SPSS Programming and Data Management, 4th Edition: A Guide for ...

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DivideandConquer ........................................... 18UsingINSERTwithaMasterCommandSyntaxFile................ 19DefiningGlobalSettings..................................... 193 Getting Data into SPSS 22GettingDatafromDatabases.................................... 22Installing Database Drivers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22DatabaseWizard.......................................... 24ReadingaSingleDatabaseTable.............................. 24ReadingMultipleTables..................................... 26ReadingExcelFiles............................................ 29Readinga“Typical”Worksheet............................... 30ReadingMultipleWorksheets................................ 32ReadingTextDataFiles......................................... 35SimpleTextDataFiles...................................... 36DelimitedTextData........................................ 37Fixed-WidthTextData...................................... 41TextDataFileswithVeryWideRecords......................... 45ReadingDifferentTypesofTextData........................... 46ReadingComplexTextDataFiles.................................. 48MixedFiles.............................................. 48GroupedFiles ............................................ 49Nested(Hierarchical)Files .................................. 52RepeatingData........................................... 58ReadingSASDataFiles ........................................ 59ReadingStataDataFiles........................................ 61vi
4 File Operations 62WorkingwithMultipleDataSources............................... 62MergingDataFiles............................................ 66Merging Files with the Same Cases but Different Variables . . . . . . . . . . 66Merging Files with the Same Variables but Different Cases . . . . . . . . . . 70Updating Data Files by Merging New Values from Transaction Files. . . . 74AggregatingData............................................. 76AggregateSummaryFunctions............................... 78WeightingData............................................... 79ChangingFileStructure ........................................ 81TransposingCasesandVariables.............................. 82CasestoVariables......................................... 83VariablestoCases......................................... 865 Variable and File Properties 91VariableProperties............................................ 91VariableLabels........................................... 94ValueLabels............................................. 94MissingValues ........................................... 95MeasurementLevel........................................ 95CustomVariableProperties.................................. 96Using Variable PropertiesasTemplates ........................ 98FileProperties ............................................... 996 Data Transformations 101RecodingCategoricalVariables................................. 101vii
Page 1 and 2: SPSS Programmingand Data Management
Page 3 and 4: PrefaceExperienced data analysts kn
Page 5: Contents1 Overview 1UsingThisBook..
Page 9 and 10: CreatingVariableswithVECTOR .......
Page 11 and 12: MixingCommandSyntaxandProgramBlocks
Page 13 and 14: 17 Creating Procedures 327GettingSt
Page 15 and 16: TransformingDataValues.............
Page 17: spss.StartSPSSFunction ............
Page 20 and 21: 2Chapter 1• \examples\data contai
Page 22 and 23: Chapter2Best Practices and Efficien
Page 24 and 25: 6Chapter 2Figure 2-1Command syntax
Page 26 and 27: 8Chapter 2Figure 2-2Log with and wi
Page 28 and 29: 10Chapter 2Do Not Overwrite Origina
Page 30 and 31: 12Chapter 2BEGIN DATA1 2 3 4 5END D
Page 32 and 33: 14Chapter 2*create some data.DATA L
Page 34 and 35: 16Chapter 2MISSING VALUES CommandIf
Page 36 and 37: 18Chapter 2• Thesecondtimethedata
Page 38 and 39: 20Chapter 2ExampleYou can create a
Page 40 and 41: GettingDataintoSPSSChapter3Before y
Page 42 and 43: 24Chapter 3• Table joins are not
Page 44 and 45: 26Chapter 3GET DATA /TYPE=ODBC /CON
Page 46 and 47: 28Chapter 3GET DATA /TYPE=ODBC/CONN
Page 48 and 49: 30Chapter 3treating the Excel workb
Page 50 and 51: 32Chapter 3• The original data ty
Page 52 and 53: 34Chapter 3GET DATA/TYPE=ODBC/CONNE
Page 54 and 55: 36Chapter 3applications export text
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38Chapter 3• If all of the variab
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40Chapter 3CSV Delimited Text Files
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42Chapter 3You could define the sam
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44Chapter 3• The first forward sl
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46Chapter 3*wide_file.sps.*Read tex
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48Chapter 3• Although the third c
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50Chapter 3ExampleIn this example,
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52Chapter 3RECORD=6 CASE=student 1-
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54Chapter 3• The value that ident
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56Chapter 3the last value instead o
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58Chapter 3Repeating DataIn a repea
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60Chapter 3*get_sas.sps.GET SAS DAT
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File OperationsChapter4You can comb
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64Chapter 4DATA LIST FREE /file1Var
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66Chapter 4Merging Data FilesYou ca
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68Chapter 4ExampleExpanding the pre
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70Chapter 4DATASET NAME household.D
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72Chapter 4DATASET NAME retail.***s
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74Chapter 4Figure 4-5Cases added in
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76Chapter 4Aggregating DataThe AGGR
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78Chapter 4• As with the previous
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80Chapter 4• The DO IF structure
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82Chapter 4Transposing Cases and Va
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84Chapter 4cases, you may not be ab
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86Chapter 4Figure 4-13Data file aft
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88Chapter 4Figure 4-15Data file aft
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90Chapter 4Figure 4-17Related varia
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92Chapter 5Interview_date "Intervie
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94Chapter 5• User-defined missing
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96Chapter 5VARIABLE LEVELIncome_cat
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98Chapter 5• Attribute names that
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100Chapter 5Figure 5-4File properti
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102Chapter 6• ELSE = COPY retains
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104Chapter 6Figure 6-2Make Cutpoint
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106Chapter 6EXECUTE.• COMPUTE var
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108Chapter 6- COMPUTE Poisson_Distr
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110Chapter 6• The COMPUTE command
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112Chapter 6• For tel2, SUBSTR(#t
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114Chapter 6• COMPUTE #n... then
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116Chapter 6• Months can be repre
