bootsamp.m 245 B

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  1. function [Y]=bootsamp(X,nboots,varargin)
  2. Nmu=0;
  3. Nsig=0;
  4. n_samp=size(X,1);
  5. utils.overridedefaults(who,varargin);
  6. indx=stats.randInts([nboots 1],1,n_samp);
  7. if Nsig>0
  8. Y=X(indx,:)+randn(nboots,size(X,2))*Nsig+Nmu;
  9. else
  10. Y=X(indx,:);
  11. end