random {distributions3} | R Documentation |
Generic function for drawing random samples from distribution objects.
random(x, n = 1L, drop = TRUE, ...)
## S3 method for class 'distribution'
simulate(object, nsim = 1L, seed = NULL, ...)
x, object |
An object. The package provides methods for distribution
objects such as those from |
n, nsim |
The number of samples to draw. Should be a positive
integer. Defaults to |
drop |
logical. Should the result be simplified to a vector if possible? |
... |
Arguments passed to methods. Unevaluated arguments will generate a warning to catch mispellings or other possible errors. |
seed |
An optional random seed that is to be set using |
random
is a new generic for drawing random samples from
the S3 distribution
objects provided in this package, such as
Normal
or Binomial
etc. The respective
methods typically call the "r" function for the corresponding
distribution functions provided in base R such as rnorm
,
rbinom
etc.
In addition to the new random
generic there is also a
simulate
method for distribution objects which simply
calls the random
method internally.
Random samples drawn from the distriubtion x
.
## distribution object
X <- Normal()
## 10 random samples
random(X, 10)