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118Chapter 6• Conversion function
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120Chapter 6Example*datediff.sps.DA
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122Chapter 6/StartDateTime (datetim
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124Chapter 7- ELSE IF gender = 1.-
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126Chapter 7Excluding Invalid Data
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128Chapter 7• Although MATCH FILE
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130Chapter 7• COMPUTE filtervar=(
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132Chapter 7Figure 7-5Results from
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134Chapter 8Conditional ProcessingC
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136Chapter 8Missing Values in DO IF
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138Chapter 8• The COMPUTE command
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140Chapter 8DO REPEAT v=var1 TO var
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142Chapter 8***real job starts here
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144Chapter 8*Vector vec no longer e
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146Chapter 8• LOOP IF continues a
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148Chapter 8• The VECTOR command
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150Chapter 8LOOP.- COMPUTE Z=Z+1.EN
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152Chapter 8Figure 8-7Tabular sourc
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154Chapter 8Figure 8-8Different res
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156Chapter 9Using Output as Input w
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158Chapter 9Figure 9-1Default and p
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160Chapter 9Figure 9-3Percentiles a
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162Chapter 9Figure 9-4Variables dim
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164Chapter 9values of the bootstrap
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166Chapter 9• All of the XSLT sty
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168Chapter 9 Page Title
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170Chapter 9Although you can easily
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172Chapter 9CategoryCountPercent
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174Chapter 9Figure 9-11XPath expres
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176Chapter 9Figure 9-13Main templat
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178Chapter 9• calls another temp
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180Chapter 9Figure 9-15Rounding cel
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182Chapter 9Exporting Data to Other
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184Chapter 9SPSS Variable Type Stat
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186Chapter 9• You can use APPEND
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188Chapter 9• The TABLE subcomman
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190Chapter 9• OUTPUT NEW creates
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192Chapter 10Scoring is available o
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194Chapter 10*Get data to be scored
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196Chapter 10You have the option of
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198Chapter 10file in PMML format—
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200Chapter 10EEEESelect Response fo
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202Chapter 10EEESelect Response for
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204Chapter 10EEEEReplace 'file spec
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206Chapter 10value of 1 means that
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208Chapter 10Running Your Scoring J
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IntroductionChapter11The SPSS-Pytho
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212Chapter 11creating and debugging
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214Chapter 12Within a program block
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216Chapter 12The functions in the s
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218Chapter 12• spss.GetVariableMe
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220Chapter 12• In order to retrie
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222Chapter 12"Joe's Bar and Grille"
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224Chapter 12Passing Values from a
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226Chapter 12ExampleSuppose you nee
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228Chapter 12Figure 12-3Output from
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230Chapter 12Example: Simple Messag
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232Chapter 12Figure 12-5Simple file
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234Chapter 12Figure 12-6Simple mult
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236Chapter 12Getting HelpHelp with
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238Chapter 13• Notice that the tr
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240Chapter 13• First, loop throug
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242Chapter 13Displaying Command Syn
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244Chapter 13ExampleLet’s say you
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246Chapter 13• The function GetSP
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248Chapter 13Raising an Exception t
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250Chapter 13• The Submit functio
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252Chapter 13Another feature of run
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Chapter14Working with Variable Dict
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256Chapter 14Summarizing Variables
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258Chapter 14• varList is created
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260Chapter 14in the if statement wi
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262Chapter 14• For variables with
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264Chapter 14A Python list of varia
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266Chapter 14For the dataset and in
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268Chapter 14EvaluateXPath function
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270Chapter 14the parseString functi
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272Chapter 14ExampleThe sample data
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274Chapter 14• Notice that the st
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276Chapter 15Reading Case Data with
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278Chapter 15*python_get_cases_sequ
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280Chapter 15DATA LIST LIST (',') /
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282Chapter 15Creating New SPSS Vari
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284Chapter 15• To set case values
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286Chapter 15Example: Reducing a St
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288Chapter 15*python_reformat_strin
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290Chapter 15• Thecodemakesuseoft
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292Chapter 15the Spssdata class, yo
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294Chapter 15a for loop. The Spssda
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296Chapter 15*python_check_missing.
