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."
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