SPSS® 12.0 Command Syntax Reference

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<strong>Command</strong>s ACF Overview Options ACF [VARIABLES=] series names [/DIFF={1}] {n} [/SDIFF={1}] {n} [/PERIOD=n] [/{NOLOG**}] {LN } [/SEASONAL] [/MXAUTO={16**}] {n } [/SERROR={IND**}] {MA } [/PACF] [/APPLY [=’model name’]] **Default if the subcommand is omitted and there is no corresponding specification on the TSET command. Example ACF TICKETS /LN /DIFF=1 /SDIFF=1 /PER=12 /MXAUTO=50. ACF displays and plots the sample autocorrelation function of one or more time series. You can also display and plot the autocorrelations of transformed series by requesting natural log and differencing transformations within the procedure. Modifying the Series. You can request a natural log transformation of the series using the LN subcommand and seasonal and nonseasonal differencing to any degree using the SDIFF 71
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SPSS® 12.0 Command Syntax Referenc
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Universals This part of the SPSS Sy
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Commands 5 before processing. All u
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Commands 7 • Subcommands begin wi
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Commands 9 • Transformation comma
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Files SPSS reads, creates, and writ
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SPSS-Format Data File Files 13 An S
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SPSS Matrix Data Files Files 15 An
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Files 17 4. VARNAME_ variable (or F
Page 19 and 20: Figure 6 Dictionary of a matrix sys
Page 21 and 22: Variables To prepare data for proce
Page 23 and 24: Keyword TO Variables 23 You can est
Page 25 and 26: Variable Formats Variables 25 SPSS
Page 27 and 28: Format type Description Ew.d Scient
Page 29 and 30: Table 4 Numeric formats with punctu
Page 31 and 32: Variables 31 PIBHEXw (hexadecimal o
Page 33 and 34: Variables 33 RBw (real binary): The
Page 35 and 36: Variables 35 is read as two separat
Page 37 and 38: Transformation Expressions Transfor
Page 39 and 40: SQRT(arg) Square root. SQRT(SIBS) i
Page 41 and 42: The following are suffixes for cont
Page 43 and 44: Transformation Expressions 43 0≤p
Page 45 and 46: Domain Errors Transformation Expres
Page 47 and 48: Transformation Expressions 47 origi
Page 49 and 50: Transformation Expressions 49 • L
Page 51 and 52: NOT Logical Operator Transformation
Page 53 and 54: and COMPUTE lagvar=LAG(var1). EXECU
Page 55 and 56: Date and Time SPSS reads and writes
Page 57 and 58: Input Data Specification Date and T
Page 59 and 60: The LIST output from these commands
Page 61 and 62: Date and Time 61 • A time interva
Page 63 and 64: Aggregation Functions Date and Time
Page 65 and 66: Conversion Functions Date and Time
Page 67 and 68: Date and Time 67 XDATE.HOUR(arg) Re
Page 69: Precautions with Date and Time Vari
Page 73 and 74: Limitations Example ACF 73 • Maxi
Page 75 and 76: ACF 75 • If a natural log transfo
Page 77 and 78: ACF 77 • To change one or more mo
Page 79 and 80: ADD DOCUMENT 79 • An ADD DOCUMENT
Page 81 and 82: ADD FILES 81 Variable Names. You ca
Page 83 and 84: FILE Subcommand ADD FILES 83 FILE i
Page 85 and 86: ADD FILES 85 • DROP cannot be use
Page 87 and 88: ADD VALUE LABELS ADD VALUE LABELS v
Page 89 and 90: Example ADD VALUE LABELS 89 ADD VAL
Page 91 and 92: Options AGGREGATE 91 Aggregated Fil
Page 93 and 94: AGGREGATE 93 • MATCH FILES specif
Page 95 and 96: AGGREGATE 95 • The simplest speci
Page 97 and 98: Example AGGREGATE 97 AGGREGATE OUTF
Page 99 and 100: Table 1 Default versus columnwise m
Page 101 and 102: Overview Options ALSCAL 101 ALSCAL
Page 103 and 104: ALSCAL 103 • By default, ALSCAL a
Page 105 and 106: CONDITION Subcommand CONDITION spec
Page 107 and 108: Table 1 Default specifications for
Page 109 and 110: ALSCAL 109 NOULB Do not estimate up
Page 111 and 112: OUTFILE Subcommand ALSCAL 111 OUTFI
Page 113 and 114: MATRIX Subcommand ALSCAL 113 MATRIX
Page 115 and 116: Matrix mode Object by object Object
Page 117 and 118: ANACOR Overview Options ANACOR is a
Page 119 and 120: Casewise Data Table Data ANACOR 119
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ANACOR 121 column and its correspon
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MATRIX Subcommand ANACOR 123 • Th
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ANACOR 125 • The table cell value
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128 ANOVA Methods for Decomposing S
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130 ANOVA COVARIATES Subcommand COV
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132 ANOVA Example The following ana
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134 ANOVA STATISTICS Subcommand Cel
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APPLY DICTIONARY Overview APPLY DIC
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138 APPLY DICTIONARY • FROM is re
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140 APPLY DICTIONARY • Any variab
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142 APPLY DICTIONARY FORMATS Applie
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144 Syntax Reference AREG Overview
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146 Syntax Reference Operations Lim
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148 Syntax Reference The available
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150 Syntax Reference References Exa
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152 Syntax Reference ARIMA Overview
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154 Syntax Reference Subcommand Ord
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156 Syntax Reference • After the
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158 Syntax Reference • The last c
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160 Syntax Reference • APPLY with
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AUTORECODE AUTORECODE VARIABLES=var
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164 AUTORECODE Example Example DATA
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166 AUTORECODE PRINT Subcommand PRI
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168 BEGIN DATA—END DATA Operation
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CACHE CACHE. Although the virtual a
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172 CASEPLOT Options Modifying the
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174 CASEPLOT DIFF Subcommand DIFF s
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176 CASEPLOT keyword from each set
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178 CASEPLOT Figure 5 FORMAT=HILO M
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CASESTOVARS Overview CASESTOVARS [/
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182 CASESTOVARS consolidated into a
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184 CASESTOVARS INDEX Subcommand In
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186 CASESTOVARS • Fixed variables
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188 CASESTOVARS DROP Subcommand The
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190 Syntax Reference Overview Optio
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192 Syntax Reference Example DISCRE
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194 Syntax Reference WEIGHT Specifi
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196 Syntax Reference DISTR Keyword
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198 Syntax Reference DIMENSION Subc
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200 Syntax Reference VAF Variance a
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202 Syntax Reference CATEGORY(varli
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204 Syntax Reference SAVE Subcomman
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206 Syntax Reference TRDATA(file) T
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208 Syntax Reference Options Basic
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210 Syntax Reference • VARIABLES
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212 Syntax Reference SPORD and SPNO
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214 Syntax Reference SUPPLEMENTARY
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216 Syntax Reference PLOT Subcomman
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218 Syntax Reference DISCRDATA(’f
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220 CCF Basic Specification The bas
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222 CCF • The specification on SD
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224 CCF APPLY Subcommand APPLY allo
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CLUSTER CLUSTER varlist [/MISSING=[
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228 CLUSTER Operations • More tha
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230 CLUSTER CHEBYCHEV Chebychev dis
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232 CLUSTER and all except two (K1
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234 CLUSTER SS4( x, y) a ⁄ ( a +
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236 CLUSTER BSHAPE[(p[,np])] Binary
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238 CLUSTER ID Subcommand ID names
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240 CLUSTER • This example produc
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242 CLUSTER Split Files • VARNAME
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244 CLUSTER Example GET FILE=CRIME.
