OC2c-class | R Documentation |
The family "OC2c"
("Operating Characteristic"
function) of classes provides methods for creating, plotting, printing
and assessing single, double, and multiple acceptance sampling plans
based on the Binomial ("OCbinomial"
), Hypergeometric
("OChypergeom"
), and Poisson ("OCpoisson"
) distributions.
The "OC2c"
class is a virtual
Class: No objects may be created from it.
However, objects from the derived classes can be created by calls of
the form new("OCbinomial", ...)
, for example, or preferably
using the creator function OC2c
.
n
:Object of class "numeric"
. A vector of
length k giving the sample size at each of the k stages of
sampling, e.g. for double sampling k=2.
c
:Object of class "numeric"
. A vector of
length k giving the cumulative acceptance numbers at each
of the k stages of sampling.
r
:Object of class "numeric"
. A vector of
length k giving the cumulative rejection numbers at each
of the k stages of sampling.
type
:Object of class "character"
. The possible
types relate to the distribution on which the plans are based on,
namely, binomial
, hypergeom
, and poisson
pd
:Object of class "numeric"
. A numeric vector
indicating the quality for which a probability of acceptance is
calculated under the specified sampling plan. Meaning differs for
the different types
.
For "OCbinomial"
this relates to the proportion of
defectives created by the process.
For "OChypergeom"
this relates to the proportion of
population defectives created by the process.
For "OCpoisson"
this relates to the rate of defects (per
item) created by the process.
N
:Object of class "numeric"
. Only for class
"OChypergeom"
, a number giving the population (lot) size from
which the sample is drawn.
paccept
:Object of class "numeric"
. A numeric
vector with the probability of acceptance which correspond to the
quality as given by pd
.
signature(x="OCbinomial", y="missing")
,
signature(x="numeric", y="OCbinomial")
,
signature(x="OChypergeom", y="missing")
,
signature(x="numeric", y="OChypergeom")
,
signature(x="OCpoisson", y="missing")
or
signature(x="numeric", y="OCpoisson")
: Plot the OC curve.
signature("OC2c")
or signature("OChypergeom")
:
Show the details of the sampling plan.
signature("OC2c")
or
signature("OChypergeom")
: Summarise the sampling
plan. Optional argument full
(defaults to FALSE
)
will show the details at all quality values (pd
) supplied
when the object was created.
signature(objqect="OC2c")
: Assess whether the
sampling plan can meet the specified Producer Risk Point
(PRP) and/or Consumer Risk Point (CRP). For details see
assess,OC2c-method
Andreas Kiermeier
Hald, A. (1981), Statistical theory of sampling inspection by attributes, Academic Press.
OC2c
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