[U] User's Guide

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322 [ U ] 21 Inputting dataAnother way of reading the data in pieces is to specify the if exp modifier. Say that your datacontained an equal number of males and females, coded as the variable sex (which you will read)being 0 or 1, respectively. You could type infile . . . if sex==0 to read the males. infile willread an observation, determine if sex is zero, and if not, throw the observation away. You could readjust the females by typing infile . . . if sex==1.If the dataset is really big, perhaps you need only a random sample of the data—you never intendedto analyze the entire dataset. Because infile and infix allow if exp, you could type infile. . . if runiform()
[ U ] 21.6 Reference 323If the database is functioning and the appropriate data source has been set up on the same machineas Stata, one call using odbc load is all that is needed to import data. For a more thorough descriptionof this process, see [D] odbc.21.6 ReferenceSwagel, P. 1994. os14: A program to format raw data files. Stata Technical Bulletin 20: 10–12. Reprinted in StataTechnical Bulletin Reprints, vol. 4, pp. 80–82. College Station, TX: Stata Press.
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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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4 [ U ] 1 Read this—it will helpA
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6 [ U ] 1 Read this—it will helpW
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10 [ U ] 1 Read this—it will help
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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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[ U ] 12.10 References 141The Varia
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144 [ U ] 13 Functions and expressi
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162 [ U ] 14 Matrix expressionsHere
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164 [ U ] 14 Matrix expressionsWe c
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166 [ U ] 14 Matrix expressions. ma
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168 [ U ] 14 Matrix expressionsRega
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170 [ U ] 14 Matrix expressionsEith
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172 [ U ] 14 Matrix expressionsThe
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174 [ U ] 14 Matrix expressions7. W
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176 [ U ] 15 Saving and printing ou
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182 [ U ] 16 Do-filesYou then enter
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184 [ U ] 16 Do-files* a sample ana
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186 [ U ] 16 Do-files16.1.4 Error h
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188 [ U ] 16 Do-filesMany users inc
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190 [ U ] 16 Do-files5. If Stata is
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192 [ U ] 16 Do-filesyou could writ
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17 Ado-filesContents17.1 Descriptio
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[ U ] 17.5 Where does Stata look fo
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17.6 How do I install an addition?A
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18 Programming StataContents18.1 De
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[ U ] 18.2 Relationship between a p
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[ U ] 18.3 Macros 205That problem i
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[ U ] 18.3 Macros 207For the right
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[ U ] 18.3 Macros 209To a programme
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[ U ] 18.3 Macros 211Because Stata
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[ U ] 18.3 Macros 213Above we have
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[ U ] 18.3 Macros 21518.3.10 Advanc
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[ U ] 18.4 Program arguments 217You
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[ U ] 18.4 Program arguments 219Let
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[ U ] 18.4 Program arguments 221Equ
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[ U ] 18.4 Program arguments 223pro
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[ U ] 18.4 Program arguments 22518.
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[ U ] 18.7 Temporary objects 22718.
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[ U ] 18.8 Accessing results calcul
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[ U ] 18.9 Accessing results calcul
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[ U ] 18.10 Saving results 2333. Co
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[ U ] 18.10 Saving results 2355. Yo
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[ U ] 18.11 Ado-files 237e(sample)
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[ U ] 18.11 Ado-files 239If you wri
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[ 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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Page 337 and 338: 22 Combining datasetsYou have two d
Page 339 and 340: 23 Working with stringsContents23.1
Page 341 and 342: [ U ] 23.4 Complex strings 329The p
Page 343 and 344: 24 Working with dates and timesCont
Page 345 and 346: [ U ] 24.2 Inputting dates and time
Page 347 and 348: [ U ] 24.2 Inputting dates and time
Page 349 and 350: [ U ] 24.6 Converting between date
Page 351 and 352: 25 Working with categorical data an
Page 353 and 354: [ U ] 25.1 Continuous, categorical,
Page 355 and 356: [ U ] 25.2 Estimation with factor v
Page 369 and 370: 26 Overview of Stata estimation com
Page 371 and 372: [ U ] 26.3 ANOVA, ANCOVA, MANOVA, a
Page 373 and 374: [ U ] 26.5 Binary-outcome qualitati
Page 375 and 376: [ U ] 26.9 Exact estimators 363In t
Page 377 and 378: [ U ] 26.14 Models with time-series
Page 379 and 380: [ U ] 26.15 Panel-data models 367xt
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Page 383 and 384: [ 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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