如何在Stata中没有J变量的情况下从长到宽重塑特定数据集？

Question

My dataset looks like the following:

identification number	year	indicator	Data
1112000	2000	JKL_ADS	511
1112001	2001	JKL_ADS	517
1112002	2002	JKL_ADS	721
1112003	2003	JKL_ADS	925
1112004	2004	JKL_ADS	1092
1112000	2000	KLS_DSAK	351
1112001	2001	KLS_DSAK	631
1112002	2002	KLS_DSAK	732
1112003	2003	KLS_DSAK	823
1112004	2004	KLS_DSAK	1092

I want to reshape wide so it looks like this instead:

identification number	year	JKL_ADS	KLS_DSAK
1112000	2000	511	351
1112001	2001	517	631
1112002	2002	721	732
1112003	2003	925	823
1112004	2004	1092	1092

Answer 1

This is a fairly standard application. You didn't give example data in recommended form, so the details here may need modification by you.

Contrary to the question, indicator serves as an argument to j() .

* Example generated by -dataex-. For more info, type help dataex
clear
input long identificationnumber int year str8 indicator int data
1112000 2000 "JKL_ADS"   511
1112001 2001 "JKL_ADS"   517
1112002 2002 "JKL_ADS"   721
1112003 2003 "JKL_ADS"   925
1112004 2004 "JKL_ADS"  1092
1112000 2000 "KLS_DSAK"  351
1112001 2001 "KLS_DSAK"  631
1112002 2002 "KLS_DSAK"  732
1112003 2003 "KLS_DSAK"  823
1112004 2004 "KLS_DSAK" 1092
end

. reshape wide data , i(id year) j(indicator) string
(j = JKL_ADS KLS_DSAK)

Data                               Long   ->   Wide
-----------------------------------------------------------------------------
Number of observations               10   ->   5           
Number of variables                   4   ->   4           
j variable (2 values)         indicator   ->   (dropped)
xij variables:
                                   data   ->   dataJKL_ADS dataKLS_DSAK
-----------------------------------------------------------------------------

. rename (data*) (*)

. l

     +--------------------------------------+
     | identi~r   year   JKL_ADS   KLS_DSAK |
     |--------------------------------------|
  1. |  1112000   2000       511        351 |
  2. |  1112001   2001       517        631 |
  3. |  1112002   2002       721        732 |
  4. |  1112003   2003       925        823 |
  5. |  1112004   2004      1092       1092 |
     +--------------------------------------+