ss.rr: Gage R & R (Measure System Assessment)

Description

Performs Gage R&R analysis for the assessment of the measure system of a process. Related to the Measure phase of the DMAIC strategy of Six Sigma.

Usage

ss.rr(var, part, appr, 
  data = "stop('Data' is required for lattice graphics)", 
  main = "Six Sigma Gage R&R Study", sub = "")

Arguments

var

Measured variate

part

Factor for parts

appr

Factor for appraisers (operators, machines, ...)

data

Data frame containing the variates

main

Main title for the graphic output

sub

Subtitle for the graphic output (recommended the name of the project)

Value

Analysis of Variance Table. Variance composition and %Study Var. Graphics.
anovaTableThe ANOVA table of the model
varCompA matrix with the contribution of each component to the total variation
studyVarA matrix with the contribution to the study variation
ncatNumber of distinct categories

Details

Performs an R&R study for the measured variable, taking into account part and appraiser factors. It outputs the sources of Variability, and six graphs: bar chart with the sources of Variability, plots by appraiser, part and interaction and x-mean and R control charts.

References

Allen, T. T. (2010). Introduction to Engineering Statistics and Lean Six Sigma - Statistical Quality Control and Design of Experiments and Systems (Second Edition ed.). London: Springer. Cano, Emilio L., Moguerza, Javier M. and Redchuk, Andres. 2012. Six Sigma with {R}. Statistical Engineering for Process Improvement, Use R!, vol. 36. Springer, New York. http://www.springer.com/statistics/book/978-1-4614-3651-5. Montgomery, D. C. (2008). Introduction to Statistical Quality Control (Sixtth Edition ed.). New York: Wiley & Sons, Inc.

Examples

Run this code

data(ss.data.rr)
ss.rr(time1, prototype, operator, data=ss.data.rr, 
	sub="Six Sigma Paper Helicopter Project")

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