This SAS code processes a dataset called `dataframe_sorted` and creates...

September 2, 2025 at 07:24 PM

data first_two; set dataframe_sorted; by Oblgr_Nbr; retain first_val first_date second_val second_date count; format first_date second_date date9.; if first.Oblgr_Nbr then do; count = 1; first_val = Default_Ind_OblgrAbsorb; first_date = bi_dt; second_val= .; second_date = .; end; else if count=1 then do; count = 2; second_val = Default_Ind_OblgrAbsorb; second_date = bi_dt; end; if last.Oblgr_Nbr then output; keep Oblgr_Nbr first_val first_date second_val second_date; run;

This SAS code processes a dataset called dataframe_sorted and creates a new dataset first_two. Here's a step-by-step explanation of what the code does:

  1. Input Dataset:

    • The code operates on the dataset dataframe_sorted, which must be pre-sorted by the variable Oblgr_Nbr.
  2. By-group Processing:

    • The by Oblgr_Nbr; statement enables processing grouped by the variable Oblgr_Nbr.
  3. Retained Variables:

    • The retain statement ensures variables first_val, first_date, second_val, second_date, and count persist their values across iterations of the data step within each Oblgr_Nbr group.
  4. Initialize Variables for Each Group:

    • Inside the if first.Oblgr_Nbr then do; block:
      • The first observation of each Oblgr_Nbr group is identified using first.Oblgr_Nbr, and the variables first_val and first_date are initialized with the values of Default_Ind_OblgrAbsorb and bi_dt, respectively (likely capturing the first observation's key data points).
      • The count variable is set to 1 to indicate we're processing the first observation of the group.
      • The second_val and second_date variables are initialized as missing since it's the beginning of the group and no second observation has been processed yet.
  5. Capture the Second Observation in the Group:

    • If count=1 (indicating we are on the second observation) for a group (not the first one), the values of Default_Ind_OblgrAbsorb and bi_dt are stored in second_val and second_date, respectively.
    • The count variable is updated to 2.
  6. Output the Results:

    • The if last.Oblgr_Nbr then output; ensures that only one record per group (corresponding to the last observation of the group) is written to the output dataset.
    • By this point, the first_val, first_date, second_val, and second_date variables contain the information for the first and second observations of the group (if they exist), while count ensures only the first two are processed across the group.
  7. Keep Only Relevant Variables:

    • The keep statement ensures only Oblgr_Nbr, first_val, first_date, second_val, and second_date are included in the output dataset.

Purpose:

The code extracts the first and second observations (values and dates) from each group defined by Oblgr_Nbr in the dataset dataframe_sorted and stores them in the output dataset first_two. If a group has fewer than two observations, the second_val and second_date variables remain missing.

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