CurtBinomial: Curtailed Average Sample Number
In Dodge: Acceptance Sampling Ideas Originated by H.F. Dodge
Description
Usage
Arguments
Author(s)
Examples
Description
Computes the average sample number for a curtailed inspection plan for
single sampling plans. Functionality is currently available for only the
binomial distribution.
Usage
1
CurtBinomial(n, Ac, p = seq(0, 0.5, 0.01), Plots = TRUE)
Arguments
n
the sample size (potential)
Ac
the acceptance number
p
a vector of values for the possible fraction of product that is
nonconforming
Plots
logical to request generation of the four plots
Author(s)
Raj Govindaraju with minor editing by Jonathan Godfrey
Examples
1
CurtBinomial(20,1)
Dodge documentation built on May 2, 2019, 9:42 a.m.
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Description Usage Arguments Author(s) Examples
Description
Computes the average sample number for a curtailed inspection plan for single sampling plans. Functionality is currently available for only the binomial distribution.
Usage
1 | CurtBinomial(n, Ac, p = seq(0, 0.5, 0.01), Plots = TRUE)
|
Arguments
n |
the sample size (potential) |
Ac |
the acceptance number |
p |
a vector of values for the possible fraction of product that is nonconforming |
Plots |
logical to request generation of the four plots |
Author(s)
Raj Govindaraju with minor editing by Jonathan Godfrey
Examples
1 | CurtBinomial(20,1)
|
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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