SPSS® 12.0 Command Syntax Reference

More documents

Recommendations

Info

1610 UNIANOVA Example UNIANOVA DEP BY A B /PLOT = SPREADLEVEL PROFILE(A A*B A*B*C) /DESIGN. Assume each of the factors A, B, and C has three levels. • Spread-versus-level plots are produced showing observed cell means versus standard deviations and observed cell means versus variances. • Five profile plots are produced. For factor A, a line plot of estimated means at each level of A is produced (one plot). For the two-way crossed factor combination A*B, a multipleline plot of estimated means at each level of A, with a separate line for each level of B, is produced (one plot). For the three-way crossed factor combination A*B*C, a multiple-line plot of estimated means at each level of A, with a separate line for each level of B, is produced for each of the three levels of C (three plots). TEST Subcommand The TEST subcommand allows you to test a hypothesis term against a specified error term. • TEST is valid only for univariate analyses. Multiple TEST subcommands are allowed, each executed independently. • You must specify both the hypothesis term and the error term. There is no default. • The hypothesis term is specified before the keyword VS. It must be a valid effect specified or implied on the DESIGN subcommand. • The error term is specified after the keyword VS. You can specify either a linear combination or a value. The linear combination of effects takes the general form: coefficient*effect +/– coefficient*effect ... • All effects in the linear combination must be specified or implied on the DESIGN subcommand. Effects specified or implied on DESIGN but not listed after VS are assumed to have a coefficient of 0. • Duplicate effects are allowed. UNIANOVA adds coefficients associated with the same effect before performing the text. For example, the linear combination 5*A–0.9*B–A will be combined to 4*A–0.9B. • A coefficient can be specified as a fraction with a positive denominator—for example, 1/3 or –1/3, but 1/–3 is invalid. • If you specify a value for the error term, you must specify the degrees of freedom after the keyword DF. The degrees of freedom must be a positive real number. DF and the degrees of freedom are optional for a linear combination. Example UNIANOVA DEP BY A B /TEST = A VS B + A*B /DESIGN = A, B, A*B. • A is tested against the pooled effect of B + A*B.
LMATRIX Subcommand UNIANOVA 1611 The LMATRIX subcommand allows you to customize your hypotheses tests by specifying the L matrix (contrast coefficients matrix) in the general form of the linear hypothesis LB = K, where K = 0 if it is not specified on the KMATRIX subcommand. The vector B is the parameter vector in the linear model. • The basic format for the LMATRIX subcommand is an optional label in quotation marks, an effect name or the keyword ALL, and a list of real numbers. There can be multiple effect names (or the keyword ALL) and number lists. • The optional label is a string with a maximum length of 255 characters. Only one label can be specified. • Only valid effects appearing or implied on the DESIGN subcommand can be specified on the LMATRIX subcommand. • The length of the list of real numbers must be equal to the number of parameters (including the redundant ones) corresponding to that effect. For example, if the effect A*B takes up six columns in the design matrix, then the list after A*B must contain exactly six numbers. • A number can be specified as a fraction with a positive denominator—for example, 1/3 or –1/3, but 1/–3 is invalid. • A semicolon (;) indicates the end of a row in the L matrix. • When ALL is specified, the length of the list that follows ALL is equal to the total number of parameters (including the redundant ones) in the model. • Effects appearing or implied on the DESIGN subcommand but not specified here are assumed to have entries of 0 in the corresponding columns of the L matrix. • Multiple LMATRIX subcommands are allowed. Each is treated independently. Example UNIANOVA DEP BY A B /LMATRIX = “B1 vs B2 at A1” B 1 -1 0 A*B 1 -1 0 0 0 0 0 0 0 /LMATRIX = “Effect A” A 1 0 -1 A*B 1/3 1/3 1/3 0 0 0 -1/3 -1/3 -1/3; A 0 1 -1 A*B 0 0 0 1/3 1/3 1/3 -1/3 -1/3 -1/3 /LMATRIX = “B1 vs B2 at A2” ALL 0 0 0 0 1 -1 0 0 0 0 1 -1 0 0 0 0 /DESIGN = A, B, A*B. Assume that factors A and B each have three levels. There are three LMATRIX subcommands; each is treated independently.
