OC2c-class {AcceptanceSampling} R Documentation

## Class Family "OC2c".

### Description

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.

### Objects from the Class

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.

### Slots

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.

### Methods

plot

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.

show

signature("OC2c") or signature("OChypergeom"): Show the details of the sampling plan.

summary

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.

assess

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

### Author(s)

Andreas Kiermeier

### References

Hald, A. (1981), Statistical theory of sampling inspection by attributes, Academic Press.

### See Also

OC2c

[Package AcceptanceSampling version 1.0-8 Index]