WHAT IS LAG FUNCTION ? WHERE CAN YOU IMPLEMENT THIS
FUNCTION?
Answers were Sorted based on User's Feedback
Answer / zyin2
Lag() function returns the value of the first previous
observation in a time series. It could be used in Auto
Regression analysis for time series.
For example, Let y be the cloumn name for the original time
series, the analysis for AR(2) could be:
data test;
set test;
m = lag(y);
n = lag(m);
run;
proc reg data = test;
model y = m n;
run;
| Is This Answer Correct ? | 10 Yes | 1 No |
Answer / sai
Lag function can be used if you want to perform
computations across the observations.
| Is This Answer Correct ? | 0 Yes | 0 No |
I need help in merging two different datasets. I am merging by date and I want to propagate observations from one dataset to the corresponding dates. One dataset has a unique date for each day of the month, while the other dataset has same date for different patient visits. For example I want to spread an observation on the 31DEC2008 from one dataset to several observations with the same date on a second dataset for all the patients who visited on that date. I have tried to merge the two and the result is not what I wanted. Instead I get a dataset whereby all the dates have missing values where observations from the first datset should have spread.
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