gageRRDesign: gageRRDesign: Gage R&R - Gage Repeatability and...

In r6qualitytools: R6-Based Statistical Methods for Quality Science

gageRRDesign: Gage R&R - Gage Repeatability and Reproducibility

Description

Function to 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 Measurements is set to '3'.
method	Character string specifying the Gage R&R 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	Logical value. TRUE (default) randomizes the gageRR design.

Value

The function gageRRDesign returns an object of class gageRR.

See Also

gageRR.c, gageRR.

Examples

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

r6qualitytools documentation built on Oct. 4, 2024, 1:09 a.m.