mkSeeds: Make random seeds for Monte Carlo runs
In dalejbarr/simgen: Monte Carlo Simulations of Simultaneous Generalization
Description
Usage
Arguments
Value
Examples
Description
Creates a vector of unique random seeds for reproducible generation of datasets.
Usage
1
Arguments
nmc
Number of Monte Carlo runs (default 1000)
firstseed
Seed for generating seeds (meta-seed?)
Value
A vector of seeds up to .Machine$integer.max
Examples
1
2
nmc <- 10
pmx <- cbind(randParams(genParamRanges(), nmc, 1001), seed=mkSeeds(nmc, 1001))
dalejbarr/simgen documentation built on May 14, 2019, 3:32 p.m.
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Description Usage Arguments Value Examples
Description
Creates a vector of unique random seeds for reproducible generation of datasets.
Usage
1 |
Arguments
nmc |
Number of Monte Carlo runs (default 1000) |
firstseed |
Seed for generating seeds (meta-seed?) |
Value
A vector of seeds up to .Machine$integer.max
Examples
1 2 | nmc <- 10
pmx <- cbind(randParams(genParamRanges(), nmc, 1001), seed=mkSeeds(nmc, 1001))
|
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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