ChainBinomial {Dodge} | R Documentation |
Chain Sampling Plans
Description
Chain Sampling Plans for the binomial and Poisson distributions.
Usage
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
require(Dodge)
ChainBinomial(1000, 20,3)
ChainPoisson(1000, 20,3)
[Package Dodge version 0.9-2 Index]