9
Probability and Random Numbers
Facilities are provided in both packages to work with random numbers following various probability distributions, and to calculate probability densities and cumulative probabilities. In MATLAB, some of the more advanced or powerful functions are part of the Statistics Toolbox, although the core MATLAB does provide the essentials.
Both platforms currently use the Mersenne Twister [20] as the default random number generator, but include other generators as well.
9.1 Basic random values, permutations, and samples
1. Generate a continuous uniform random value between 0 and 1.
R |
MATLAB |
runif(1) |
rand |
Neither function above will generate either of the extreme values 0 or 1, i.e., they both generate ...
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