Page 1 and 2:
SPSS® 12.0 Command Syntax Referenc
Page 3 and 4:
Universals This part of the SPSS Sy
Page 5 and 6:
Commands 5 before processing. All u
Page 7 and 8:
Commands 7 • Subcommands begin wi
Page 9 and 10:
Commands 9 • Transformation comma
Page 11 and 12:
Files SPSS reads, creates, and writ
Page 13 and 14:
SPSS-Format Data File Files 13 An S
Page 15 and 16:
SPSS Matrix Data Files Files 15 An
Page 17 and 18:
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 72 and 73:
72 ACF and DIFF subcommands. With s
Page 74 and 75:
74 ACF SDIFF Subcommand If the seri
Page 76 and 77:
76 ACF SERROR Subcommand SERROR spe
Page 78 and 79:
ADD DOCUMENT ADD DOCUMENT ’text
Page 80 and 81:
ADD FILES ADD FILES FILE={file} {*
Page 82 and 83:
82 ADD FILES • The resulting file
Page 84 and 85:
84 ADD FILES • Input data files a
Page 86 and 87:
86 ADD FILES FIRST and LAST Subcomm
Page 88 and 89:
88 ADD VALUE LABELS • The added v
Page 90 and 91:
AGGREGATE AGGREGATE OUTFILE={file}
Page 92 and 93:
92 AGGREGATE Example Example • If
Page 94 and 95:
94 AGGREGATE Example AGGREGATE OUTF
Page 96 and 97:
96 AGGREGATE FIN(varlist,value1,val
Page 98 and 99:
98 AGGREGATE • User-missing value
Page 100 and 101:
ALSCAL ALSCAL VARIABLES=varlist [/F
Page 102 and 103:
102 ALSCAL Operations • ALSCAL ca
Page 104 and 105:
104 ALSCAL ASYMMETRIC Asymmetric da
Page 106 and 107:
106 ALSCAL • INITIAL is the defau
Page 108 and 109:
108 ALSCAL differences model propos
Page 110 and 111:
110 ALSCAL • Algorithmic options
Page 112 and 113:
112 ALSCAL Table 2 Types of configu
Page 114 and 115:
Matrix mode Object by object 114 AL
Page 116 and 117:
Matrix mode Object by object Object
Page 118 and 119:
118 Syntax Reference Basic Specific
Page 120 and 121:
120 Syntax Reference Example DATA L
Page 122 and 123:
122 Syntax Reference PLOT Subcomman
Page 124 and 125:
124 Syntax Reference VARNAME_ Strin
Page 127 and 128:
ANOVA ANOVA [VARIABLES=] varlist BY
Page 129 and 130:
Example Example ANOVA 129 ANOVA VAR
Page 131 and 132:
ANOVA 131 Some restrictions apply t
Page 133 and 134:
Table 2 Combinations of COVARIATES
Page 135 and 136:
Multiple Classification Analysis AN
Page 137 and 138:
APPLY DICTIONARY 137 • The applie
Page 139 and 140:
APPLY DICTIONARY 139 target file as
Page 141 and 142:
APPLY DICTIONARY 141 MRSETS = MERGE
Page 143 and 144:
APPLY DICTIONARY 143
Page 145 and 146:
Options Basic Specification Subcomm
Page 147 and 148:
• Only one method can be specifie
Page 149 and 150:
APPLY Subcommand AREG 149 • Itera
Page 151 and 152:
AREG 151
Page 153 and 154:
Options Basic Specification ARIMA 1
Page 155 and 156:
Limitations Example ARIMA 155 • F
Page 157 and 158:
D Order of differencing. Q Moving-a
Page 159 and 160:
Termination Criteria Subcommands CI
Page 161 and 162:
References ARIMA 161 Akaike, H. 197
Page 163 and 164:
Subcommand Order • VARIABLES must
Page 165 and 166:
Example AUTORECODE 165 DATA LIST /
Page 167 and 168:
BEGIN DATA—END DATA BEGIN DATA da
Page 169 and 170:
BREAK BREAK Overview BREAK controls
Page 171 and 172:
CASEPLOT Overview CASEPLOT [VARIABL
Page 173 and 174:
Subcommand Order • Subcommands ca
Page 175 and 176:
LN and NOLOG Subcommands CASEPLOT 1
Page 177 and 178:
CASEPLOT 177 erence line. Figure 3
Page 179 and 180:
CASEPLOT 179 • If FORMAT=REFERENC
