OCvar {AcceptanceSampling} | R Documentation |
The preferred way of creating new objects from the family
of "OCvar"
classes.
OCvar(n, k, type=c("normal"), ...)
n |
A vector of length 1 giving the sample size. |
k |
A vector of length 1 giving the absolute distance, in units of the standard deviation, between the specification limit (based on the distribution of the items) and the acceptance limit (based on the distribution of the sample mean). See Schilling (1982) page 226 for details. |
type |
The possible types relate to the distribution on
which the plans are based on, namely, |
... |
Additional parameters passed to the class generating function for each type. See Details for options. |
Typical usages are:
OCvar(n, k, s) OCvar(n, k, pd, s) OCvar(n, k, pd, s, s.type)
The two forms use a default type
of "normal". Note that for the
normal distribution the value of the standard deviation must be
given. It is assumed to be the population standard deviation; this can
be changed by letting s.type="unknown"
.
The second form provides a the proportion of defectives, pd
,
for which the OC function should be calculated (default is
pd=seq(0, 1, 0.01)
.
An object from the family of OCvar-class
, namely of class
OCnormal
.
Schilling, E. G. (1982), Acceptance Sampling in Quality Control, Dekker
Guenther, W. C (1977), Sampling Inspection in Statistical Quality Control, Charles Griffin and Co Ltd
## A normal sampling plan - st. dev. known
x <- OCvar(14, 1.205)
x ## print out a brief summary
plot(x) ## plot the OC curve
plot(x, xlim=c(0,0.4)) ## plot the useful part of the OC curve
## Assess whether the plan can meet desired risk points
assess(x, PRP=c(0.05, 0.95), CRP=c(0.2, 0.1))
summary(x, full=TRUE)