| qcs.cp | R Documentation | 
Calculates Cp, Cpm using the formulation described by Kerstin Vannman(1995).
qcs.cp(
  object,
  parameters = c(u = 0, v = 0),
  limits = c(lsl = -3, usl = 3),
  target = NULL,
  mu = 0,
  std.dev = 1,
  nsigmas = 3,
  k = 1,
  contour = TRUE,
  ylim = NULL,
  ...
)
object | 
 qcs object of type   | 
parameters | 
 A vector specifying the   | 
limits | 
 A vector specifying the lower and upper specification limits.  | 
target | 
 A value specifying the target of the process. 
If it is   | 
mu | 
 A value specifying the mean of data.  | 
std.dev | 
 A value specifying the within-group standard deviation.  | 
nsigmas | 
 A numeric value specifying the number of sigmas to use.  | 
k | 
 A numeric value. If the capacity index exceeds the   | 
contour | 
 Logical value indicating whether contour graph should be plotted.  | 
ylim | 
 The 'y' limits of the plot.  | 
... | 
 Arguments to be passed to or from methods.  | 
Montgomery, D.C. (1991) Introduction to Statistical Quality Control, 2nd
ed, New York, John Wiley & Sons. 
Vannman, K (1995) A Unified Approach to Capability Indices. Statitica Sinica,5,805-820.
library(qcr)
data(pistonrings) 
xbar <- qcs.xbar(pistonrings[1:125,],plot = TRUE)
mu <-xbar$center
std.dev <-xbar$std.dev
LSL=73.99; USL=74.01
qcs.cp(parameters = c(0,0),limits = c(LSL,USL),
      mu = mu,std.dev = std.dev,ylim=c(0,1))
#calculating all the indices
qcs.cp(object = xbar,parameters = c(0,0), limits = c(LSL,USL),ylim=c(0,1))
qcs.cp(object = xbar,parameters = c(1,0), limits = c(LSL,USL),ylim=c(0,1))
qcs.cp(object = xbar,parameters = c(0,1), limits = c(LSL,USL),ylim=c(0,1))
qcs.cp(object = xbar,parameters = c(1,1), limits = c(LSL,USL),ylim=c(0,1))
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.