qualityTools (version 1.53)

gageRRDesign: Gage R&R - Gage Repeatability and Reproducibility

Description

Creates a Gage R&R design.

Usage

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 twi

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 <

randomize

logicalvalue. TRUE (default) randomizes the gageRR design.

Value

• gagRRDeign returns an object of class gageRR.

See Also

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

Examples

#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)