ss.study.ca {SixSigma}

Graphs and figures for a Capability Study

Description

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.

Usage

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")
)

Arguments

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

Value

Figures and plot for Capability Analysis

Note

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.

Author(s)

Main author: Emilio L. Cano. Contributions by Manu Alfaro.

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. 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

See Also

ss.ca.cp

Examples

 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"))