WNORMRND Random matrices from a Normal distribution. CALL: R = wnormrnd(mu,v,sz); mu = mean (Default 0) v = variance (Default 1) sz = size(R) (Default common size of mu and v) sz can be a comma separated list or a vector giving the size of R (see zeros for options). Examples: R = wnormrnd(1,2,100,2,2); R2 = wnormrnd(1,2,[100,3,2]); wnormplot([R(:,:,1) R2(:,:,2)]) See also wnorminv
Check if all input arguments are either scalar or of common size. | |
Display message and abort function. | |
Not-a-Number. |
Demonstrate the smoothing parameter impact on KDE | |
Random numbers from the Multivariate Kernel Function. | |
Random matrices from a Lognormal distribution. |
001 function R = wnormrnd(mu,v,varargin); 002 %WNORMRND Random matrices from a Normal distribution. 003 % 004 % CALL: R = wnormrnd(mu,v,sz); 005 % 006 % mu = mean (Default 0) 007 % v = variance (Default 1) 008 % sz = size(R) (Default common size of mu and v) 009 % sz can be a comma separated list or a vector 010 % giving the size of R (see zeros for options). 011 % 012 % Examples: 013 % R = wnormrnd(1,2,100,2,2); 014 % R2 = wnormrnd(1,2,[100,3,2]); 015 % wnormplot([R(:,:,1) R2(:,:,2)]) 016 % 017 % See also wnorminv 018 019 % tested on: matlab 5.3 020 % History: 021 % revised pab 23.10.2000 022 % - added default mu,v 023 % - added comnsize, nargchk 024 % - added greater flexibility on the sizing of R 025 % by ?? 026 027 error(nargchk(0,inf,nargin)) 028 if nargin<1|isempty(mu),mu=0;end 029 if nargin<2|isempty(v), v=1;end 030 031 if nargin<3, 032 [errorcode mu v] = comnsize(mu,v); 033 else 034 [errorcode mu v] = comnsize(mu,v,zeros(varargin{:})); 035 end 036 if errorcode > 0 037 error('mu and v must be of common size or scalar.'); 038 end 039 R=zeros(size(mu)); 040 k=find(v>=0); 041 if any(k) 042 R(k)=randn(size(k)).*sqrt(v(k))+mu(k); 043 end 044 k1=find(v<0); 045 if any(k1) 046 tmp=NaN; 047 R(k1)=tmp(ones(size(k1))); 048 end 049
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