ChainBinomial: Chain Sampling Plans

Description Usage Arguments Value Author(s) References Examples

View source: R/Chain.R

Description

Chain Sampling Plans for the binomial and Poisson distributions.

Usage

1
ChainBinomial(N, n, i, p = seq(0, 0.2, 0.001), Plots = TRUE)

Arguments

N

the lot size

n

the sample size

i

the number of preceding lots that are free from nonconforming units for the lot to be accepted

p

a vector of values for the possible fraction of product that is nonconforming

Plots

logical to request generation of the four plots

Value

A matrix containing the argument p as supplied and the calculated OC, ATI and ???

Author(s)

Raj Govindaraju with minor editing by Jonathan Godfrey

References

Dodge, H.F. (1955) “Chain Sampling Inspection Plan”, Industrial Quality Control 11(4), pp10-13.

Examples

1
2
3
require(Dodge)
ChainBinomial(1000, 20,3)
ChainPoisson(1000, 20,3)

Dodge documentation built on June 5, 2018, 9:04 a.m.