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COMPUTE COMPUTE target variable=exp
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248 COMPUTE IDF.LAPLACE(p,a,b) Retu
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250 COMPUTE Random variable functio
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252 COMPUTE String functions: ANY(a
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254 COMPUTE Operations • If the t
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256 COMPUTE • The last two exampl
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258 COMPUTE • V2 is a pseudo-rand
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260 COMPUTE
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262 CONJOINT Options Data Input. Yo
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264 CONJOINT • The RANK subcomman
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266 CONJOINT Example DATA LIST FREE
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268 CONJOINT • FACTORS is followe
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270 CONJOINT SUMMARYONLY Only the s
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CORRELATIONS CORRELATIONS [VARIABLE
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274 CORRELATIONS VARIABLES Subcomma
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276 CORRELATIONS Format of the Matr
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278 CORRELATIONS
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282 Syntax Reference Table Data •
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284 Syntax Reference EQUAL Subcomma
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286 Syntax Reference PRINT Subcomma
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288 Syntax Reference OUTFILE Subcom
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290 Syntax Reference • The table
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292 COUNT Operations Example Exampl
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294 COXREG Temporary variables crea
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296 COXREG Example TIME PROGRAM. CO
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298 COXREG STRATA Subcommand STRATA
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300 COXREG processing. If k rows ar
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302 COXREG • Cases with negative
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304 COXREG PLOT Subcommand You can
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306 COXREG EXTERNAL Subcommand EXTE
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308 CREATE Syntax Rules • The exi
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310 CREATE FFT Function FFT produce
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312 CREATE • Two lead orders indi
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314 CREATE • The second span must
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CROSSTABS General mode: CROSSTABS [
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318 CROSSTABS • In integer mode,
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320 CROSSTABS • Variables named b
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322 CROSSTABS ALL All cell informat
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324 CROSSTABS EXACT Computes the ex
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326 CROSSTABS to reproduce tables a
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328 CROSSTABS values for the rows a
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CSDESCRIPTIVES CSDESCRIPTIVES is av
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332 CSDESCRIPTIVES • CDSDESCRIPTI
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334 CSDESCRIPTIVES • For example,
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336 CSDESCRIPTIVES
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CSSELECT CSSELECT is available in t
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340 CSSELECT • Output data must b
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342 CSSELECT CLASSMISSING Subcomman
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344 CSSELECT • The ALL keyword ca
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CSPLAN CSPLAN is available in the C
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348 CSPLAN Design Block: Stage 1 /D
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350 CSPLAN Sample Design. A variety
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352 CSPLAN • The following subcom
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354 CSPLAN • CSPLAN generates a d
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356 CSPLAN CSPLAN Command The CSPLA
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358 CSPLAN PRINT Subcommand PLAN Di
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360 CSPLAN Type Description Default
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362 CSPLAN RATE Subcommand The RATE
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364 CSPLAN value The value must be
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366 CSPLAN EQUAL_WOR Equal selectio
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368 CSPLAN strata only the last one
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CSTABULATE CSTABULATE is available
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372 CSTABULATE Example • CSTABULA
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374 CSTABULATE DEFF Design effects.
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CTABLES CTABLES is available in the
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378 CTABLES • You can create mult
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380 CTABLES Example CTABLES /TABLE
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382 CTABLES • The output contains
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384 CTABLES specifications are equi
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386 CTABLES Table 1 Summary functio
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392 CTABLES Example: Summary Label
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394 CTABLES CATEGORIES Subcommand T
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396 CTABLES • Summary functions a
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400 CTABLES • The TITLE specifica
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404 CTABLES LISTWISE Exclude cases
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406 CURVEFIT Upperbound Value. You
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408 CURVEFIT VARIABLES Subcommand V
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410 CURVEFIT CIN Subcommand CIN con
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DATA LIST DATA LIST [FILE=file] [{F
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414 DATA LIST Value Delimiter. For
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416 DATA LIST Example * Column-styl
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418 DATA LIST the second case, POST
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420 DATA LIST • RECORDS indicates
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422 DATA LIST Example * Concatenate
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424 DATA LIST • With fixed format
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426 DATA LIST Column-Style Format S
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428 DATA LIST Table 1 Interpretatio
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430 DATA LIST Example DATA LIST FIL
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432 DATE Options You can specify th
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434 DATE • The DATE command inval
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436 DATE Example 4 The following is
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438 DATE Example 7 The following is
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DEFINE—!ENDDEFINE DEFINE macro na
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442 DEFINE—!ENDDEFINE • Immedia
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444 DEFINE—!ENDDEFINE Example •
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446 DEFINE—!ENDDEFINE • Three a
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448 DEFINE—!ENDDEFINE Example * K
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450 DEFINE—!ENDDEFINE Example * I
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452 DEFINE—!ENDDEFINE • The arg
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454 DEFINE—!ENDDEFINE MITERATE Ma
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456 DEFINE—!ENDDEFINE • In the
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458 DEFINE—!ENDDEFINE Direct Assi
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DELETE VARIABLES DELETE VARIABLES v
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462 DESCRIPTIVES Basic Specificatio
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464 DESCRIPTIVES Example DESCRIPTIV
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466 DESCRIPTIVES Example DESCRIPTIV
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468 DISCRIMINANT Example Overview O
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470 DISCRIMINANT Limitations Exampl
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472 DISCRIMINANT Example DISCRIMINA
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474 DISCRIMINANT OUTFILE Subcommand
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476 DISCRIMINANT • When multiple
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478 DISCRIMINANT Example DISCRIMINA
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480 DISCRIMINANT RAW Unstandardized
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482 DISCRIMINANT SEPARATE Separate-
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484 DISCRIMINANT Split Files • Wh
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486 DISCRIMINANT Example GET FILE=U
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488 DISPLAY VARIABLES Variable name
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DOCUMENT DOCUMENT text Example Over
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DO IF DO IF [(]logical expression[)
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494 DO IF Logical Expressions • L
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496 DO IF Example DATA LIST FREE /
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498 DO IF • If the logical expres
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500 DO IF Example INPUT PROGRAM. DA
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502 DO REPEAT—END REPEAT Syntax R
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504 DO REPEAT—END REPEAT PRINT Su
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DROP DOCUMENTS Overview DROP DOCUME
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END CASE END CASE Example * Restruc
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510 END CASE Example • COMPUTE se
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512 END CASE Example Example Figure
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514 END CASE Example Figure 4 LIST
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END FILE END FILE Example INPUT PRO
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ERASE ERASE FILE=’file’ Example
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520 EXAMINE Options Cells. You can
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522 EXAMINE Example EXAMINE VARIABL
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524 EXAMINE HISTOGRAM Histogram. SP
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526 EXAMINE cases. MESTIMATORS with
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EXECUTE EXECUTE Overview EXECUTE fo
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530 EXPORT Basic Specification The
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532 EXPORT lost in the translation.