Page 181 and 182:
Options CASESTOVARS 181 Automatic c
Page 183 and 184:
The commands: CASESTOVARS 183 SPLIT
Page 185 and 186:
create a new file with the followin
Page 187 and 188:
SEPARATOR Subcommand CASESTOVARS 18
Page 189 and 190:
CATPCA CATPCA is available in the C
Page 191 and 192:
Optional output. You can request op
Page 193 and 194:
CATPCA 193 • The NORMALIZATION su
Page 195 and 196:
SPORD and SPNOM Keywords The follow
Page 197 and 198:
ACTIVE Keyword The ACTIVE keyword h
Page 199 and 200:
MAXITER Subcommand CATPCA 199 MAXIT
Page 201 and 202:
CATPCA 201 The keyword TO in a vari
Page 203 and 204:
TRIPLOT(varlist(varlist))(n) CATPCA
Page 205 and 206:
CATPCA 205 procedures with the succ
Page 207 and 208:
CATREG Overview CATREG is available
Page 209 and 210:
Operations Limitations CATREG 209
Page 211 and 212:
ANALYSIS Subcommand LEVEL Keyword C
Page 213 and 214:
GROUPING Keyword DISTR Keyword MISS
Page 215 and 216:
PRINT Subcommand CATREG 215 The PRI
Page 217 and 218:
SAVE Subcommand OUTFILE Subcommand
Page 219 and 220:
CCF Overview Options CCF [VARIABLES
Page 221 and 222:
CCF 221 • LN transforms the data
Page 223 and 224:
CCF 223 • If a natural log transf
Page 225 and 226:
CLEAR TRANSFORMATIONS Overview CLEA
Page 227 and 228:
Example Overview Options CLUSTER V1
Page 229 and 230:
CLUSTER 229 • The variable list i
Page 231 and 232:
Measures for Binary Data CLUSTER 23
Page 233 and 234:
DICE[(p[,np])] Dice (or Czekanowski
Page 235 and 236:
Y( x, y) ad - bc = ----------------
Page 237 and 238:
CLUSTER 237 MEDIAN Median clusterin
Page 239 and 240:
CLUSTER 239 • This example displa
Page 241 and 242:
Matrix Input CLUSTER 241 • The ma
Page 243 and 244:
Example Example Example DATA LIST F
Page 245 and 246:
COMMENT {COMMENT} text { * } Overvi
Page 247 and 248:
Cumulative distribution functions (
Page 249 and 250:
Cumulative distribution functions (
Page 251 and 252:
Logical functions: RANGE(varname,ra
Page 253 and 254:
String Transformations COMPUTE 253
Page 255 and 256:
Examples COMPUTE 255 • The string
Page 257 and 258:
COMPUTE 257 • Alternatively, you
Page 259 and 260:
Equivalence COMPUTE 259 STRING DEPT
Page 261 and 262:
CONJOINT Overview CONJOINT is avail
Page 263 and 264:
CONJOINT 263 the experimental profi
Page 265 and 266:
CONJOINT 265 • The ADD FILES comm
Page 267 and 268:
CONJOINT 267 subject is asked to as
Page 269 and 270:
CONJOINT 269 • New value labels a
Page 271 and 272:
PLOT Subcommand CONJOINT 271 The PL
Page 273 and 274:
Basic Specification CORRELATIONS 27
Page 275 and 276:
MISSING Subcommand CORRELATIONS 275
Page 277 and 278:
Example CORRELATIONS 277 • CORREL
Page 279 and 280:
CORRESPONDENCE CORRESPONDENCE is av
Page 281 and 282:
Syntax Rules Operations Limitations
Page 283 and 284:
DIMENSION Subcommand CORRESPONDENCE
Page 285 and 286:
CORRESPONDENCE 285 EUCLID Euclidean
Page 287 and 288:
PLOT Subcommand NONE No output othe
Page 289 and 290:
CORRESPONDENCE 289 DIM1...DIMn Nume
Page 291 and 292:
COUNT COUNT varname=varlist(value l
Page 293 and 294:
COXREG COXREG is available in the A
Page 295 and 296:
Basic Specification COXREG 295 •
Page 297 and 298:
VARIABLES Subcommand COXREG 297 VAR
Page 299 and 300:
COXREG 299 • If the categorical v
Page 301 and 302:
COXREG 301 BSTEP Backward stepwise.