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298Chapter 15*python_Spssdata_split
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300Chapter 15• The Spssdata class
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302Chapter 15• Once specification
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304Chapter 15ThePythondatatypeNone
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306Chapter 15Appending New Cases wi
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308Chapter 15• Case values for ea
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310Chapter 15• spssdata.Spssdata(
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312Chapter 15rating formula makes u
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Retrieving Output from SPSSCommands
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316Chapter 16Note: Thespssaux modul
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318Chapter 16*python_write_workspac
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320Chapter 16As an aid to understan
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322Chapter 16two-tuple whose first
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324Chapter 16subtype identifier for
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326Chapter 16• Using /FORMAT=DFRE
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328Chapter 17full computational pow
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330Chapter 17text file containing P
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332Chapter 17As a further alternati
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334Chapter 17• The StartProcedure
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336Chapter 17Figure 17-4Pivot table
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338Chapter 17• The firstargumentt
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340Chapter 17Treating Categories or
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342Chapter 17• The row categories
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Data TransformationsChapter18The Py
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346Chapter 18The inputs must be com
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348Chapter 18*python_trans_ismissin
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350Chapter 18with the trans Module
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352Chapter 18Figure 18-3Resulting d
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354Chapter 18• The replacement st
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356Chapter 18be substituted for the
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358Chapter 18Example*python_extende
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360Chapter 18help(extendedTransform
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362Chapter 18• The Python variabl
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364Chapter 19If you use the PythonW
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366Chapter 19to call GetDesignatedO
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368Chapter 19string passed in as th
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370Chapter 19in the designated View
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372Chapter 20Youconvertablockofcomm
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374Chapter 20*python_converted_synt
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376Chapter 20SET MPRINT=OFF.DEFINE
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378Chapter 20• Notice that the co
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380Chapter 20To facilitate using OL
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382Chapter 20We’ll assume that yo
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384Chapter 20Setting the value of s
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Special TopicsChapter21Using Regula
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388Chapter 21• The OpenDataFile f
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390Chapter 21Locale IssuesFor users
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SPSS for SAS ProgrammersChapter22Re
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394Chapter 22proc sql;connect to od
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396Chapter 22assigns it a numeric d
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398Chapter 22Merging Files with the
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400Chapter 22• In the SPSS code,
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402Chapter 22Variable LabelsBoth SP
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404Chapter 22Cleaning and Validatin
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406Chapter 22• END IF in SPSS is
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408Chapter 22proc format;value opfm
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410Chapter 22• As in the recoding
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412Chapter 22• Both languages all
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414Chapter 22run;• SPSS uses subs
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416Chapter 22EXECUTE.data new;forma
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418Chapter 22Creating Custom Functi
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420Chapter 22BEGIN PROGRAM.import s
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422Chapter 22• The SetMacroValue
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Python Functions and ClassesAppendi
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426Appendix A• The argument templ
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428Appendix AResultFigure A-2Simple
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430Appendix AFigure A-3Resulting ta
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432Appendix A• The firstargumentt
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434Appendix A• Cell values must b
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436Appendix Acol_cat2 = CellText.St
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438Appendix AExamples of using the
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440Appendix Aposition within the di
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442Appendix ASetCell Method.SetCell
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444Appendix Atable.SetCategories(ro
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446Appendix Aof Count, which displa
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448Appendix Aas there are elements
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450Appendix AResultFigure A-13Table
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452Appendix AFormat nameCodePercent
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454Appendix AIn this example, row c
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456Appendix Aspss.BaseProcedure Cla
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458Appendix A• The procedure defi
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460Appendix AExamplehandle='demo'sp
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462Appendix A3,,4,dEND DATA.MISSING
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464Appendix A• The SetValueNumeri
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466Appendix A• Changes to the act
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468Appendix AMethod Read mode Write
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470Appendix A• When appending cas
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472Appendix A• Cases from the act
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474Appendix A• String values are
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476Appendix A• The value returned
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478Appendix A• This method is onl
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480Appendix ASetValueChar Method.Se
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482Appendix Acur.close()SetVarAttri
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484Appendix AFormat TypesTypeDescri
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486Appendix ASetVarNameAndType Meth
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488Appendix ASetVarNValueLabel Meth
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490Appendix ANote: In the SPSS docu
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492Appendix A• For other function
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494Appendix AExample#Create a list
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496Appendix A• MOYR. Month and ye
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498Appendix Aspss.GetVariableName F
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500Appendix AExampleimport spssweig
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502Appendix Aspss.SetDefaultPlugInV
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504Appendix AExampleIn this example
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506Appendix Ain the same table. Not
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508Appendix Adef groupMeans(groupVa
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510Appendix AResultFigure A-15Outpu
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512Appendix A• You can also use t
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514Appendix Aappend Method.append(l
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516Indexconcatenating string values
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518IndexIDEusing a Python IDE to dr
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520Indexraw strings, 220, 237, 241r
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522IndexUPCASE (function), 109UPDAT
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