Last data update: 2014.03.03
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R: Simulate values from a Probability Distribution
simulate.normal | R Documentation |
Simulate values from a Probability Distribution
Description
Simulate independent values from a given probability distribution.
Usage
## S3 method for class 'normal'
simulate(object, nsim = 1, ...)
## S3 method for class 'binomialdistribution'
simulate(object, nsim = 1, ...)
## S3 method for class 'discretedistribution'
simulate(object, nsim = 1, ...)
## S3 method for class 'expgamma'
simulate(object, nsim = 1, ...)
## S3 method for class 'fdistribution'
simulate(object, nsim = 1, ...)
## S3 method for class 'gammadistribution'
simulate(object, nsim = 1, ...)
## S3 method for class 'mnormalexpgamma'
simulate(object, nsim = 1, ...)
## S3 method for class 'mnormalgamma'
simulate(object, nsim = 1, ...)
## S3 method for class 'mnormal'
simulate(object, nsim = 1, ...)
## S3 method for class 'mtdistribution'
simulate(object, nsim = 1, ...)
## S3 method for class 'normalexpgamma'
simulate(object, nsim = 1, ...)
## S3 method for class 'normalgamma'
simulate(object, nsim = 1, ...)
## S3 method for class 'poissondistribution'
simulate(object, nsim = 1, ...)
## S3 method for class 'tdistribution'
simulate(object, nsim = 1, ...)
## S3 method for class 'uniformdistribution'
simulate(object, nsim = 1, ...)
Arguments
object |
The probability distribution to be simulated from.
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nsim |
The number of simulated values. Default is 1.
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... |
Additional parameters. Currently not in use.
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Value
For univariate distributions, a vector of length nsim is produced.
For multivariate distributions, a matrix with nsim rows is
produced.
Author(s)
Petter Mostad <mostad@chalmers.se>
Examples
simulate(normal())
simulate(normal(), 10)
simulate(mnormal(), 10)
Results
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