在 SAS 中满足特定条件后删除观察

Question

This is an extension of an earlier question. ( Drop observations once condition is met by multiple variables ).

I have the following data and used one of the existing answered questions to solve my data problem but could not get what I want. Here is what I have in my data

• Amt1 is populated when the Evt_type is Fee
• Amt2 is populated when the Evt_type is REF1/REF2
• I don't want to display any observations after the last Flag='Y'
• If there is no Flag='Y' then I want all the observations for that id (eg id=102)
• I want to display if the next row for that id is a Fee followed by REF1/REF2 after flag='Y' (eg id=101) However I don't want if there is no REF1/REF2 (egid=103)

Have:

   id   Date        Evt_Type   Flag   Amt1   Amt2
  101  2/2/2019      Fee              5
  101  2/3/2019      REF1      Y             5
  101  2/4/2019      Fee              10
  101  2/6/2019      REF2      Y             10
  101  2/7/2019      Fee               4
  101  2/8/2019      REF1
  102  2/2/2019      Fee              25
  102  2/2/2019      REF1      N      25
  103  2/3/2019      Fee              10
  103  2/4/2019      REF1      Y             10
  103  2/5/2019      Fee              10

Want:

  id   Date        Evt_Type   Flag   Amt1   Amt2
 101  2/2/2019      Fee              5
 101  2/3/2019      REF1      Y             5
 101  2/4/2019      Fee              10
 101  2/6/2019      REF2      Y             10
 101  2/7/2019      Fee               4
 101  2/8/2019      REF1
 102  2/2/2019      Fee              25
 102  2/2/2019      REF1      N      25
 103  2/3/2019      Fee              10
 103  2/4/2019      REF1      Y             10

I tried the following

data want;
  _max_n_with_Y = 1e12;

  do _n_ = 1 by 1 until (last.id);
    set have;
    by id;
  if flag='Y' then _max_n_with_Y = _n_;
 end;

  do _n_ = 1 to _n_;
   set have;
   if _n_ <= _max_n_with_Y then OUTPUT;
  end;
 drop _:;
run;

Any help is appreciated.

Thanks

Answer 1

The important 'landmark' is the row with flag='Y'

The extra criteria for outputting rows post-landmark complicate the state machine being coded to track (or compute) the row number ( _n_ ) for last output of the group.

The row='Y' state is easily known. Unconditional use of LAG can be used to examine the post-Y state. SAS IF statements do not have short circuit evaluation, so as long as the LAG is not in a subordinate THEN clause, the LAG stacks will be appropriate for the task.

Example:

data have;
attrib
  id format=4.
  date informat=mmddyy10. format=mmddyy10.
  evt_type length=$4
  flag length=$1
  amt1 amt2 format=4.
;
input
   id   Date        Evt_Type   Flag   Amt1   Amt2; datalines;
  101  2/2/2019      Fee       .      5      .
  101  2/3/2019      REF1      Y      .      5
  101  2/4/2019      Fee       .      10     .
  101  2/6/2019      REF2      Y      .      10
  101  2/7/2019      Fee       .       4     .
  101  2/8/2019      REF1      .      .      .
  102  2/2/2019      Fee       .      25     .
  102  2/2/2019      REF1      N      25     .
  103  2/3/2019      Fee       .      10     .
  103  2/4/2019      REF1      Y      .      10
  103  2/5/2019      Fee       .      10     .
;

data want;
  _y_n = 1e12;

  do _n_ = 1 by 1 until (last.id);
    set have;
    by id;

    if flag='Y' then _y_n = _n_;

    /* rule: post Y output of two rows should only occur once, and at the rows
     * immediately succeeding the Y row
     */
    if _n_ = _y_n + 2            /* is this row 2 after a Y */
      and lag(evt_type) = 'Fee'  /* is first row after Y Fee */
      and evt_type =: 'REF'      /* is second row after Y REF# */
    then 
      _upto_n = _n_;
  end;

  _upto_n = max (_upto_n, _y_n);

  do _n_ = 1 to _n_;
   set have;
   if _n_ <= _upto_n then OUTPUT;
  end;

  drop _:;
run;

Note, regarding:

if _n_ = _y_n + 2            /* is this row 2 after a Y */
  and lag(evt_type) = 'Fee'  /* is first row after Y Fee */
  and evt_type =: 'REF'      /* is second row after Y REF# */
then 
  _upto_n = _n_;

For the row 2 after Y,

  LAG2(<var>) is the <var> value from the Y row
  LAG (<var>) is the <var> value from the Y row+1
       <var>  is the <var> value from the Y row+2, which is the current row