ss.ca.z | R Documentation |
Compute the Capability Indices of a process, Z (Sigma Score), C_p
and C_{pk}
.
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)
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 ( |
A numeric value for the index, or a vector with the limits of the Confidence Interval
EL Cano
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. https://link.springer.com/book/10.1007/978-1-4614-3652-2.
Montgomery, DC (2008) Introduction to Statistical Quality Control
(Sixth Edition). New York: Wiley&Sons
ss.study.ca
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)
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