gageRR {r6qualitytools} | R Documentation |
gageRR: Gage R&R - Gage Repeatability and Reproducibility
Description
Performs a Gage R&R analysis for an object of class gageRR.c
.
Usage
gageRR(
gdo,
method = "crossed",
sigma = 6,
alpha = 0.25,
tolerance = NULL,
dig = 3,
print = TRUE
)
Arguments
gdo |
Needs to be an object of class |
method |
Character string specifying the Gage R&R method. |
sigma |
Numeric value giving the number of sigmas.
For |
alpha |
Alpha value for discarding the interaction Operator:Part and fitting a non-interaction model. By default |
tolerance |
Mumeric value giving the tolerance for the measured parts. This is required to calculate the Process to Tolerance Ratio.
By default |
dig |
numeric value giving the number of significant digits for |
print |
Print the summary of the perform of the Gage. |
Value
The function gageRR
returns an object of class gageRR.c
and shows typical Gage Repeatability and Reproducibility Output including Process to Tolerance Ratios and the number of distinctive categories (i.e. ndc) the measurement system is able to discriminate with the tested setting.
See Also
gageRR.c
, gageRRDesign
, gageLin
, cg
.
Examples
# Create de gageRR Design
design <- gageRRDesign(Operators = 3, Parts = 10, Measurements = 3,
method = "crossed", sigma = 6, randomize = TRUE)
design$response(rnorm(nrow(design$X), mean = 10, sd = 2))
# Results of de Design
result <- gageRR(gdo = design, method = "crossed", sigma = 6, alpha = 0.25)
class(result)
result$plot()