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534 EXPORT MAP Subcommand MAP displ
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538 Syntax Reference VARIABLES Subc
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540 Syntax Reference Example EXSMOO
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542 Syntax Reference Keyword GRID T
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544 Syntax Reference APPLY Subcomma
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FACTOR FACTOR VARIABLES=varlist†
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548 FACTOR Subcommand Order • MET
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550 FACTOR MEANSUB Replace missing
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552 FACTOR Example FACTOR VARIABLES
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554 FACTOR • If more than one PLO
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556 FACTOR • This example analyze
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558 FACTOR • Only one SAVE subcom
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560 FACTOR Matrix Input • FACTOR
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562 FACTOR Example Example Example
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FILE HANDLE Overview FILE HANDLE ha
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FILE LABEL Overview FILE LABEL labe
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568 FILE TYPE—END FILE TYPE Overv
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570 FILE TYPE—END FILE TYPE Examp
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574 FILE TYPE—END FILE TYPE FILE
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580 FILE TYPE—END FILE TYPE BEGIN
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FILTER FILTER {BY var} {OFF } Examp
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FINISH FINISH Overview FINISH cause
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FIT FIT [[ERRORS=] residual series
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588 FIT • If more than one residu
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590 FLIP Example • FLIP discards
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592 FLIP The LIST output for the tr
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594 FORMATS Table 1 shows the forma
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596 FORMATS Example Example FORMATS
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598 FREQUENCIES STATISTICS subcomma
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600 FREQUENCIES NOTABLE Suppress al
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602 FREQUENCIES NONORMAL Suppress t
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604 FREQUENCIES Example FREQUENCIES
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GENLOG Overview GENLOG is available
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608 GENLOG Subcommand Order Example
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610 GENLOG CSTRUCTURE Subcommand CS
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612 GENLOG CONVERGE(n) Convergence
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614 GENLOG Example GENLOG RESPONSE
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616 GENLOG • Both designs specify
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618 GET Basic Specification • The
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620 GET • Name changes take place
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622 GET CAPTURE • The CONNECT sub
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GET DATA GET DATA /TYPE = {ODBC} {X
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626 GET DATA UNENCRYPTED Subcommand
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628 GET DATA FIXCASE Subcommand The
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630 GET DATA Variable Format Specif
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632 GET SAS Operations • GET SAS
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634 GET SAS Missing Values Since SA
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636 GET TRANSLATE Overview Options
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638 GET TRANSLATE Databases Databas
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640 GET TRANSLATE WK Any Lotus 1-2-
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642 GET TRANSLATE • GET TRANSLATE
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644 GLM: Overview [/KMATRIX= {list
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646 GLM: Overview Models • Estima
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648 GLM: Overview suppressing the i
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650 GLM: Overview For a repeated me
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652 GLM: Univariate Temporary varia
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654 GLM: Univariate Example • Mem
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656 GLM: Univariate SSTYPE(2) Type
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658 GLM: Univariate PRINT Subcomman
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660 GLM: Univariate (*) or the keyw
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662 GLM: Univariate A*B 0 0 0 1/3 1
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664 GLM: Univariate after the keywo
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666 GLM: Univariate Post Hoc Tests
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668 GLM: Univariate QREGW Ryan-Eino
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670 GLM: Univariate the temporary v
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GLM: Multivariate GLM is available
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674 GLM: Multivariate • Memory re
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676 GLM: Multivariate • Dependent
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678 GLM: Repeated Measures Overview
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680 GLM: Repeated Measures GLM Vari
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682 GLM: Repeated Measures POLYNOMI
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684 GLM: Repeated Measures • Nest
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GRAPH This command is available onl
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688 GRAPH Aggregation functions: Tw
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690 GRAPH Basic Specification The b
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692 GRAPH chart, it is defined by a
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694 GRAPH Figure 6 /BAR=MEAN(SALBEG
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696 GRAPH Figure 12 /BAR(RANGE)=COU
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698 GRAPH Figure 16 /LINE=MEAN(SPRI
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700 GRAPH Figure 22 LINE(DROP)=MEAN
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702 GRAPH Figure 28 LINE(DIFFERENCE
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704 GRAPH Figure 33 /PIE=SUM(THEFT
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706 GRAPH Figure 37 HILO=VALUE(HIGH
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708 GRAPH Figure 42 ERRORBAR=SALNOW
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710 GRAPH Figure 46 /SCATTERPLOT=JO
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712 GRAPH Figure 51 /HISTOGRAM(NORM
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714 GRAPH Figure 55 PARETO(CUM STAC
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716 GRAPH • REPORT and NOREPORT a
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718 HILOGLINEAR Options Design Spec
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720 HILOGLINEAR Variable List The r
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722 HILOGLINEAR • You can specify
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724 HILOGLINEAR PRINT Subcommand PR
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726 HILOGLINEAR References Bishop,
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728 Syntax Reference Saving scores.
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730 Syntax Reference • V1 has two
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732 Syntax Reference PLOT Subcomman
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734 Syntax Reference will be produc
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IF IF [(]logical expression[)] targ
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738 IF Numeric Variables • Numeri
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740 IF Example Example * Test for l
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IGRAPH IGRAPH [/Y=[VAR(varname1)] [
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744 IGRAPH [BREAK={MISSING}]] {NONE
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746 IGRAPH Syntax Rules Operations
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748 IGRAPH • Y assigns sales96 to
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750 IGRAPH COORDINATE Subcommand CO
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752 IGRAPH REFLINE Subcommand The R
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754 IGRAPH The keyword COINCIDENT c
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756 IGRAPH • Y assigns the built-
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758 IGRAPH • The first slice in e
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760 IGRAPH The INTERPOLATE keyword
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762 IGRAPH HISTOGRAM Subcommand HIS
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764 IGRAPH Example IGRAPH /X1=VAR(s
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766 IGRAPH Variances (VARIANCE). A
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768 IMPORT Subcommand Order • FIL
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770 IMPORT MAP Subcommand MAP displ
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772 INCLUDE • If a journal file i
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774 INFO Basic Specification • Th
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776 INFO Example INFO OVERVIEW FACI
