ChainBinomial: Chain Sampling Plans
In Dodge: Acceptance Sampling Ideas Originated by H.F. Dodge
Description
Usage
Arguments
Value
Author(s)
References
Examples
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 May 2, 2019, 9:42 a.m.
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Description Usage Arguments Value Author(s) References Examples
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)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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