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Last data update: 2014.03.03

R: Operating characteristic

OC	R Documentation

Operating characteristic

Description

Calculation of probability of acceptance of a lot with fraction defective p when using plan (n, k) for sampling inspection

Usage

OC(p, n, k, type = c("exact", "napprox","ewmaSK","ewma2"),lam=1)

Arguments

`p`	fraction defective
`n`	sample size
`k`	critical value
`type`	function used for operating characteristic; `"t"` stands for exact function using non-central t-distribution (see (Johnson and Welch, 1940)), `"napprox"` stands for approximation using normal distribution, (see (Jennett and Welch, 1939)); if EWMA statistic is to be used, `"ewmaSK"` stands for the sigma known case, `"ewma2"` stands for the sigma unknown case
`lam`	smoothing parameter in case that EWMA statistic is used

Value

probability of acceptance of a lot (single number)

References

Jennett, W. J. - Welch, B. L.: The Control of Proportion Defective as Judged by a Single Quality Characteristic Varying on a Continuous Scale, Supplement to the Journal of the Royal Statistical Society, Vol. 6, No. 1, pp. 80-88, 1939.

Johnson, N. L. - Welch, B. L.: Applications of the Non-Central t-Distribution, Biometrika, Vol. 31, No. 3/4, pp. 362-389, 1940.

Examples

OC(p=0.1,n=85,k=2.44)

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)

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> library(LTPDvar)
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/LTPDvar/OC.Rd_%03d_medium.png", width=480, height=480)
> ### Name: OC
> ### Title: Operating characteristic
> ### Aliases: OC
> ### Keywords: misc
> 
> ### ** Examples
> 
> OC(p=0.1,n=85,k=2.44)
[1] 1.208949e-08
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>