gageRRDesign {r6qualitytools} | R Documentation |
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)
[Package
r6qualitytools version 1.0.1
Index]