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778 INPUT PROGRAM—END INPUT PROGR
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780 INPUT PROGRAM—END INPUT PROGR
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782 KEYED DATA LIST from 1, for the
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784 KEYED DATA LIST Example * Readi
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786 KEYED DATA LIST • KEY is requ
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788 KM Options KM Tables. You can i
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790 KM Example DO IF SEX = 1. + COM
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792 KM ID Subcommand ID specifies a
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794 KM Example KM LENGTH BY SEXRACE
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LEAVE LEAVE varlist Example COMPUTE
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LIST LIST [[VARIABLES=]{ALL** }] [/
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800 LIST • Variables are listed i
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LOGISTIC REGRESSION LOGISTIC REGRES
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804 LOGISTIC REGRESSION • The def
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806 LOGISTIC REGRESSION CATEGORICAL
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808 LOGISTIC REGRESSION Example LOG
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810 LOGISTIC REGRESSION SELECT Subc
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812 LOGISTIC REGRESSION CRITERIA Su
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814 LOGISTIC REGRESSION ZRESID Norm
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LOGLINEAR LOGLINEAR is available in
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818 LOGLINEAR Options Partition eff
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820 LOGLINEAR Variable List The var
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822 LOGLINEAR • CWEIGHT imposes s
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824 LOGLINEAR [BASIS]SPECIAL(matrix
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826 LOGLINEAR The following keyword
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828 LOGLINEAR Example * Testing the
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LOOP—END LOOP LOOP [varname=n TO
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832 LOOP—END LOOP • The SET MXL
Page 834 and 835:
834 LOOP—END LOOP Example * Facto
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836 LOOP—END LOOP • If a loop i
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838 LOOP—END LOOP Example LOOP #I
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840 MANOVA: Overview [/RESIDUALS=[C
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842 MANOVA: Overview tions, particu
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844 MANOVA: Univariate Example Over
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846 MANOVA: Univariate • The DESI
Page 848 and 849:
848 MANOVA: Univariate • To obtai
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850 MANOVA: Univariate from its gra
Page 852 and 853:
852 MANOVA: Univariate HOMOGENEITY
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854 MANOVA: Univariate HOMOGENEITY
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856 MANOVA: Univariate • MANOVA d
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858 MANOVA: Univariate partial η 2
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860 MANOVA: Univariate • Either I
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862 MANOVA: Univariate matrix data
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864 MANOVA: Univariate • If you d
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866 MANOVA: Univariate • You can
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868 MANOVA: Univariate CONSTANT Key
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870 MANOVA: Multivariate Overview O
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872 MANOVA: Multivariate Variable L
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874 MANOVA: Multivariate that follo
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876 MANOVA: Multivariate TRANSFORM
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878 MANOVA: Multivariate variance-c
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880 MANOVA: Multivariate WILKS Wilk
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MANOVA: Repeated Measures Overview
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884 MANOVA: Repeated Measures Examp
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886 MANOVA: Repeated Measures • W
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888 MANOVA: Repeated Measures Examp
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890 MANOVA: Repeated Measures • T
Page 892 and 893:
892 MAPS Example Overview MAPS /GVA
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894 MAPS Example one instance of ea
Page 896 and 897:
896 MAPS GVMISMATCH Subcommand Exam
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898 MAPS Example (SUM=function) The
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900 MAPS BARMAP Subcommand Example
Page 902 and 903:
902 MAPS Example MAPS /GVAR = VAR(s
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MATCH FILES MATCH FILES FILE={file}
Page 907 and 908:
MATCH FILES 907 cators. The new fil
Page 909 and 910:
Duplicate Cases MATCH FILES 909 Dup
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MATCH FILES 911 • DROP cannot be
Page 913 and 914:
MATRIX—END MATRIX This command is
Page 915 and 916:
Example Overview MATRIX—END MATRI
Page 917 and 918:
MATRIX—END MATRIX 917 signs; and
Page 919 and 920:
MATRIX—END MATRIX 919 For example
Page 921 and 922:
MATRIX—END MATRIX 921 • The rel
Page 923 and 924:
Logical Operators MATRIX—END MATR
Page 925 and 926:
MATRIX—END MATRIX 925 • The MGE
Page 927 and 928:
MATRIX—END MATRIX 927 • The fir
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MATRIX—END MATRIX 929 CMAX(M) Col
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MATRIX—END MATRIX 931 IDENT(S1 [,
Page 933 and 934:
mean of the applicable ranks. For e
Page 935 and 936:
MATRIX—END MATRIX 935 the results
Page 937 and 938:
RNAMES Keyword MATRIX—END MATRIX
Page 939 and 940:
MATRIX—END MATRIX 939 • The DO
Page 941 and 942:
Example MATRIX—END MATRIX 941 LOO
Page 943 and 944:
SIZE Specification MATRIX—END MAT
Page 945 and 946:
MATRIX—END MATRIX 945 defined on
Page 947 and 948:
MATRIX—END MATRIX 947 For a name
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MATRIX—END MATRIX 949 • A matri
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STRINGS Specification MATRIX—END
Page 953 and 954:
MSAVE Statement: Writing SPSS Matri
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MATRIX—END MATRIX 955 • You can
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RELEASE Statement MATRIX—END MATR
Page 959 and 960:
Options MATRIX DATA 959 • ROWTYPE
Page 961 and 962:
MATRIX DATA 961 and then assign new
Page 963 and 964:
Example * Matrix data with procedur
Page 965 and 966:
MATRIX DATA 965 When either of the
Page 967 and 968:
Example MATRIX DATA FILE=RAWMTX /VA
Page 969 and 970:
MATRIX DATA 969 • SPLIT can speci
Page 971 and 972:
Example * Rowtype is implicit. MATR
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MATRIX DATA 973 N_VECTOR Vector of
Page 975 and 976:
MATRIX DATA 975 • The parentheses
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MCONVERT MCONVERT [[/MATRIX=] [IN({
Page 979 and 980:
MCONVERT 979 • MATRIX=IN cannot b
Page 981 and 982:
• By default, MEANS displays mean
Page 983 and 984:
SEMEAN Standard error of cell mean.
Page 985 and 986:
MISSING VALUES MISSING VALUES {varl
Page 987 and 988:
Example MISSING VALUES ALL (). MISS
Page 989 and 990:
Overview MIXED 989 The MIXED proced
Page 991 and 992:
MIXED 991 Model 5: Random Coefficie
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Covariance Structure List MIXED 993
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MIXED 995 DIAG Diagonal. This is a
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TPH Heterogenous Toeplitz ( ≤ 1).
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MIXED 999 SINGULAR(value) Value use
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MIXED 1001 • In the second EMMEAN
Page 1003 and 1004:
MIXED 1003 • The keywords EXCLUDE
Page 1005 and 1006:
MIXED 1005 of parentheses must be e
Page 1007 and 1008:
Example MIXED 1007 MIXED SCORE BY C
Page 1009 and 1010:
MIXED 1009 • Effects appearing or
Page 1011 and 1012:
Example (Independent random effects
Page 1013 and 1014:
MODEL NAME Overview MODEL NAME is a
Page 1015 and 1016:
MRSETS MRSETS is available in the T
Page 1017 and 1018:
MRSETS 1017 LABEL The label for the
Page 1019 and 1020:
MULT RESPONSE Overview MULT RESPONS
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Operations MULT RESPONSE 1021 • E
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Example MULT RESPONSE 1023 MULT RES
Page 1025 and 1026:
MULT RESPONSE 1025 • The TABLES s
Page 1027 and 1028:
MULT RESPONSE 1027 • For a multip
Page 1029 and 1030:
MVA MVA is available in the Missing
Page 1031 and 1032:
Labeling cases. For pattern tables,
Page 1033 and 1034:
MAXCAT Subcommand MVA 1033 The MAXC
Page 1035 and 1036:
MVA 1035 • The probability (two-t
Page 1037 and 1038:
Example MVA 1037 MVA VARIABLES=popu
Page 1039 and 1040:
PAIRWISE Subcommand MVA 1039 For ea
Page 1041 and 1042:
REGRESSION Subcommand MVA 1041 The
Page 1043 and 1044:
NEW FILE NEW FILE Overview The NEW
Page 1045 and 1046:
Example MODEL PROGRAM A=.6. COMPUTE
Page 1047 and 1048:
Operations NLR 1047 • By default,
Page 1049 and 1050:
Caution NLR 1049 The selection of g
Page 1051 and 1052:
NLR 1051 It is not necessary to use
Page 1053 and 1054:
SAVE Subcommand NLR 1053 SAVE is us
Page 1055 and 1056:
Iteration Criteria for CNLR NLR 105
Page 1057 and 1058:
NLR 1057 PCON n Convergence criteri
Page 1059 and 1060:
Example MODEL PROGRAM A=1 B=1. COMP
Page 1061 and 1062:
N OF CASES N OF CASES n Example Ove
Page 1063 and 1064:
NOMREG NOMREG is available in the R
Page 1065 and 1066:
NOMREG 1065 ORDER = ASCENDING Respo
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• The FULLFACTORIAL subcommand do
Page 1069 and 1070:
NOMREG 1069 FORWARD Forward entry.
