SixSigma (version 0.6.3)

Capability Indices: Capability Indices

Description

Compute the Capability Indices of a process, Z (Sigma Score), $C_p$ and $C_{pk}$.

Usage

ss.ca.cp(x, LSL = NA, USL = NA, LT = FALSE, f.na.rm = TRUE, 
	ci = FALSE, alpha = 0.05)

ss.ca.cpk(x, LSL = NA, USL = NA, LT = FALSE, f.na.rm = TRUE, 
	ci = FALSE, alpha = 0.05)

ss.ca.z(x, LSL = NA, USL = NA, LT = FALSE, f.na.rm = TRUE)

Arguments

x

A vector with the data of the process performance

LSL

Lower Specification Limit

USL

Upper Specification Limit

LT

Long Term data (TRUE/FALSE). Not used for the moment

f.na.rm

Remove NA data (TRUE/FALSE)

ci

If TRUE computes a Confidence Interval

alpha

Type I error ($\alpha$) for the Confidence Interval

Value

• A numeric value for the index, or a vector with the limits of the Confidence Interval

References

Cano, Emilio L., Moguerza, Javier M. and Redchuk, Andres. 2012. Six Sigma with {R}. Statistical Engineering for Process Improvement, Use R!, vol. 36. Springer, New York. http://www.springer.com/statistics/book/978-1-4614-3651-5. Montgomery, DC (2008) Introduction to Statistical Quality Control (Sixth Edition). New York: Wiley&Sons

See Also

ss.study.ca

Examples

ss.ca.cp(ss.data.ca$Volume,740, 760)
ss.ca.cpk(ss.data.ca$Volume,740, 760)
ss.ca.z(ss.data.ca$Volume,740,760)