Method rnorm

Description

Generates random numbers following a normal distribution. mean and sd can be specified as objects of class FLQuant-class, of the same dimensions, but any of the two could be given as a numeric. In this case the value will be reused accordingly.

Generic function

rnorm(n, mean, sd)

Methods

signature(n=numeric,mean=FLQuant,sd=FLQuant) :

n is the number of iterations of the return object. mean and sd are FLQuant objects and must be of equal size. When both sd and mean are specified the returned object is an FLQuant object with n iterations, filled with randomly generated numbers. When only 1 of mean or sd is supplied the return object is a vector of length n.

signature(n=numeric,mean=numeric,sd=FLQuant) :

same as above, but dimensions will be given by sd, and mean will be reused accordingly.

signature(n=numeric,mean=FLQuant,sd=numeric) :

same as above, but instead dimensions will be given by mean, and sd will be reused accordingly.

signature(n=numeric,mean=FLQuantPoint,sd=missing) :

uses an FLQuantPoint to obtain mean and sd from the mean and var iterations.

Author(s)

The FLR Team

See Also

rnorm, FLQuant-class, FLQuantPoint-class

Examples

   data(ple4)
   rnorm(10,mean=harvest(ple4)[,"2001"], sd=harvest(ple4)[,"2001"])