Page 1071 and 1072:
NOMREG 1071 the former effect must
Page 1073 and 1074:
PARAMETER Parameter estimates. NOMR
Page 1075 and 1076:
NOMREG 1075 • The basic format fo
Page 1077 and 1078:
Subcommand Order • VARIABLES must
Page 1079 and 1080:
MISSING Subcommand NONPAR CORR 1079
Page 1081 and 1082:
Example Example NONPAR CORR 1081 GE
Page 1083 and 1084:
Example Overview NPAR TESTS K-S(UNI
Page 1085 and 1086:
BINOMIAL Subcommand Syntax NPAR TES
Page 1087 and 1088:
NPAR TESTS 1087 • This example re
Page 1089 and 1090:
Example NPAR TESTS 1089 NPAR TESTS
Page 1091 and 1092:
K-W Subcommand Syntax Operations Ex
Page 1093 and 1094:
Example NPAR TESTS M-W=V1 BY V2(1,2
Page 1095 and 1096:
MH Subcommand Syntax Operations NPA
Page 1097 and 1098:
RUNS Subcommand Syntax Operations E
Page 1099 and 1100:
Operations Example NPAR TESTS 1099
Page 1101 and 1102:
METHOD Subcommand NPAR TESTS 1101 M
Page 1103 and 1104:
Example Example Example Example NUM
Page 1105 and 1106:
Basic Specification OLAP CUBES 1105
Page 1107 and 1108:
FIRST First value. LAST Last value.
Page 1109 and 1110:
Example OLAP CUBES 1109 OLAP CUBES
Page 1111 and 1112:
OMS 1111 • SPSS data file format
Page 1113 and 1114:
OMS 1113 The two SELECT subcommands
Page 1115 and 1116:
SUBTYPES Keyword OMS 1115 The SUBTY
Page 1117 and 1118:
Example OMS /SELECT TABLES /IF COMM
Page 1119 and 1120:
OMS 1119 SUBTYPES Output file names
Page 1121 and 1122:
OMS 1121 The labels associated with
Page 1123 and 1124:
OMS 1123 • The TAG subcommand mus
Page 1125 and 1126:
Figure 5 Table with Layers OMS 1125
Page 1127 and 1128:
Figure 7 Multiple Tables with Diffe
Page 1129 and 1130:
OMS 1129 • When you use the COLUM
Page 1131 and 1132:
Figure 10 Combining different table
Page 1133 and 1134:
... OMS 1133 The preceding e
Page 1135 and 1136:
OMS 1135 • The table contents as
Page 1137 and 1138:
Table 2 Command Command Identifier
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Page 1141 and 1142:
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Page 1145 and 1146:
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Page 1149 and 1150:
Page 1151 and 1152:
Page 1153 and 1154:
OMS 1153
Page 1155 and 1156:
OMSINFO 1155
Page 1157 and 1158:
Example OMSEND 1157 OMSEND FILE = [
Page 1159 and 1160:
FILE Subcommand OMSLOG 1159 The FIL
Page 1161 and 1162:
ONEWAY 1161 Statistical Display. In
Page 1163 and 1164:
ONEWAY 1163 error, the t statistic,
Page 1165 and 1166:
ONEWAY 1165 SIDAK Sidak t test. Use
Page 1167 and 1168:
• A case outside the range specif
Page 1169 and 1170:
Example Example Example Example ONE
Page 1171 and 1172:
Subcommand Order Operations • Sub
Page 1173 and 1174:
Example ORTHOPLAN 1173 ORTHOPLAN FA
Page 1175 and 1176:
OVERALS Overview Options OVERALS is
Page 1177 and 1178:
Example OVERALS 1177 as a valid cat
Page 1179 and 1180:
NOBSERVATIONS Subcommand DIMENSION
Page 1181 and 1182:
DEFAULT OBJECT and LOADINGS. OVERAL
Page 1183:
MATRIX Subcommand OVERALS 1183 •
Page 1186 and 1187:
1186 PACF Basic Specification The b
Page 1188 and 1189:
1188 PACF PERIOD Subcommand PERIOD
Page 1190 and 1191:
1190 PACF Example PACF TICKETS /LN
Page 1192 and 1193:
1192 PARTIAL CORR Matrix Input and
Page 1194 and 1195:
1194 PARTIAL CORR • The second PA
Page 1196 and 1197:
1196 PARTIAL CORR MATRIX Subcommand
Page 1198 and 1199:
1198 PARTIAL CORR Example Example E
Page 1200 and 1201:
1200 PARTIAL CORR
Page 1202 and 1203:
1202 PERMISSIONS
Page 1204 and 1205:
1204 PLANCARDS Subcommand Order Ope
Page 1206 and 1207:
1206 PLANCARDS FORMAT Subcommand FO
Page 1208 and 1209:
1208 PLANCARDS • If the special c
Page 1211 and 1212:
PLUM Overview Options PLUM is avail
Page 1213 and 1214:
Example PLUM 1213 PLUM chist BY num
Page 1215 and 1216:
PLUM 1215 pair of parentheses must
Page 1217 and 1218:
PLUM 1217 ACPROB Estimated probabil
Page 1219 and 1220:
PLUM 1219 • Effect names and the
Page 1221 and 1222:
Example POINT 1221 an infinite loop
Page 1223 and 1224:
Example POINT 1223 FILE HANDLE DRIV
Page 1225 and 1226:
Overview Options PPLOT 1225 PPLOT (
Page 1227 and 1228:
PPLOT 1227 WEIBULL(a,b) Weibull dis
Page 1229 and 1230:
PPLOT 1229 Q-Q Quantile-quantile pl
Page 1231 and 1232:
Example PPLOT 1231 PPLOT TICKETS /D
Page 1233 and 1234:
Example PPLOT 1233 PPLOT X1 Y1 Z1 /
Page 1235 and 1236:
PREDICT 1235 • Values on keyword
Page 1237 and 1238:
Example Example • If variable DAY
Page 1239 and 1240:
PRINCALS Overview Options PRINCALS
Page 1241 and 1242:
Example PRINCALS 1241 can use COMPU
Page 1243 and 1244:
PRINCALS 1243 NUME Numerical. This
Page 1245 and 1246:
DEFAULT QUANT and OBJECT. ALL All a
Page 1247 and 1248:
MATRIX Subcommand PRINCALS 1247 PRI
Page 1249 and 1250:
PRINT PRINT [OUTFILE=file] [RECORDS
Page 1251 and 1252:
Formats PRINT 1251 • PRINT displa
Page 1253 and 1254:
RECORDS Subcommand PRINT 1253 RECOR
Page 1255 and 1256:
PRINT EJECT PRINT EJECT [OUTFILE=fi
Page 1257 and 1258:
Example PRINT EJECT 1257 DO IF MOD(
Page 1259 and 1260:
Operations Example PRINT FORMATS 12
Page 1261 and 1262:
PRINT SPACE PRINT SPACE [OUTFILE=fi
Page 1263 and 1264:
PRINT SPACE 1263 • The DATA LIST
Page 1265 and 1266:
PROBIT 1265 Natural Response Rates.
