Random Sample from Discrete PDF
Generate random samples given a pdf. The x and p(x) are specified in the
arguments. See inverse transform sampling, gaussdis, gammadis.
Examples:
X = pdfrnd(0:.1:20, gammadis(3,2, 0:.1:20), 100000);
figure, hist(X, 100);
%X will be 100000 samples from gamma distribution with a/k = 3, b/Theta =
%2.
X = pdfrnd(-10:.1:10, gaussdis(2, 3, -10:.1:10), 100000);
figure, hist(X, 100);
%X will be 100000 samples from a gaussian distribution with mean 2, var 3.
%Should be roughly equivalent to X = sqrt(3)*randn(100000, 1) + 2;
Cite As
Joshua Stough (2023). Random Sample from Discrete PDF (https://www.mathworks.com/matlabcentral/fileexchange/37698-random-sample-from-discrete-pdf), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Platform Compatibility
Windows macOS LinuxCategories
Tags
Acknowledgements
Inspired by: Random Numbers from a Discrete Distribution
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Discover Live Editor
Create scripts with code, output, and formatted text in a single executable document.
Version | Published | Release Notes | |
---|---|---|---|
1.0.0.0 |