| emprand: Generates random numbers from empirical distribution of data
Version:1.0
05 Jul 2005
(Updated 17 Oct 2007)
File Size: 3 Bytes
File Format: m-file (MATLAB file)
Download from the link here.
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| File Information |
| Description |
EMPRAND generates random numbers from empirical distribution of data.
This is useful when you do not know the distribution type (i.e. normal
or uniform), but you have the data and you want to generate random
numbers form that data.
The idea is to first construct cumulative distribution function (cdf)
from the given data. Then generate uniform random number and
interpolate from cdf.
USAGE:
[xr] = emprand(dist) generates single random number from given vector of data values dist.
[xr] = emprand(dist,m) generates m by m matrix of random numbers.
[xr] = emprand(dist,m,n) generates m by n matrix of random numbers.
Examples:
% Generate 1000 random normal numbers as data for EMPRAND
dist = randn(1000,1);
% Now generate 2000 random numbers from this data
xr = emprand(dist,2000,1); |
| MATLAB release |
MATLAB 7.0.1 (R14SP1) | |
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