Function to plot rank functional data (RFD) - chart

plot(<fdqcd>): Plot method for 'fdqcd' objects

plot(<fdqcs.depth>): Plot method for 'fdqcs.depth' objects

plot(<fdqcs.rank>): Plot method for 'fdqcs.rank' objects

Process Capability Analysis

These functions are used to perform process capability analysis and capability indices.

qcs.cp(): Process capability indices (parametric)

qcs.pcr(): Process capability indices for a given dataset and distribution

qcs.hat.cpm(): Process capability index (estimate Cpm)

qcs.cpn(): Process capability indices (Nonparametric)

qcs.ca(): Capability Analysis

mstate.control(): Multivariate process state

npstate.control(): Non parametric process state

state.control(): Univariante process state

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

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

qcs.add(): qcs.add Add a data.frame object with a qcs object

Datasets

Databases used in the package

archery1: Target archery dataset in the ranking round (used as Phase I)

circuit: Circuit boards data

counters: The performance of the counters data

dowel1: Dowel pin dataset

employment: Level of employment data

orangejuice: Orange juice data

oxidation: Oxidation Onset Temperature

pcmanufact: Personal computer manufacturer data

pistonrings: Piston rings data

plates: Vickers hardness data

presion: Level of pressure data