| find.plan {AcceptanceSampling} | R Documentation |
Find the sampling plan with smallest sample size (single sample only) such that specified Producer Risk Point (PRP) and Consumer Risk Point (CRP) are both met.
PRP |
The Producer Risk Point in the form of a two element
numeric vector of the form c(pd, pa). The first element,
pd, specifies the quality level at which to evaluate the
plan. The second element, pa, indicates the minimum
probability of acceptance to be achieved by the plan. |
CRP |
The Consumer Risk Point in the form of a two element
numeric vector of the form c(pd, pa). The first element,
pd, specifies the quality level at which to evaluate the
plan. The second element, pa, indicates the maximum
probability of acceptance to be achieved by the plan. |
type |
The distribution which the sampling plan is based
on. Possible values are binomial, hypergeom,
poisson and normal. |
N |
The size of the population from which samples are drawn. Only
applicable for type="hypergeom". |
s.type |
The type of the standard deviation. A value of
known results in a sampling plan based on the population
standard deviation, while a value of unknown results in the
use of the sample standard deviation. |
find.plan(PRP, CRP, type="binomial")
find.plan(PRP, CRP, type="hypergeom", N)
find.plan(PRP, CRP, type="normal", s.type="unknown")
Andreas Kiermeier