Hi all, from a previous question, I ended up with data after -xpose- that looks like the below:
\
However, I would ideally want to have a union mean column, union SE column, nonunion mean column, and nonunion SE column. In looking at the xpose help file, I don't see an option for splitting based on a variable root--so I thought of trying to do a reshape but faltered because I have the "union" and "perc" variables on their own alongside the m_ and se_ sequences. Any ideas on the best way to go about this?
\
Code:
sysuse nlsw88, clear
#delimit ;
collapse
(percent) perc = idcode
(mean) m_age = age m_married = married m_south = south m_smsa = smsa
(semean) se_age = age se_married = married se_south = south se_smsa = smsa
(count) idcode
if !missing(union), by(union)
;
#delimit cr
replace perc = perc/100
list
+---------------------------------------------------------------------------------------------------------+
1. | union | perc | m_age | m_marr~d | m_south | m_smsa | se_age | se_mar~d | se_south | se_smsa |
| nonunion | .754526 | 39.2054 | .664785 | .46789 | .6873677 | .080744 | .012545 | .01326 | .0123191 |
|---------------------------------------------------------------------------------------------------------|
| idcode |
| 1417 |
+---------------------------------------------------------------------------------------------------------+
+---------------------------------------------------------------------------------------------------------+
2. | union | perc | m_age | m_marr~d | m_south | m_smsa | se_age | se_mar~d | se_south | se_smsa |
| union | .245474 | 39.2842 | .607375 | .295011 | .7700651 | .140763 | .022769 | .021263 | .0196195 |
|---------------------------------------------------------------------------------------------------------|
| idcode |
| 461 |
+---------------------------------------------------------------------------------------------------------+
xpose, clear varname
drop in 1
rename (v1 v2) (union nonunion)
list
+----------------------------------+
| union nonunion _varname |
|----------------------------------|
1. | .7545261 .2454739 perc |
2. | 39.20536 39.28416 m_age |
3. | .6647847 .6073753 m_married |
4. | .4678899 .2950108 m_south |
5. | .6873677 .7700651 m_smsa |
|----------------------------------|
6. | .0807436 .1407625 se_age |
7. | .012545 .0227687 se_married |
8. | .0132599 .0212633 se_south |
9. | .0123191 .0196195 se_smsa |
10. | 1417 461 idcode |
+----------------------------------+

Comment