ss.study.ca | R Documentation |
Plots a Histogram with density lines about the data of a process. Check normality with qqplot and normality tests. Shows the Specification Limits and the Capability Indices.
ss.study.ca(
xST,
xLT = NA,
LSL = NA,
USL = NA,
Target = NA,
alpha = 0.05,
f.na.rm = TRUE,
f.main = "Six Sigma Capability Analysis Study",
f.sub = "",
f.colours = c("#4682B4", "#d1d1e0", "#000000", "#A2CD5A", "#D1EEEE", "#FFFFFF",
"#000000", "#000000")
)
xST |
Short Term process performance data |
xLT |
Long Term process performance data |
LSL |
Lower Specification Limit of the process |
USL |
Upper Specification Limit of the process |
Target |
Target of the process |
alpha |
Type I error for the Confidence Interval |
f.na.rm |
If TRUE NA data will be removed |
f.main |
Main Title for the graphic output |
f.sub |
Subtitle for the graphic output |
f.colours |
Vector of colours fot the graphic output |
Figures and plot for Capability Analysis
The argument f.colours
takes a vector of colours for the graphical outputs. The order of
the elements are, first the colour for histogram bars, then Density ST lines, Density LT
lines, Target, and Specification limits. It can be partially specified.
Main author: Emilio L. Cano. Contributions by Manu Alfaro.
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.ca.cp
ss.study.ca(ss.data.ca$Volume, rnorm(40, 753, 3),
LSL = 740, USL = 760, T = 750, alpha = 0.05,
f.sub = "Winery Project")
ss.study.ca(ss.data.ca$Volume, rnorm(40, 753, 3),
LSL = 740, USL = 760, T = 750, alpha = 0.05,
f.sub = "Winery Project",
f.colours = c("#990000", "#007700", "#002299"))
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