proc iml ; n= 100 ; bivariate=j(n, 2 , 0 ); mu={ 2 , 4 }; cov={ 3 1 , 1 5 };

Sep 16, 2014

80 likes | 219 Views

proc iml ; n= 100 ; bivariate=j(n, 2 , 0 ); mu={ 2 , 4 }; cov={ 3 1 , 1 5 }; seed= 0 ; do i= 1 to n; bivariate[i,]=( mu+root(cov)`*normal(j(nrow(cov), 1 ,seed)) )`; end; print bivariate; quit ;. proc iml ; n= 100 ; mu={ 2 , 4 };

doyle

Download Presentation

proc iml ; n= 100 ; bivariate=j(n, 2 , 0 ); mu={ 2 , 4 }; cov={ 3 1 , 1 5 };

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

prociml; n=100; bivariate=j(n,2,0); mu={2 ,4}; cov={31,15}; seed=0; do i=1 to n; bivariate[i,]=( mu+root(cov)`*normal(j(nrow(cov),1,seed)) )`; end; print bivariate; quit;

prociml; n=100; mu={2 ,4}; cov={31,15}; seed=0; /* module */ start bivariate; bivariate= mu+root(cov)`*normal(j(nrow(cov),1,seed)); finish; start replace; bivariate_gen[i,]=bivariate`; finish; bivariate_gen=j(n,2,0); do i=1 to n; run bivariate; run replace; end; print bivariate_gen; quit;