Hi all,
I am struggling to generate a matrix, let's call it "forecast", such that each element forecast[i,j] is drawn from a different Bernoulli distribution with probability corresponding to another matrix element, say bernoulli_p[i,j]. The log displays no errors, but when I print the forecast matrix, it only has blank values.
Here is the relevant part of the code I have been using:
do i=1 to n_farms;
do j=7 to n_months;
if avc[i,j]>0 then stoch_avc[i,j]=(avc[i,j]+u[i,j]);
if avc[i,j]=0 then exit_z[i,j]=.;
exit_z[i,j]=-2.929548+FALL[i,j]*(-0.027052)+Winter[i,j]*0.61746+spring[i,j]*(-0.075117)+
PRICE[i,j-1]*(-0.078526)+PRICE[i,j-2]*(-0.004963)+PRICE[i,j-3]*0.117736+PRICE[i,j-4]*(-0.042244)+PRICE[i,j-5]*0.001874+PRICE[i,j-6]*(-0.069283)+
AVC[i,j-1]*(-0.552019)+AVC[i,j-2]*(-0.017645)+AVC[i,j-3]*0.615848+AVC[i,j-4]*(-0.173533)+AVC[i,j-5]*0.174981+AVC[i,j-6]*0.043233;
if exit_z[i,j]^=. then bernoulli_p[i,j]=cdf('normal',exit_z[i,j]);
if exit_z[i,j]=. then bernoulli_p[i,j]=.;
call randseed(datetime());
forecast=j(n_farms,n_months,.);
call randgen(forecast[i,j],"bernoulli",bernoulli_p[i,j]);
end;
end;
Thanks!
I think there are three problems that I can see with your code.
Putting all of this together the code will look something like this:
do i=1 to n_farms;
do j=1 to n_months;
< code to set each element of the matrix bernoulli_p here >;
end;
end;
call randseed(1729);
forecast=j(n_farms,n_months,.);
call randgen(forecast,'Bernoulli',bernoulli_p);
Can you post the data about matrix forecast[i,j] and bernoulli_p[i,j] ? and the output matrix you want ?
I think there are three problems that I can see with your code.
Putting all of this together the code will look something like this:
do i=1 to n_farms;
do j=1 to n_months;
< code to set each element of the matrix bernoulli_p here >;
end;
end;
call randseed(1729);
forecast=j(n_farms,n_months,.);
call randgen(forecast,'Bernoulli',bernoulli_p);
For more information about Ian's excellent suggestion, see the article "Generate binary outcomes with varying probability."
Registration is open! SAS is returning to Vegas for an AI and analytics experience like no other! Whether you're an executive, manager, end user or SAS partner, SAS Innovate is designed for everyone on your team. Register for just $495 by 12/31/2023.
If you are interested in speaking, there is still time to submit a session idea. More details are posted on the website.
Learn how to run multiple linear regression models with and without interactions, presented by SAS user Alex Chaplin.
Find more tutorials on the SAS Users YouTube channel.