OCvar-class {AcceptanceSampling} | R Documentation |

The family `"OCvar"`

("Operating Characteristic"
function) of classes provides methods for creating, plotting, printing
and assessing single acceptance sampling plans for variables,
based on the Normal (`"OCnormal"`

) distribution.

The `"OCvar"`

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("OCnormal", ...)`

, for example, or preferably
using the creator function `OCvar`

.

`n`

:Object of class

`"numeric"`

. A vector of length 1 giving the sample size.`k`

:Object of class

`"numeric"`

. 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`

:Object of class

`"character"`

. The possible types relate to the distribution on which the plans are based on. Currently the only supported distribution is`normal`

.`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

`"OCnormal"`

this relates to the proportion of defectives created by the process.`s`

:Object of class

`"numeric"`

. A vector of length 1 giving the population/sample standard deviation.`s.type`

:Object of class

`"character"`

. Only for class`"OCnormal"`

, indicates whether the plan is based on the population (`s.type="known"`

) or sample standard deviation (`s.type="known"`

).`paccept`

:Object of class

`"numeric"`

. A numeric vector with the probability of acceptance which correspond to the quality as given by`pd`

.

- plot
`signature(x="OCnormal", y="missing")`

,

`signature(x="numeric", y="OCnormal")`

: Plot the OC curve.

- show
`signature("OCvar")`

: Show the details of the sampling plan.- summary
`signature("OCcar")`

: 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(object="OCvar")`

: Assess whether the sampling plan can meet the specified*Producer Risk Point (PRP)*and/or*Consumer Risk Point (CRP)*. For details see`assess,OCvar-method`

Andreas Kiermeier

Guenther, W. C. (1977) *Sampling Inspection in statistical
quality control*, Charles Griffin and Company Limited

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

Schilling, E. G. (1982), *Acceptance Sampling in Quality
Control*, Dekker

[Package *AcceptanceSampling* version 1.0-8 Index]