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您好我真的很想根据以下示例数据创建动态表，根据 PAYEE_ID 创建 4 个新数据集：522,622,743 和 888。我希望所有字段都在新的 4 个数据集中，但只有每种类型 PAYEE_ID 的 4 个表中的前 3 个 AMT_BILLED

PAYEE_ID    PAYEENAME   MSG_CODE    MSG_DESCRIPTION AMT_BILLED  percentbilled   claimscounts    PercentLines    TotalAmount TotNumofClaims
522 MakeBelieve Center 1    AA  text field 1    10000   4%  50  16% 275000  305
522 MakeBelieve Center 1    BB  text field 2    20000   7%  40  13% 275000  305
522 MakeBelieve Center 1    6N  text field 3    30000   11% 30  10% 275000  305
522 MakeBelieve Center 1    5U  text field 4    25000   9%  20  7%  275000  305
522 MakeBelieve Center 1    1F  text field 5    90000   33% 100 33% 275000  305
522 MakeBelieve Center 1    2E  text field 6    100000  36% 65  21% 275000  305
622 Invisible Center 2  A4  text field 1    600 2%  9   7%  34300   134
622 Invisible Center 2  D2  text field 2    700 2%  31  23% 34300   134
622 Invisible Center 2  D4  text field 3    8000    23% 11  8%  34300   134
622 Invisible Center 2  DS  text field 4    10000   29% 62  46% 34300   134
622 Invisible Center 2  F8  text field 5    15000   44% 21  16% 34300   134
743 Pretend Center 1    1K  text field 1    440 1%  2   1%  41040   246
743 Pretend Center 1    1N  text field 2    3000    7%  7   3%  41040   246
743 Pretend Center 1    1V  text field 3    400 1%  4   2%  41040   246
743 Pretend Center 1    2W  text field 4    15000   37% 63  26% 41040   246
743 Pretend Center 1    3B  text field 5    500 1%  2   1%  41040   246
743 Pretend Center 1    3H  text field 6    7700    19% 41  17% 41040   246
743 Pretend Center 1    3Z  text field 7    14000   34% 127 52% 41040   246
888 It's A MakeBelieve One  B7  text field 1    68000   38% 257 29% 178449  886
888 It's A MakeBelieve One  B8  text field 2    5000    3%  47  5%  178449  886
888 It's A MakeBelieve One  B9  text field 3    200 0%  138 16% 178449  886
888 It's A MakeBelieve One  BB  text field 4    1562    1%  18  2%  178449  886
888 It's A MakeBelieve One  BO  text field 5    39999   22% 3   0%  178449  886
888 It's A MakeBelieve One  BZ  text field 6    40000   22% 2   0%  178449  886
888 It's A MakeBelieve One  C2  text field 7    500 0%  5   1%  178449  886
888 It's A MakeBelieve One  C5  text field 8    7865    4%  395 45% 178449  886
888 It's A MakeBelieve One  C7  text field 9    8649    5%  14  2%  178449  886
888 It's A MakeBelieve One  CR  text field 10   5674    3%  1   0%  178449  886
888 It's A MakeBelieve One  CX  text field 11   1000    1%  6   1%  178449  886

至

我是 SAS 新手，这对我很有帮助。太感谢了！

4

1 回答 1

0 
proc sort data=sampleData out=sampleData_s;
    by payee_id amt_billed;
run;

如果“顶部”表示最大，则可以使用降序，例如by payee_id descending amt_billed;

对数据进行排序后，您就可以读入数据步骤并使用first，last例如

data partial_solution(drop=count);
    retain count 0;
    set sampleData_s;
    by payee_id descending amt_billed;
    if first.payee_id then count=0;
    count+1;
    if count le 3 then output;
run;

要输出到不同的数据集名称：

proc sort data=sampleData(keep=payee_id) out=all_payee_ids nodupkey;
    by payee_id;
run;

data _null_;
    length id_list $10000;   * needs to be long enough to contain all ids;
                             * if you do not state this, sas will default; 
                             * length to first value;
    retain id_list;
    set all_payee_ids end=eof;
    id_list = catx('|', id_list, payee_id);
    if eof then call symputx('macroVarIdList', id_list);
run;

你现在有一个管道分隔的所有 id 列表。您可以循环使用它们来为您的数据集创建名称。您需要这样做，因为 SAS 需要知道要预先输出的数据集的名称，例如

data ds1 ds2 ds3 ds4;
    set some_guff;
    if blah then output ds1;
    else if blahblah then output ds2;
    else output d3;
    output d4;
run;

因此，使用宏 var 循环：

%let nrVars=%sysfunc(countw(&macroVarIdList));

data
    %do i = 1 %to &nrVars;
        dataset_%scan(&macroVarIdList,&i,|)
    %end;
    ;
    set partial_solution;
    count+1;
    %do j = 1 %to &nrVars;
        %let thisPayeeId=%scan(&macroVarIdList,&j,|);
        if payee_id = "&thisPayeeId" then output dataset_&thisPayeeId.;
    %end;
run;
于 2013-10-24T14:13:11.497 回答