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))
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