Page 303 and 304:
CRITERIA Subcommand COXREG 303 CRIT
Page 305 and 306:
COXREG 305 TABLE Write the survival
Page 307 and 308:
CREATE CREATE new series={CSUM (ser
Page 309 and 310:
Example CREATE NEWVAR1 = DIFF(OLDVA
Page 311 and 312:
LAG Function CREATE 311 LAG creates
Page 313 and 314:
Example CREATE TICKMA = MA(TICKETS,
Page 315 and 316:
T4253H Function CREATE 315 T4253H p
Page 317 and 318:
Overview Options CROSSTABS 317 CROS
Page 319 and 320:
Example CROSSTABS 319 • The varia
Page 321 and 322:
CROSSTABS 321 • VARIABLES names t
Page 323 and 324:
CROSSTABS 323 CORR Display Pearson
Page 325 and 326:
FORMAT Subcommand CROSSTABS 325 By
Page 327 and 328:
CROSSTABS 327 • The split-file gr
Page 329 and 330:
CROSSTABS 329
Page 331 and 332:
Operations CSDESCRIPTIVES 331 • C
Page 333 and 334:
CSDESCRIPTIVES 333 • Plan file an
Page 335 and 336:
CSDESCRIPTIVES 335 • The set of s
Page 337 and 338:
CSDESCRIPTIVES 337
Page 339 and 340:
CSSELECT 339 inclusion probabilitie
Page 341 and 342:
PLAN Subcommand CSSELECT 341 The PL
Page 343 and 344:
Example CSPLAN /PLAN OUTFILE=’c:\
Page 345 and 346:
CSSELECT 345
Page 347 and 348:
Design Block: Stages 2 and 3 CSPLAN
Page 349 and 350:
Example Overview Options CSPLAN SAM
Page 351 and 352:
CSPLAN 351 • A PLAN subcommand is
Page 353 and 354:
Stratified sample design CSPLAN SAM
Page 355 and 356:
CSPLAN 355 • The variable samplew
Page 357 and 358:
CSPLAN 357 Typically the previous w
Page 359 and 360:
CSPL AN 359 • CLUSTER is required
Page 361 and 362:
SIZE Subcommand CSPLAN 361 The SIZE
Page 363 and 364:
MINSIZE Keyword CSPLAN 363 MINSIZE
Page 365 and 366:
Keyword Default Root Name Descripti
Page 367 and 368:
CSPLAN 367 strata only the last one
Page 369 and 370:
CSPLAN 369
Page 371 and 372:
CSTABULATE 371 • This specificati
Page 373 and 374:
CSTABULATE 373 on the left defines
Page 375 and 376:
CSTABULATE 375 • For example, /SU
Page 377 and 378:
ADJUST= {BONFERRONI} ORIGIN=COLUMN
Page 379 and 380:
Example Think of self as liberal or
Page 381 and 382:
Example CTABLES /TABLE HAPPY. Gener
Page 383 and 384:
Scale Variables CTABLES 383 Scale v
Page 385 and 386:
CTABLES 385 • Each summary functi
Page 387 and 388:
Table 2 Summary functions: scale va
Page 389 and 390:
Table 3 Summary functions: multiple
Page 391 and 392:
Missing Values in Summaries CTABLES
Page 393 and 394:
Example CTABLES 393 CTABLES /TABLE
Page 395 and 396:
CTABLES 395 • The SUBTOTAL keywor
Page 397 and 398:
Totals Example CTABLES /TABLE AGE [
Page 399 and 400:
CTABLES 399 CORNER Corner text. Cor
Page 401 and 402:
Pairwise Comparisons of Proportions
Page 403 and 404:
CTABLES 403 EMPTY Fill characters u
Page 405 and 406:
CURVEFIT CURVEFIT [VARIABLES=] varn
Page 407 and 408:
Operations CURVEFIT 407 • When CU
Page 409 and 410:
CURVEFIT 409 • This command fits
Page 411 and 412:
APPLY Subcommand CURVEFIT 411 APPLY
Page 413 and 414:
Example Overview Options Week and y
Page 415 and 416:
Fixed-Format Data DATA LIST 415 •
Page 417 and 418:
DATA LIST 417 LIST Freefield data w
Page 419 and 420:
DATA LIST 419 • RECORDS can be us
Page 421 and 422:
Example DATA LIST 421 INPUT PROGRAM
Page 423 and 424:
Variable Names DATA LIST 423 • Va
Page 425 and 426:
