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### Highlights from Generate Random Numbers from a 2D Discrete Distribution

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# Generate Random Numbers from a 2D Discrete Distribution

### Tristan Ursell (view profile)

21 Mar 2012 (Updated )

Random numbers from any 2D discrete probability distribution, at any resolution.

File Information
Description

Tristan Ursell
2D Random Number Generator for a Given Discrete Distribution
March 2012
[x0,y0]=pinky(Xin,Yin,dist_in,varargin);
'Xin' is a vector specifying the equally spaced values along the x-axis.
'Yin' is a vector specifying the equally spaced values along the y-axis.
'dist_in' (dist_in > 0) is a matrix with dimensions length(Yin) x length(Xin), whose values specify a 2D discrete probability distribution. The distribution does not need to be normalized.

'res' (res > 1) is a multiplicative increase in the resolution of chosen random number, using cubic spline interpolation of the values in 'dist_in'. Using the 'res' option can significantly slow down the code, due to the computational costs of interpolation, but allows one to generate more continuous values from the distribution.

[x0,y0] is the output doublet of random numbers consistent with dist_in.

The 'gendist' function required by this script, is included in this m-file.

Example with an anisotropic Gaussian at native resolution:

Xin=-10:0.1:10;
Yin=-5:0.1:5;

Xmat = ones(length(Yin),1)*Xin;
Ymat = Yin'*ones(1,length(Xin));

D1=1;
D2=3;
Dist=exp(-Ymat.^2/(2*D1^2)-Xmat.^2/(2*D2^2));

N=10000;

vals=zeros(2,N);
for i=1:N
[vals(1,i),vals(2,i)]=pinky(Xin,Yin,Dist);
end

figure;
hold on
imagesc(Xin,Yin,Dist)
colormap(gray)
plot(vals(1,:),vals(2,:),'r.')
xlabel('Xin')
ylabel('Yin')
axis equal tight
box on

Example with multiple peaks at 10X resolution:

Xin=-10:0.1:10;
Yin=-5:0.1:5;

Xmat = ones(length(Yin),1)*Xin;
Ymat = Yin'*ones(1,length(Xin));

D1=0.5;
D2=1;
Dist=exp(-(Ymat-3).^2/(4*D2^2)-(Xmat+6).^2/(2*D1^2))+exp(-(Ymat+2).^2/(2*D1^2)-(Xmat+1).^2/(2*D2^2))+exp(-(Ymat-1).^2/(2*D1^2)-(Xmat-2).^2/(2*D2^2));

N=10000;
res=10;
vals=zeros(2,N);
for i=1:N
[vals(1,i),vals(2,i)]=pinky(Xin,Yin,Dist,res);
end

figure;
hold on
imagesc(Xin,Yin,Dist)
colormap(gray)
plot(vals(1,:),vals(2,:),'r.')
xlabel('Xin')
ylabel('Yin')
axis equal tight
box on

Required Products MATLAB
MATLAB release MATLAB 8.3 (R2014a)
MATLAB Search Path
`/`
29 Apr 2016 Alexander Kharlan

### Alexander Kharlan (view profile)

Good function indeed, only I have got an issue calling this one thousands of times in a FOR loop. Really slows stuff down. I am struggling to get it to generate multiple x-y couples from one distribution with a single function call - as, for example, randsample does. But I'm not having much success just yet. Does anyone have a clue on how do I generate loads of random numbers at once?

09 Jan 2015 Steven White

### Steven White (view profile)

Very useful - thanks!

17 Oct 2014 Tristan Ursell

### Tristan Ursell (view profile)

Good catch -- I just put a check in the code to make sure the interpolated values are always positive.

Comment only
01 Oct 2014 M S

### M S (view profile)

Excellent code, and amazingly, the only FEX submission for random sampling from 2D distributions.

I did run into a little bug. When using interpolation (res>1), I occasionally get "Error: All elements of first argument, P, must be positive." thrown by gendist(). This looks like it comes from interpolation giving negative numbers. The only hint at the culprit is that the joint PDFs I'm sending to your function have very very small numbers, (e.g., 1.4822e-323). When more reasonable numbers are used, the interpolation is fine.

26 Apr 2012 Filip TrĂ¶nnberg

### Filip TrĂ¶nnberg (view profile)

Wonderful function!!

17 Oct 2014 1.1

fixed negative values due to interpolation

17 Oct 2014 1.2

bug fix

10 Feb 2016 1.3

na