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Last data update: 2014.03.03

R: Operating Characteristics of an Acceptance Sampling Plan

OCvar

R Documentation

Operating Characteristics of an Acceptance Sampling Plan

Description

The preferred way of creating new objects from the family of "OCvar" classes.

Usage

OCvar(n, k, type=c("normal"), ...)

Arguments

`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, `normal`.
`...`	Additional parameters passed to the class generating function for each type. See Details for options.

Details

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).

Value

An object from the family of OCvar-class, namely of class OCnormal.

References

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

Examples

## 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)

Results


R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(AcceptanceSampling)
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/AcceptanceSampling/OCvar.Rd_%03d_medium.png", width=480, height=480)
> ### Name: OCvar
> ### Title: Operating Characteristics of an Acceptance Sampling Plan
> ### Aliases: OCvar plot,OCvar-method plot,OCnormal,missing-method
> ###   plot,numeric,OCnormal-method show,OCvar-method summary,OCvar-method
> ### Keywords: classes
> 
> ### ** Examples
> 
> ## A normal sampling plan - st. dev. known
> x <- OCvar(14, 1.205)
> x ## print out a brief summary
Acceptance Sampling Plan (normal)
Standard deviation assumed to be known

            Sample 1
Sample size   14.000
Constant k     1.205
> 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))
Acceptance Sampling Plan (normal)
Standard deviation assumed to be known

            Sample 1
Sample size   14.000
Constant k     1.205

Plan CAN meet desired risk point(s):

           Quality   RP P(accept) Plan P(accept)
PRP           0.05           0.95     0.95009563
CRP           0.20           0.10     0.08697212
> 
> summary(x, full=TRUE)
Acceptance Sampling Plan (normal)
Standard deviation assumed to be known

            Sample 1
Sample size   14.000
Constant k     1.205

Detailed acceptance probabilities:

 Prop. defective    P(accept)
            0.00 1.000000e+00
            0.01 9.999864e-01
            0.02 9.992527e-01
            0.03 9.942739e-01
            0.04 9.794128e-01
            0.05 9.500956e-01
            0.06 9.046876e-01
            0.07 8.445194e-01
            0.08 7.729506e-01
            0.09 6.942554e-01
            0.10 6.127255e-01
            0.11 5.321004e-01
            0.12 4.552931e-01
            0.13 3.843303e-01
            0.14 3.204244e-01
            0.15 2.641123e-01
            0.16 2.154137e-01
            0.17 1.739841e-01
            0.18 1.392457e-01
            0.19 1.104931e-01
            0.20 8.697212e-02
            0.21 6.793545e-02
            0.22 5.267903e-02
            0.23 4.056338e-02
            0.24 3.102383e-02
            0.25 2.357293e-02
            0.26 1.779771e-02
            0.27 1.335394e-02
            0.28 9.958603e-03
            0.29 7.381913e-03
            0.30 5.439368e-03
            0.31 3.984328e-03
            0.32 2.901336e-03
            0.33 2.100288e-03
            0.34 1.511441e-03
            0.35 1.081239e-03
            0.36 7.688654e-04
            0.37 5.434384e-04
            0.38 3.817586e-04
            0.39 2.665180e-04
            0.40 1.848921e-04
            0.41 1.274421e-04
            0.42 8.726754e-05
            0.43 5.935730e-05
            0.44 4.009658e-05
            0.45 2.689528e-05
            0.46 1.791006e-05
            0.47 1.183806e-05
            0.48 7.764789e-06
            0.49 5.052884e-06
            0.50 3.261347e-06
            0.51 2.087284e-06
            0.52 1.324228e-06
            0.53 8.325313e-07
            0.54 5.184958e-07
            0.55 3.197683e-07
            0.56 1.952081e-07
            0.57 1.179088e-07
            0.58 7.043375e-08
            0.59 4.158968e-08
            0.60 2.426209e-08
            0.61 1.397520e-08
            0.62 7.943361e-09
            0.63 4.452189e-09
            0.64 2.458942e-09
            0.65 1.337159e-09
            0.66 7.153240e-10
            0.67 3.760952e-10
            0.68 1.941425e-10
            0.69 9.828349e-11
            0.70 4.873491e-11
            0.71 2.363765e-11
            0.72 1.119749e-11
            0.73 5.171974e-12
            0.74 2.324918e-12
            0.75 1.014966e-12
            0.76 4.293232e-13
            0.77 1.755263e-13
            0.78 6.916689e-14
            0.79 2.620126e-14
            0.80 9.436896e-15
            0.81 3.219647e-15
            0.82 1.110223e-15
            0.83 3.330669e-16
            0.84 1.110223e-16
            0.85 0.000000e+00
            0.86 0.000000e+00
            0.87 0.000000e+00
            0.88 0.000000e+00
            0.89 0.000000e+00
            0.90 0.000000e+00
            0.91 0.000000e+00
            0.92 0.000000e+00
            0.93 0.000000e+00
            0.94 0.000000e+00
            0.95 0.000000e+00
            0.96 0.000000e+00
            0.97 0.000000e+00
            0.98 0.000000e+00
            0.99 0.000000e+00
            1.00 0.000000e+00
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>