Example * Mixing column-style and F
Page 427 and 428:
DATA LIST 427 • For freefield dat
Page 429 and 430:
DATA LIST 429 • The width (w) por
Page 431 and 432:
DATE DATE keyword [starting value [
Page 433 and 434:
DATE 433 • The starting value is
Page 435 and 436:
DATE 435 • For DAY_, the starting
Page 437 and 438:
Example 5 DATE Y 1950 Q 2 M. DATE 4
Page 439 and 440:
The following is a partial listing
Page 441 and 442:
Example DEFINE sesvars () age sex e
Page 443 and 444:
Example Example * Macro without arg
Page 445 and 446:
DEFINE—!ENDDEFINE 445 • The mac
Page 447 and 448:
DEFINE—!ENDDEFINE 447 • This ex
Page 449 and 450:
Example * Keyword !CHAREND. DEFINE
Page 451 and 452:
DEFINE—!ENDDEFINE 451 !DEFAULT De
Page 453 and 454:
DEFINE—!ENDDEFINE 453 !HEAD (str)
Page 455 and 456:
Conditional Processing DEFINE—!EN
Page 457 and 458:
DEFINE—!ENDDEFINE 457 • The fir
Page 459 and 460:
DEFINE—!ENDDEFINE 459
Page 461 and 462:
DESCRIPTIVES Overview Options DESCR
Page 463 and 464:
Z Scores DESCRIPTIVES 463 The z-sco
Page 465 and 466:
MAX Maximum observed value. SUM Sum
Page 467 and 468:
DISCRIMINANT DISCRIMINANT GROUPS=va
Page 469 and 470:
Basic Specification DISCRIMINANT 46
Page 471 and 472:
DISCRIMINANT 471 • Variables shou
Page 473 and 474:
Example DISCRIMINANT 473 DISCRIMINA
Page 475 and 476:
DISCRIMINANT 475 • You can set FI
Page 477 and 478:
SAVE Subcommand DISCRIMINANT 477 SA
Page 479 and 480:
STATISTICS Subcommand DISCRIMINANT
Page 481 and 482:
• The default keywords for CLASSI
Page 483 and 484:
Matrix Input DISCRIMINANT 483 recor
Page 485 and 486:
Example Example Example * Use matri
Page 487 and 488:
DISPLAY DISPLAY [SORTED] [{NAMES**
Page 489 and 490:
DISPLAY 489 • If the keyword SORT
Page 491 and 492:
Example Example DOCUMENT 491 • If
Page 493 and 494:
Overview DO IF 493 The DO IF—END
Page 495 and 496:
Flow of Control DO IF 495 • If th
Page 497 and 498:
Example DO IF 497 DO IF (YRHIRED GT
Page 499 and 500:
Nested DO IF Structures DO IF 499 T
Page 501 and 502:
DO REPEAT—END REPEAT DO REPEAT st
Page 503 and 504:
Example DO REPEAT—END REPEAT 503
Page 505 and 506:
Figure 2 Output from the PRINT subc
Page 507 and 508:
ECHO ECHO "text". Example Overview
Page 509 and 510:
Operations Example END CASE 509 •
Page 511 and 512:
END CASE 511 • Data are extracted
Page 513 and 514:
END CASE 513 BEGIN DATA 1 AC 91 2 C
Page 515 and 516:
END CASE 515 • The frequencies ta
Page 517 and 518:
Example Example *Select cases. INPU
Page 519 and 520:
EXAMINE EXAMINE VARIABLES=varlist [
Page 521 and 522:
Example EXAMINE VARIABLES=MIPERGAL
Page 523 and 524:
• The method keywords follow the
Page 525 and 526:
STATISTICS Subcommand EXAMINE 525 S
Page 527 and 528:
EXAMINE 527 PAIRWISE Delete cases w
Page 529 and 530:
EXPORT EXPORT OUTFILE=file [/TYPE={
Page 531 and 532:
EXPORT 531 • Tape density—200,
Page 533 and 534:
DROP and KEEP Subcommands EXPORT 53
Page 535 and 536:
EXSMOOTH EXSMOOTH is available in t
Page 537 and 538:
Subcommand Order Syntax Rules Opera
Page 539 and 540:
Table 1 Models for different types
Page 541 and 542:
Example EXSMOOTH 541 EXSMOOTH VAR2
Page 543 and 544:
INITIAL Subcommand EXSMOOTH 543 •
Page 545 and 546:
References EXSMOOTH 545 • The fir
