SAS Proc SQL——如何在SAS中执行Listagg函数

下午好

我正在使用Proc SQL在SAS上寻找Listag函数

比如说

id         product_name
1001        Bananas
1002        Bananas
1002        Apples
1002        Peach
1003        Pears

proc sql;
create table work.test2 as
select id, _____(',', product_name)
from  test1
group by id
order by 1;
quit;

结果

    id          product_name

    1001        Bananas
    1002        Bananas,Apples,Peach
    1003        Pears

SAS中有类似的功能？

您可以执行

data have;
input id product_name $;
datalines;
1001        Bananas
1002        Bananas
1002        Apples
1002        Peach
1003        Pears
 ;


  data want(rename=(product=product_name));
 do until(last.id);
 set have;
 by id;
 length product $50.;
  product =catx(',',product_name, product);
 end;
drop product_name;
run;

你能行

data have;
input id product_name $;
datalines;
1001        Bananas
1002        Bananas
1002        Apples
1002        Peach
1003        Pears
 ;


  data want(rename=(product=product_name));
 do until(last.id);
 set have;
 by id;
 length product $50.;
  product =catx(',',product_name, product);
 end;
drop product_name;
run;

---

下面是解决此类问题的两种方法的示例：

是在一个数据步骤中完成的，并在执行过程中累积

将数据转换为宽格式，然后使用CAT功能

*create sample data for demonstration;
data have;
    infile cards dlm='09'x;
    input OrgID Product $   States $;
    cards;
1   football    DC
1   football    VA
1   football    MD
2   football    CA
3   football    NV
3   football    CA
;
run;

*Sort - required for both options;
proc sort data=have;
    by orgID;
run;

**********************************************************************;
*Use RETAIN and BY group processing to combine the information;
**********************************************************************;
data want_option1;
    set have;
    by orgID;
    length combined $100.;
    retain combined;

    if first.orgID then
        combined=states;
    else
        combined=catx(', ', combined, states);

    if last.orgID then
        output;
run;

**********************************************************************;
*Transpose it to a wide format and then combine into a single field;
**********************************************************************;
proc transpose data=have out=wide prefix=state_;
    by orgID;
    var states;
run;

data want_option2;
    set wide;
    length combined $100.;
    combined=catx(', ', of state_:);
run;

---

下面是解决此类问题的两种方法的示例：

是在一个数据步骤中完成的，并在执行过程中累积

将数据转换为宽格式，然后使用CAT功能

*create sample data for demonstration;
data have;
    infile cards dlm='09'x;
    input OrgID Product $   States $;
    cards;
1   football    DC
1   football    VA
1   football    MD
2   football    CA
3   football    NV
3   football    CA
;
run;

*Sort - required for both options;
proc sort data=have;
    by orgID;
run;

**********************************************************************;
*Use RETAIN and BY group processing to combine the information;
**********************************************************************;
data want_option1;
    set have;
    by orgID;
    length combined $100.;
    retain combined;

    if first.orgID then
        combined=states;
    else
        combined=catx(', ', combined, states);

    if last.orgID then
        output;
run;

**********************************************************************;
*Transpose it to a wide format and then combine into a single field;
**********************************************************************;
proc transpose data=have out=wide prefix=state_;
    by orgID;
    var states;
run;

data want_option2;
    set wide;
    length combined $100.;
    combined=catx(', ', of state_:);
run;

---

你可以先用。通过变量来实现这一点。您必须在datastepSAS中执行此操作，因为它不支持列表或透视/窗口功能。但是，在SAS中有许多其他方法可以完成这些类型的任务。您可以先使用。通过变量来实现这一点。您必须在datastepSAS中执行此操作，因为它不支持列表或透视/窗口功能。但是，在SAS中有许多其他方法来完成这些类型的任务。当

DO

循环中有

SET

语句时，不需要

IF/THEN/ELSE

。当

DO

循环中有

SET

语句时，不需要

IF/THEN/ELSE

。