Page 1267 and 1268:
Example * Aggregating case-by-case
Page 1269 and 1270:
PROBIT 1269 You can request one or
Page 1271 and 1272:
PROBIT 1271 • This example reads
Page 1273 and 1274:
PROCEDURE OUTPUT PROCEDURE OUTPUT O
Page 1275 and 1276:
PROXIMITIES PROXIMITIES varlist [/V
Page 1277 and 1278:
Limitations Example PROXIMITIES 127
Page 1279 and 1280:
PROXIMITIES 1279 RESCALE Rescale th
Page 1281 and 1282:
PROXIMITIES 1281 PH2 Phi-square bet
Page 1283 and 1284:
Table 1 Binary matching coefficient
Page 1285 and 1286:
PROXIMITIES 1285 measures the propo
Page 1287 and 1288:
PROXIMITIES 1287 BLWMN[(p[,np])] Bi
Page 1289 and 1290:
Matrix Input PROXIMITIES 1289 • T
Page 1291 and 1292:
Example Example Example Example PRO
Page 1293 and 1294:
References PROXIMITIES 1293 Anderbe
Page 1295 and 1296:
PROXSCAL PROXSCAL is available in t
Page 1297 and 1298:
PROXSCAL 1297 Output. You can produ
Page 1299 and 1300:
PROXSCAL 1299 sourceid Source ident
Page 1301 and 1302:
PROXSCAL 1301 • PROXSCAL reads tw
Page 1303 and 1304:
CONDITION Subcommand PROXSCAL 1303
Page 1305 and 1306:
MODEL Subcommand PROXSCAL 1305 MODE
Page 1307 and 1308:
Example PROXSCAL 1307 PROXSCAL aunt
Page 1309 and 1310:
PROXSCAL 1309 STRESS Stress measure
Page 1311 and 1312:
PROXSCAL 1311 CORRELATIONS Correlat
Page 1313 and 1314:
QUICK CLUSTER Overview Options QUIC
Page 1315 and 1316:
Example QUICK CLUSTER 1315 • The
Page 1317 and 1318:
QUICK CLUSTER 1317 • This example
Page 1319 and 1320:
QUICK CLUSTER 1319 • Six clusters
Page 1321 and 1322:
Basic Specification RANK 1321 The b
Page 1323 and 1324:
RANK 1323 NTILES(k) Percentile grou
Page 1325 and 1326:
Example RANK 1325 RANK VARIABLES=MO
Page 1327 and 1328:
Case Frequency RATIO STATISTICS 132
Page 1329 and 1330:
RATIO STATISTICS 1329 PRD Price-rel
Page 1331 and 1332:
READ MODEL Overview Options Basic S
Page 1333 and 1334:
TYPE Subcommand TSET Subcommand REA
Page 1335 and 1336:
Basic Specification RECODE 1335 The
Page 1337 and 1338:
Example RECODE 1337 • Variable QV
Page 1339 and 1340:
RECODE 1339 • If RECODE encounter
Page 1341 and 1342:
RECORD TYPE 1341 command. REPEATING
Page 1343 and 1344:
Example * A nested file of accident
Page 1345 and 1346:
Example RECORD TYPE 1345 FILE TYPE
Page 1347 and 1348:
RECORD TYPE 1347 • MISSING is not
Page 1349 and 1350:
REFORMAT REFORMAT {ALPHA } = varlis
Page 1351 and 1352:
REGRESSION REGRESSION [MATRIX=[IN({
Page 1353 and 1354:
Subcommand Order The standard subco
Page 1355 and 1356:
REGRESSION 1355 • The order of va
Page 1357 and 1358:
REGRESSION 1357 variable can be use
Page 1359 and 1360:
REGRESSION 1359 Excluded Variables
Page 1361 and 1362:
REGRESSION 1361 • ORIGIN and NOOR
Page 1363 and 1364:
REGRESSION 1363 SIG Display one-tai
Page 1365 and 1366:
Format of the Matrix Data File Spli
Page 1367 and 1368:
REGRESSION: Residuals REGRESSION VA
Page 1369 and 1370:
Example DRESID Deleted residuals. A
Page 1371 and 1372:
REGRESSION: Residuals 1371 of $CASE
Page 1373 and 1374:
REGRESSION: Residuals 1373 • If P
Page 1375 and 1376:
Example REGRESSION: Residuals 1375
Page 1377 and 1378:
Options Model Type. You can specify
Page 1379 and 1380:
GUTTMAN Guttman’s lower bounds fo
Page 1381 and 1382:
ALL All applicable summary statisti
Page 1383 and 1384:
RELIABILITY 1383 • A split variab
Page 1385 and 1386:
Example RELIABILITY 1385 GET FILE=P
Page 1387 and 1388:
Example Example Example RENAME VARI
Page 1389 and 1390:
Options REPEATING DATA 1389 Length
Page 1391 and 1392:
Reading Past End of Record Example
Page 1393 and 1394:
Example * Create a data set of chil
Page 1395 and 1396:
Example * Repeating groups in varyi
Page 1397 and 1398:
REPEATING DATA 1397 • FILE must s
Page 1399 and 1400:
REPEATING DATA 1399 • DATA LIST d
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REPEATING DATA 1401 • The ID subc
Page 1403 and 1404:
Aggregate functions: Composite func
Page 1405 and 1406:
Options Table 1 Keyword default set
Page 1407 and 1408:
REPORT 1407 • TITLE and FOOTNOTE
Page 1409 and 1410:
REPORT 1409 MANUAL Default settings
Page 1411 and 1412:
REPORT 1411 CHWRAP Automatically wr
Page 1413 and 1414:
Figure 2 Page layout for REPORT whe
Page 1415 and 1416:
REPORT 1415 • VALUE and LABEL hav
Page 1417 and 1418:
REPORT 1417 • More than one strin
Page 1419 and 1420:
Column Heading The following option
Page 1421 and 1422:
REPORT 1421 • This example create
Page 1423 and 1424:
MEAN Mean. STDDEV Standard deviatio
Page 1425 and 1426:
ADD(arg 1 ... arg n ) Add the argum
Page 1427 and 1428:
REPORT 1427 • For aggregate funct
Page 1429 and 1430:
REPORT 1429 • The specification o
Page 1431 and 1432:
REREAD REREAD [FILE=file] [COLUMN=e
Page 1433 and 1434:
Example REREAD 1433 • Data are ex
Page 1435 and 1436:
REREAD 1435 • When the updated ba
Page 1437 and 1438:
RESTORE RESTORE Overview RESTORE re
Page 1439 and 1440:
RMV 1439 • Equations are separate
Page 1441 and 1442:
RMV 1441 • Each median is based o
Page 1443 and 1444:
ROC 1443 • The test result variab
Page 1445 and 1446:
ROC 1445 DISTRIBUTION(NEGEXPO) The
Page 1447 and 1448:
SAMPLE 1447 • If SAMPLE precedes
Page 1449 and 1450:
SAVE 1449 Variable Map. To confirm
Page 1451 and 1452:
