Hi All,
I want to generate one random walk sequence, but can't achieve it with the codes below. Anything wrong with the codes? Any saser could help me out? Thanks in advance..
data want;
call streaminit(123);
do i=1 to 1000;
x=rand('normal', 0, 1);
if i=1 then y=x;
else y=lag(y)+x;
output;
end;
run;
You are using LAG() with a conditon which usually is wrong.
You should split it into two different data step.
data x; call streaminit(123); do i=1 to 1000; x=rand('normal', 0, 1); output; end; run; data want; set x; y=lag(x)+x; if i=1 then y=x; run;
Ksharp
Your comment of using lag() conditionally is absolutely appropriate, and I think you are reading OP's mind correctly. However, just in case that OP wants to use lag() on the fly (y=lag(y)), and to avoid conditional lag() as well as 50% obs being missing, we can try:
data want1;
call streaminit(123);
do i=1 to 1000;
x=rand('normal', 0, 1);
y=ifn(i<3,x,lag(y)+x);
/*if i=1 then y=x;*/
/* else y=lag(y)+x;*/
output;
end;
run;
Haikuo
Or RETAIN may be appropriate:
data want;
call streaminit(123);
retain y .;
do i=1 to 1000;
x=rand('normal', 0, 1);
if i=1 then y=x;
else y=y+x;
output;
end;
run;
Yes, 'retain' is better, and it is for sure worth introducing it to OP instead of trying squeezing lag() and making it more complex. Haikuo
I may be wrong here, but it seems to me that the easiest way to fix this is to remove the lag function since it is not needed. Since the overall implicit data loop runs only once, won't the following code generate the desired random walk?
data want;
call streaminit(123);
do i=1 to 1000;
x=rand('normal', 0, 1);
if i=1 then y=x;
else y=y+x;
output;
end;
run;
Are you ready for the spotlight? We're accepting content ideas for SAS Innovate 2025 to be held May 6-9 in Orlando, FL. The call is open until September 25. Read more here about why you should contribute and what is in it for you!
Learn the difference between classical and Bayesian statistical approaches and see a few PROC examples to perform Bayesian analysis in this video.
Find more tutorials on the SAS Users YouTube channel.