SAS 数据组织

Question

我有像附图一样的数据集，我只想要每年具有相同 numsecur 的观测值。

如何在 SAS proc sql 函数中执行此操作？这在 STATA 中会更容易吗？如果可以，我可以使用什么程序？

Answer 1

您看起来像是 Whosebug 的新用户。欢迎。您的问题被否决至少出于三个原因：

1) It's not really clear what you want from your description of the problem and the data
   you're providing

2) You haven't shown any attempts at what you've tried

3) Providing your data as a picture is not great.  It's most helpful if you're going
   to provide data to provide it so it's easy for others to consume in their program.  
   After all, you're asking for our help make it easier for us to help you.  If You 
   included something like the following we just have to copy and paste to create your
   dataset to work with:

    DATA test;    
    INPUT ID YEAR EXEC SUM;
       DATALINES;
    1573 1997 50 1080
    1581 1997 51  300
    1598 1996 54   80
    1598 1998 54   80
    1598 1999 54   80
    1602 1996 55  112.6
    1602 1997 55  335.965
       ;
    RUN;

话虽这么说，但以下内容可能会为您提供所需的内容，但这只是一个猜测，因为我不确定这是否真的是您要问的：

proc sql no print;
     create table testout as
            select *,count(*) as cnt
      from test
            group by sum
                  having cnt > 1;
quit;

您是在问：显示所有使用相同 SUM 的行还是其他？

Answer 2

假设我正确理解了您的问题，您希望仅当公司每年都有相同的 numsecur 时才保持相同的观察结果 company/individual。所以，这是我会尝试使用 STATA 的方法：

input ID YEAR EXEC SUM
    1573 1997 50 1080 //
    1581 1997 51  300 //
    1598 1996 54   80 //
    1598 1998 54   80 //
    1598 1999 54   80 //
    1602 1996 55  112.6 //
    1602 1997 55  335.965 //
    1575 1997 50 1080 //
    1575 1998 51 1080 //
    1595 1996 54   80 //
    1595 1998 54   30 //
    1595 1999 54   80 //
    1605 1996 55  112.6 //
    1605 1997 55  335.965 //
end

bysort ID SUM: gen drop=cond(_N==1, 0,_n)
drop if drop==0

结果显示（根据我的数据）：

   
    ID      YEAR   EXEC  SUM    drop    

1.  1575    1997    50  1080    1   
2.  1575    1998    51  1080    2   
3.  1595    1999    54  80      1   
4.  1595    1996    54  80      2   
5.  1598    1996    54  80      1   

6.  1598    1998    54  80      2   
7.  1598    1999    54  80      3

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