VERSION Subcommand SAVE 1451 VERSIO
Page 1453 and 1454:
SAVE 1453 • The name changes are
Page 1455 and 1456:
SAVE 1455
Page 1457 and 1458:
Syntax Rules Operations Limitations
Page 1459 and 1460:
SAVE TRANSLATE This command is not
Page 1461 and 1462:
Overview Options SAVE TRANSLATE 146
Page 1463 and 1464:
Variable formats are translated to
Page 1465 and 1466:
CONNECT Subcommand CONNECT identifi
Page 1467 and 1468:
SAVE TRANSLATE 1467 • Date variab
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SAVE TRANSLATE 1469 RETAIN Retain t
Page 1471 and 1472:
SCRIPT Overview SCRIPT ‘filename
Page 1473 and 1474:
SEASON Overview Options Basic Speci
Page 1475 and 1476:
VARIABLES Subcommand MODEL Subcomma
Page 1477 and 1478:
References • The second command a
Page 1479 and 1480:
Syntax Rules SELECT IF 1479 • Log
Page 1481 and 1482:
Example Example Example Example Exa
Page 1483 and 1484:
SET SET [WORKSPACE={4096**}] [MXCEL
Page 1485 and 1486:
SET 1485 Journal Files. You can det
Page 1487 and 1488:
SET 1487 • You can use the PRINT
Page 1489 and 1490:
Example SET EPOCH=1900. SET 1489
Page 1491 and 1492:
SET 1491 • MPRINT is effective on
Page 1493 and 1494:
NO Do not compress scratch files. B
Page 1495 and 1496:
Example SET CCA=’-,$,,’. SET 14
Page 1497 and 1498:
SET 1497 Any variable with defined
Page 1499 and 1500:
SHOW 1499 • MXWARNS displays the
Page 1501 and 1502:
MXMEMORY No longer supported. SHOW
Page 1503 and 1504:
SORT CASES SORT CASES [BY] varlist[
Page 1505 and 1506:
SPCHART This command is available o
Page 1507 and 1508:
Syntax Rules SPCHART 1507 • Only
Page 1509 and 1510:
Figure 1 X-bar chart SPCHART 1509 A
Page 1511 and 1512:
Variable Specification SPCHART 1511
Page 1513 and 1514:
SPCHART 1513 moving range chart. Th
Page 1515 and 1516:
Table 4 Each case is a subgroup for
Page 1517 and 1518:
SPCHART 1517 axis. Table 6 is an ex
Page 1519 and 1520:
The Process Performance Indices PP
Page 1521 and 1522:
SPAN Subcommand SPCHART 1521 SPAN s
Page 1523 and 1524:
SPCHART 1523
Page 1525 and 1526:
Basic Specification Subcommand Orde
Page 1527 and 1528:
Example CENTER Subcommand SPECTRA V
Page 1529 and 1530:
BY Keyword CROSS Subcommand SPECTRA
Page 1531 and 1532:
APPLY Subcommand P Periodogram valu
Page 1533 and 1534:
SPLIT FILE SPLIT FILE {OFF } [{LAYE
Page 1535 and 1536:
Example SPLIT FILE 1535 • Because
Page 1537 and 1538:
Example STRING 1537 • Variables d
Page 1539 and 1540:
Example SUBTITLE 1539 TITLE ’Runn
Page 1541 and 1542:
SUMMARIZE 1541 each group. You can
Page 1543 and 1544:
CELLS Subcommand SUMMARIZE 1543 By
Page 1545 and 1546:
STATISTICS Subcommand SUMMARIZE 154
Page 1547 and 1548:
Options SURVIVAL 1547 Life Tables.
Page 1549 and 1550:
SURVIVAL 1549 groups ( A = 1 B = 1
Page 1551 and 1552:
Example SURVIVAL 1551 SURVIVAL ONSS
Page 1553 and 1554:
SURVIVAL 1553 can be listed on COMP
Page 1555 and 1556:
SURVIVAL 1555 one for censored case
Page 1557 and 1558:
Table 2 Record type 20, produced by
Page 1559 and 1560:
SYSFILE INFO SYSFILE INFO [FILE=]
Page 1561 and 1562:
TDISPLAY Overview Options Basic Spe
Page 1563 and 1564:
TEMPORARY TEMPORARY Example SORT CA
Page 1565 and 1566:
Example TEMPORARY 1565 GET FILE=HUB
Page 1567 and 1568:
Example • TITLE is independent of
Page 1569 and 1570:
Operations TSET 1569 • TSET takes
Page 1571 and 1572:
TSHOW TSHOW Example TSHOW. Overview
Page 1573 and 1574:
Options TSPLOT 1573 Modifying the V
Page 1575 and 1576:
VARIABLES Subcommand TSPLOT 1575 VA
Page 1577 and 1578:
FORMAT Subcommand TSPLOT 1577 FORMA
Page 1579 and 1580:
Figure 5 FORMAT=HILO MARK Subcomman
Page 1581 and 1582:
T-TEST Overview Options One-sample
Page 1583 and 1584:
Example T-TEST 1583 • This indepe
Page 1585 and 1586:
T-TEST 1585 ANALYSIS Delete cases w
Page 1587 and 1588:
Basic Specification 2SLS 1587 The b
Page 1589 and 1590:
CONSTANT and NOCONSTANT Subcommands
Page 1591 and 1592:
2SLS 1591
Page 1593 and 1594:
TWOSTEP CLUSTER 1593 the first stag
Page 1595 and 1596:
CRITERIA Subcommand TWOSTEP CLUSTER
Page 1597 and 1598:
NOSTANDARDIZE Subcommand TWOSTEP CL
Page 1599 and 1600:
Examples TWOSTEP CLUSTER /CONTINUOU
Page 1601 and 1602:
UNIANOVA UNIANOVA dependent var [BY
Page 1603 and 1604:
UNIANOVA 1603 the keyword EXCLUDE o
Page 1605 and 1606:
UNIANOVA 1605 • The keyword INTER
Page 1607 and 1608:
UNIANOVA 1607 INCLUDE Include the i
Page 1609 and 1610:
Example UNIANOVA 1609 UNIANOVA DEP
Page 1611 and 1612:
LMATRIX Subcommand UNIANOVA 1611 Th
Page 1613 and 1614:
CONTRAST Subcommand UNIANOVA 1613 C
Page 1615 and 1616:
POSTHOC Subcommand UNIANOVA 1615 PO
Page 1617 and 1618:
UNIANOVA 1617 • Multiple POSTHOC
Page 1619 and 1620:
UNIANOVA 1619 COMPARE ADJ(method) P
Page 1621 and 1622:
UNIANOVA 1621 • To include the in
Page 1623 and 1624:
UPDATE 1623 Variable Flag. You can
Page 1625 and 1626:
UPDATE 1625 • BY specifies the ke
Page 1627 and 1628:
Example UPDATE 1627 UPDATE FILE=MAS
Page 1629 and 1630:
USE USE [{start date }] [THRU [{end
Page 1631 and 1632:
USE 1631 • This command selects o
Page 1633 and 1634:
VALUE LABELS Overview VALUE LABELS
Page 1635 and 1636:
Example VALUE LABELS 1635 • Label
Page 1637 and 1638:
VARCOMP 1637 Tuning the Algorithm.
