Gage R&R - Gage Repeatability and Reproducibility

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Description

Creates a Gage R&R design.

Usage

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gageRRDesign(Operators = 3, Parts = 10, Measurements = 3, method = "crossed",
             sigma = 6, randomize = TRUE)

Arguments

Operators

numeric value giving a number or a character vector defining the Operators.
By default Operators is set to ‘3’.

Parts

a number or character vector defining the Parts.
By default parts is set to ‘10’.

Measurements

a number defining the measurements per part. By default Measurments is set to ‘3’.

method

“crossed” which is the typical design for performing a Measurement Systems Analysis using Gage Repeatability and Reproducibility or “nested” which is used for destructive testing (i.e. the same part cannot be measured twice). Operators measure each a different sample of parts under the premise that the parts of each batch are alike.
By default method is set to “crossed”.

sigma

For sigma=6 this relates to 99.73 percent representing the full spread of a normal distribution function (i.e. pnorm(3) - pnorm(-3)).
Another popular setting sigma=5.15 relates to 99 percent (i.e. pnorm(2.575) - pnorm(-2.575)). By default sigma is set to ‘6’.

randomize

logicalvalue. ‘TRUE’ (default) randomizes the gageRR design.

Value

gagRRDeign returns an object of class gageRR.

Note

For an example in context which shows the usage of the function gageRRDesign() please read the vignette for the package qualityTools at http://www.r-qualitytools.org/html/Measure.html.

Author(s)

Thomas Roth thomas.roth@tu-berlin.de

See Also

gageRR
http://www.r-qualitytools.org/html/Measure.html

Examples

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#create a Gage R&R Design
temp = gageRRDesign(3,10, 2, randomize = FALSE)

#set the response i.e. Measurements
y = c(23,22,22,22,22,25,23,22,23,22,20,22,22,22,24,25,27,28,23,24,23,24,24,22,
      22,22,24,23,22,24,20,20,25,24,22,24,21,20,21,22,21,22,21,21,24,27,25,27,
      23,22,25,23,23,22,22,23,25,21,24,23)
response(temp) = y

#perform a Gage R&R
gdo = gageRR(temp)

#summary
summary(gdo)

#standard graphics for Gage R&R
plot(gdo)

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