The list command


list displays the values of variables. asdocx can export the output from list command to Excel, Word, HTML, or LaTeX. With the label option, both variable labels and values labels can be exported. Here is a working example to export its output to MS Excel.

sysuse nlsw88
asdocx list idcode age race married industry, label save(File.xlsx) replace
Table: Results
NLS id age in current year race married industry
1 37 black single Transport/Comm/Utility
2 37 black single Manufacturing
3 42 black single Manufacturing
4 43 white married Professional Services
6 42 white married Manufacturing
7 39 white married Professional Services
9 37 white single Transport/Comm/Utility
12 40 white married Professional Services
13 40 white married Professional Services
14 40 white married Professional Services
15 39 white married Professional Services
16 40 white married Professional Services
18 40 white married Wholesale/Retail Trade
19 40 white single Professional Services
20 39 white married Professional Services
22 41 white married Professional Services
23 42 white married Professional Services
24 41 white married Professional Services
25 42 white married Professional Services
36 37 white single Business/Repair Svc
39 44 white single Professional Services
44 41 white married Public Administration
45 35 white married Transport/Comm/Utility
46 44 white married Professional Services
47 35 white single Transport/Comm/Utility
48 35 white single Finance/Ins/Real Estate
50 36 white single Professional Services
51 38 white married Professional Services
54 40 white single Professional Services
57 42 white married Wholesale/Retail Trade
Notes:

Both if and in qualifier are supported.

sysuse nlsw88
asdocx list idcode age race married industry in 1/20, label save(File.xlsx) replace

 

Other uses of list


The idea of using the list command as a tool of creating results table is to create a Stata dataset and export it. Several Stata commands can be used to create a new dataset of results from the existing one. The most commonly used command is the collapse command.

sysuse nlsw88
collapse (sum) wage , by(industry race)

* Create a table from the collapsed data
asdocx list
Table: Results
race industry wage
white Ag/Forestry/Fisheries 85.088
black Ag/Forestry/Fisheries 10.471
white Mining 61.398
white Construction 178.566
black Construction 29.206
other Construction 11.610
white Manufacturing 1825.607
black Manufacturing 903.049
other Manufacturing 24.423
white Transport/Comm/Utility 708.512
black Transport/Comm/Utility 308.709
other Transport/Comm/Utility 12.681
white Wholesale/Retail Trade 1692.344
black Wholesale/Retail Trade 347.580
white Finance/Ins/Real Estate 1670.564
black Finance/Ins/Real Estate 202.879
other Finance/Ins/Real Estate 16.446
white Business/Repair Svc 504.099
black Business/Repair Svc 129.296
other Business/Repair Svc 12.963
white Personal Services 248.610
black Personal Services 172.025
other Personal Services 6.271
white Entertainment/Rec Svc 106.585
black Entertainment/Rec Svc 7.729
white Professional Services 4997.315
black Professional Services 1393.120
other Professional Services 95.422
white Public Administration 1097.873
black Public Administration 469.742
other Public Administration 42.504
white . 55.307
black . 16.570
Notes:

 

Two-ways table


After collapsing the data, we have two grouping variables, that are race and industry, and one numerical variables, i.e, wage. We can use the tabdisp command to create a two way table. The variable industry has 12 levels and race has three levels. Therefore, the table will look much better if we report industry in rows and race in columns. The values of the wage variables that occur at the intersection of the levels of industry and race will be reported in cells. The asdocx code for this is:

asdocx tabdisp industry race , c(wage) replace
Tabulation of industry race
race
industry white black other
Ag/Forestry/Fisheries 85.088 10.471
Mining 61.398
Construction 178.566 29.206 11.61
Manufacturing 1825.607 903.049 24.423
Transport/Comm/Utility 708.512 308.709 12.681
Wholesale/Retail Trade 1692.344 347.58
Finance/Ins/Real Estate 1670.564 202.879 16.446
Business/Repair Svc 504.099 129.296 12.963
Personal Services 248.61 172.025 6.271
Entertainment/Rec Svc 106.585 7.729
Professional Services 4997.315 1393.12 95.422
Public Administration 1097.873 469.742 42.504
Notes:

 

See also


 

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