Page 1639 and 1640:
VARCOMP 1639 INCLUDE Include the in
Page 1641 and 1642:
VARCOMP 1641 CORB Correlation matri
Page 1643 and 1644:
VARIABLE ALIGNMENT VARIABLE ALIGNME
Page 1645 and 1646:
Operations Example Example Example
Page 1647 and 1648:
VARIABLE WIDTH VARIABLE WIDTH varli
Page 1649 and 1650:
Basic Specification VARSTOCASES 164
Page 1651 and 1652:
ID Subcommand VARSTOCASES 1651 The
Page 1653 and 1654:
VARSTOCASES 1653 • The basic spec
Page 1655 and 1656:
VECTOR VECTOR {vector name=varlist
Page 1657 and 1658:
VECTOR 1657 • The first COMPUTE c
Page 1659 and 1660:
VECTOR 1659 • In this example, th
Page 1661 and 1662:
VERIFY VERIFY [VARIABLES=series nam
Page 1663 and 1664:
WEIGHT WEIGHT {BY varname} {OFF } E
Page 1665 and 1666:
WLS Overview Options WLS is availab
Page 1667 and 1668:
WLS 1667 • WGT#1 is not created w
Page 1669 and 1670:
Example WLS 1669 WLS SHARES WITH PR
Page 1671 and 1672:
WRITE WRITE [OUTFILE=file] [RECORDS
Page 1673 and 1674:
Example WRITE 1673 WRITE OUTFILE=PR
Page 1675 and 1676:
WRITE 1675 • WRITE writes the val
Page 1677 and 1678:
Operations Example WRITE FORMATS 16
Page 1679 and 1680:
XSAVE XSAVE OUTFILE=’filespec’
Page 1681 and 1682:
Limitations Example • Maximum 10
Page 1683 and 1684:
XSAVE 1683 • RENAME does not affe
Page 1686 and 1687:
1686 XSAVE
Page 1688 and 1689:
1688 Appendix A A session must go t
Page 1690 and 1691:
1690 Appendix A Table A.1 Commands
Page 1692 and 1693:
1692 Appendix A Table A.1 Commands
Page 1694 and 1695:
1694 Appendix A Table A.2 Taxonomy
Page 1696 and 1697:
1696 Appendix B Position Graphic Ma
Page 1698 and 1699:
Page 1700 and 1701:
Page 1703 and 1704:
Appendix C Defining Complex Files M
Page 1705 and 1706:
Figure C.3 File NESTED.DAT Y 1988 R
Page 1707 and 1708:
Grouped Data Defining Complex Files
Page 1709 and 1710:
• END FILE TYPE signals the end o
Page 1711 and 1712:
Defining Complex Files 1711 tion, t
Page 1713 and 1714:
Figure C.9 LIST output for reading
Page 1715 and 1716:
Defining Complex Files 1715 • DAT
Page 1717 and 1718:
Appendix D Using the Macro Facility
Page 1719 and 1720:
Using the Macro Facility 1719 • T
Page 1721 and 1722:
Using the Macro Facility 1721 • I
Page 1723 and 1724:
Using the Macro Facility 1723 • I
Page 1725 and 1726:
Using the Macro Facility 1725 • C
Page 1727 and 1728:
Figure D.14 !CORRTST macro with lis
Page 1729 and 1730:
Figure D.17 Descriptive statistics
Page 1731:
Using the Macro Facility 1731 Figur
Page 1734 and 1735:
1734 Appendix A Missing Values Sinc
Page 1736 and 1737:
1736 Appendix A are specified on an
Page 1738 and 1739:
1738 Appendix A Models The models s
Page 1740 and 1741:
1740 Subject Index arctangent funct
Page 1742 and 1743:
1742 Subject Index sampling, 1446 s
Page 1744 and 1745:
1744 Subject Index target variable,
Page 1746 and 1747:
1746 Subject Index in Spectral Plot
Page 1748 and 1749:
1748 Subject Index dichotomies, 102
Page 1750 and 1751:
1750 Subject Index drop-line charts
Page 1752 and 1753:
1752 Subject Index Fisher’s class
Page 1754 and 1755:
1754 Subject Index GLM Univariate,
Page 1756 and 1757:
1756 Subject Index in Multidimensio
Page 1758 and 1759:
1758 Subject Index kurtosis in Desc
Page 1760 and 1761:
1760 Subject Index expected frequen
Page 1762 and 1763:
1762 Subject Index in Autoregressio
Page 1764 and 1765:
1764 Subject Index analysis of vari
Page 1766 and 1767:
1766 Subject Index one-sample t tes
Page 1768 and 1769:
1768 Subject Index in loglinear ana
Page 1770 and 1771:
1770 Subject Index r in Means proce
Page 1772 and 1773:
1772 Subject Index in Multidimensio
Page 1774 and 1775:
1774 Subject Index smoothing functi
Page 1776 and 1777:
1776 Subject Index sum of squares T
Page 1778 and 1779:
1778 Subject Index 1164, 1616, 1617
Page 1780 and 1781:
1780 Subject Index including consta
Page 1782 and 1783:
1782 Syntax Index $COUNT (keyword)
Page 1784 and 1785:
1784 Syntax Index PRINT subcommand,
Page 1786 and 1787:
1786 Syntax Index with OVERALS comm
Page 1788 and 1789:
1788 Syntax Index BTAU (keyword) CR
Page 1790 and 1791:
1790 Syntax Index CCW (keyword) IGR
Page 1792 and 1793:
1792 Syntax Index nonlinear constra
Page 1794 and 1795:
1794 Syntax Index CONVERGENCE (subc
Page 1796 and 1797:
1796 Syntax Index CPL (keyword) SPC
Page 1798 and 1799:
1798 Syntax Index MRSETS subcommand
Page 1800 and 1801:
1800 Syntax Index DEFFSQRT (keyword
Page 1802 and 1803:
1802 Syntax Index DIFFERENCE (keywo
Page 1804 and 1805:
1804 Syntax Index DROP (subcommand)
Page 1806 and 1807:
1806 Syntax Index ERRORS (subcomman
Page 1808 and 1809:
1808 Syntax Index ORTHOPLAN command
Page 1810 and 1811:
1810 Syntax Index FORMATS (subcomma
Page 1812 and 1813:
1812 Syntax Index GET TRANSLATE (co
Page 1814 and 1815:
1814 Syntax Index GSCH (function) M
Page 1816 and 1817:
1816 Syntax Index IDENT (function)
Page 1818 and 1819:
1818 Syntax Index INITTHRESHOLD (ke
Page 1820 and 1821:
1820 Syntax Index PLOT subcommand,
Page 1822 and 1823:
1822 Syntax Index CSTABULATE comman
Page 1824 and 1825:
1824 Syntax Index MACROS (keyword)
Page 1826 and 1827:
1826 Syntax Index scientific notati
Page 1828 and 1829:
1828 Syntax Index SHOW command, 150
Page 1830 and 1831:
1830 Syntax Index MODEIMPU (keyword
Page 1832 and 1833:
1832 Syntax Index SHOW command, 150
Page 1834 and 1835:
1834 Syntax Index MFI keyword, 1073
Page 1836 and 1837:
1836 Syntax Index MH subcommand, 10
Page 1838 and 1839:
1838 Syntax Index UNIANOVA command,
Page 1840 and 1841:
1840 Syntax Index T-TEST command, 1
Page 1842 and 1843:
1842 Syntax Index PLANCARDS (comman
Page 1844 and 1845:
1844 Syntax Index PPS_MURTHY (keywo
Page 1846 and 1847:
1846 Syntax Index PROFILES (keyword
Page 1848 and 1849:
1848 Syntax Index RATE (subcommand)
Page 1850 and 1851:
1850 Syntax Index MATCH FILES comma
Page 1852 and 1853:
1852 Syntax Index ROTATE (keyword)
Page 1854 and 1855:
1854 Syntax Index RELIABILITY comma
Page 1856 and 1857:
1856 Syntax Index MNEST subcommand,
Page 1858 and 1859:
1858 Syntax Index PLUM command, 121
Page 1860 and 1861:
1860 Syntax Index SQ (subcommand) A
Page 1862 and 1863:
1862 Syntax Index MEANS command, 98
Page 1864 and 1865:
1864 Syntax Index with SPLIT FILE c
Page 1866 and 1867:
1866 Syntax Index SPLIT subcommand,
Page 1868 and 1869:
1868 Syntax Index ZRESID keyword, 1
Page 1870 and 1871:
1870 Syntax Index LOGISTIC REGRESSI
Page 1872 and 1873:
1872 Syntax Index WITH (keyword) AN
Page 1874:
1874 Syntax Index
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SPSS® 12.0 Command Syntax Reference

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