[U] User's Guide

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192 [ U ] 16 Do-filesyou could write the do-fileuse ‘1’tabulate regionsummarize marriage_rate divorce_ratebegin myxmpl.doend myxmpl.doand you could run this do-file by typing, for instance,. do myxmpl census(output omitted )The first command—use ‘1’—would be interpreted as use census because census was the firstargument you typed after do myxmpl.An even better version of the do-file would readargs dsnameuse ‘dsname’tabulate regionsummarize marriage_rate divorce_ratebegin myxmpl.doend myxmpl.doThe args command merely assigns a better name to the argument passed. args dsname does notverify that what we type following do myxmpl is a filename—we would have to use the syntaxcommand if we wanted to do that—but substituting ‘dsname’ for ‘1’ does make the code morereadable.If our program were to receive two arguments, we could refer to them as ‘1’ and ‘2’, or we couldput an ‘args dsname other’ at the top of our do-file and then refer to ‘dsname’ and ‘other’.To learn more about argument passing, see [U] 18.4 Program arguments. Baum (2009) providesmany examples and tips related to do-files.16.4.2 Suppressing outputThere is an alternative to typing do filename; it is run filename. run works in the same way asdo, except that neither the instructions in the file nor any of the output caused by those instructionsis shown on the screen or in the log file.For instance, with the above myxmpl.do, typing run myxmpl census results in. run myxmpl census.All the instructions were executed, but none of the output was shown.This is not useful here, but if the do-file contained only the definitions of Stata programs—see[U] 18 Programming Stata—and you merely wanted to load the programs without seeing the code,run would be useful.
16.5 ReferencesBaum, C. F. 2009. An Introduction to Stata Programming. College Station, TX: Stata Press.Long, J. S. 2009. The Workflow of Data Analysis Using Stata. College Station, TX: Stata Press.[ U ] 16.5 References 193
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A Stata Press PublicationStataCorp
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iTable of contentsStata basics1 Rea
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iii8.2 The return message for obtai
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v14 Matrix expressions . . . . . .
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vii18.11.6 Writing online help . .
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ix25.2.15 Treatment of empty cells
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Stata basics1 Read this—it will h
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36 [ U ] 2 A brief description of S
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38 [ U ] 2 A brief description of S
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40 [ U ] 3 Resources for learning a
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[ U ] 4.3 help: Stata’s help syst
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52 [ U ] 4 Stata’s help and searc
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58 [ U ] 5 Flavors of Stata5.2 Stat
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60 [ U ] 5 Flavors of StataThe diff
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62 [ U ] 6 Setting the size of memo
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8 Error messages and return codesCo
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[ U ] 8.2 The return message for ob
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76 [ U ] 9 The Break key9.2 Side ef
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78 [ U ] 10 Keyboard usesave is the
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80 [ U ] 10 Keyboard use10.4 Editin
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82 [ U ] 10 Keyboard useAnother met
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11 Language syntaxContents11.1 Over
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[ U ] 11.1 Overview 8711.1.2 by var
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[ U ] 11.1 Overview 89. summarize m
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[ U ] 11.1 Overview 91Example 7Nega
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11.1.7 options[ U ] 11.1 Overview 9
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[ U ] 11.1 Overview 9511.1.8 numlis
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[ U ] 11.2 Abbreviation rules 97by
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[ U ] 11.3 Naming conventions 99The
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[ U ] 11.4 varlists 101You may use
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[ U ] 11.4 varlists 103Consider a v
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[ U ] 11.4 varlists 105Here are som
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[ U ] 11.4 varlists 107You can sele
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[ U ] 11.4 varlists 109. use http:/
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[ U ] 11.5 by varlist: construct 11
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[ U ] 11.5 by varlist: construct 11
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[ U ] 11.6 File-naming conventions
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12 DataContents12.1 Data and datase
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[ U ] 12.2 Numbers 119. display 2/0
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[ U ] 12.2 Numbers 121Technical not
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[ U ] 12.4 Strings 12312.4 StringsA
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[ U ] 12.5 Formats: Controlling how
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[ U ] 12.6 Dataset, variable, and v
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[ U ] 12.8 Characteristics 139You c
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Page 188 and 189: 176 [ U ] 15 Saving and printing ou
Page 194 and 195: 182 [ U ] 16 Do-filesYou then enter
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Page 207 and 208: 17 Ado-filesContents17.1 Descriptio
Page 209 and 210: [ U ] 17.5 Where does Stata look fo
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Page 213 and 214: 18 Programming StataContents18.1 De
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Page 217 and 218: [ U ] 18.3 Macros 205That problem i
Page 219 and 220: [ U ] 18.3 Macros 207For the right
Page 221 and 222: [ U ] 18.3 Macros 209To a programme
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Page 229 and 230: [ U ] 18.4 Program arguments 217You
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Page 239 and 240: [ U ] 18.7 Temporary objects 22718.
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Page 245 and 246: [ U ] 18.10 Saving results 2333. Co
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Page 249 and 250: [ U ] 18.11 Ado-files 237e(sample)
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Page 253 and 254: [ U ] 18.11 Ado-files 241duck is co
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[ U ] 18.11 Ado-files 243begin fvar
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[ U ] 18.11 Ado-files 245begin fvar
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Technical note[ U ] 18.11 Ado-files
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[ U ] 18.11 Ado-files 249{phang}{op
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[ U ] 18.11 Ado-files 2515. Include
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[ U ] 18.13 References 253Technical
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256 [ U ] 19 Immediate commands19.1
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258 [ U ] 19 Immediate commands19.1
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260 [ U ] 20 Estimation and postest
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316 [ U ] 21 Inputting data21.2 Det
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318 [ U ] 21 Inputting dataM,Joe Sm
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320 [ U ] 21 Inputting dataTechnica
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322 [ U ] 21 Inputting dataAnother
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22 Combining datasetsYou have two d
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23 Working with stringsContents23.1
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[ U ] 23.4 Complex strings 329The p
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24 Working with dates and timesCont
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[ U ] 24.2 Inputting dates and time
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[ U ] 24.2 Inputting dates and time
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[ U ] 24.6 Converting between date
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25 Working with categorical data an
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[ U ] 25.1 Continuous, categorical,
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[ U ] 25.2 Estimation with factor v
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26 Overview of Stata estimation com
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[ U ] 26.3 ANOVA, ANCOVA, MANOVA, a
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[ U ] 26.5 Binary-outcome qualitati
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[ U ] 26.9 Exact estimators 363In t
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[ U ] 26.14 Models with time-series
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[ U ] 26.15 Panel-data models 367xt
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[ U ] 26.21 Multivariate and cluste
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[ U ] 26.25 Reference 373should try
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376 [ U ] 27 Commands everyone shou
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378 [ U ] 28 Using the Internet to
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390 Subject and author indexcoeffic
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392 Subject and author indexIif exp
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394 Subject and author indexPiantad
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396 Subject and author indexUnix,ke
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