Page 547 and 548:
Example Overview Options FACTOR VAR
Page 549 and 550:
Operations Example FACTOR 549 • V
Page 551 and 552:
FACTOR 551 • By default, FACTOR u
Page 553 and 554:
FACTOR 553 DET Determinant of the c
Page 555 and 556:
• The factor pattern matrix is ro
Page 557 and 558:
ROTATION Subcommand FACTOR 557 ROTA
Page 559 and 560:
FACTOR 559 • The ROTATION subcomm
Page 561 and 562:
Example Example Example Example FAC
Page 563 and 564:
FACTOR 563 Jöreskog, K. G. 1977. F
Page 565 and 566:
MULTIPUNCH Column binary file. IMAG
Page 567 and 568:
FILE TYPE—END FILE TYPE For mixed
Page 569 and 570:
Syntax Rules FILE TYPE—END FILE T
Page 571 and 572:
Example * A grouped file of student
Page 573 and 574:
FILE TYPE—END FILE TYPE 573 GROUP
Page 575 and 576:
FILE TYPE—END FILE TYPE 575 • T
Page 577 and 578:
FILE TYPE—END FILE TYPE 577 • T
Page 579 and 580:
FILE TYPE—END FILE TYPE 579 WARN
Page 581 and 582:
FILE TYPE—END FILE TYPE 581 BEGIN
Page 583 and 584:
Example FILTER 583 • Both system-
Page 585 and 586:
Example * A command file. FINISH 58
Page 587 and 588:
Syntax Rules FIT 587 • If OBS is
Page 589 and 590:
FLIP FLIP [[VARIABLES=] {ALL }] {va
Page 591 and 592:
FLIP 591 Example Using the untransp
Page 593 and 594:
FORMATS FORMATS varlist(format) [va
Page 595 and 596:
Table 1 Output data formats (Contin
Page 597 and 598:
FREQUENCIES FREQUENCIES [VARIABLES=
Page 599 and 600:
Example FREQUENCIES 599 • FREQUEN
Page 601 and 602:
FREQUENCIES 601 • MISSING and NOM
Page 603 and 604:
Example FREQUENCIES 603 FREQUENCIES
Page 605 and 606:
Example FREQUENCIES VAR=AGE /STATS=
Page 607 and 608:
Options GENLOG 607 mates for unsatu
Page 609 and 610:
GENLOG 609 • To separate the inde
Page 611 and 612:
GENLOG 611 • For each effect, GEN
Page 613 and 614:
GENLOG 613 DESIGN The design matrix
Page 615 and 616:
GENLOG 615 • The saved variables
Page 617 and 618:
GET GET FILE=file [/KEEP={ALL** }]
Page 619 and 620:
GET 619 • Variables can be specif
Page 621 and 622:
GET CAPTURE GET CAPTURE {ODBC }* [/
Page 623 and 624:
GET CAPTURE 623 • You can display
Page 625 and 626:
Overview GET DATA 625 GET DATA read
Page 627 and 628:
READNAMES Subcommand GET DATA 627 O
Page 629 and 630:
QUALIFIER Subcommand GET DATA 629 T
Page 631 and 632:
GET SAS Overview Options GET SAS DA
Page 633 and 634:
GET SAS 633 • Value labels read f
Page 635 and 636:
GET TRANSLATE GET TRANSLATE FILE=fi
Page 637 and 638:
GET TRANSLATE 637 • The first row
Page 639 and 640:
GET TRANSLATE 639 • For string va
Page 641 and 642:
GET TRANSLATE 641 • RANGE cannot
Page 643 and 644:
GLM: Overview GLM is available in t
Page 645 and 646:
GLM: Overview 645 • Display expec
Page 647 and 648:
Model 2: Fixed-effects ANOVA and MA
Page 649 and 650:
GLM: Overview 649 For univariate an
Page 651 and 652:
GLM: Univariate GLM is available in
Page 653 and 654:
Basic Specification GLM: Univariate
Page 655 and 656:
GLM: Univariate 655 • If you spec
Page 657 and 658:
INTERCEPT Subcommand GLM: Univariat
Page 659 and 660:
GLM: Univariate 659 LOF Perform a l
Page 661 and 662:
GLM: Univariate 661 • A coefficie
Page 663 and 664:
Example GLM: Univariate 663 GLM DEP
Page 665 and 666:
Example GLM: Univariate 665 GLM DEP
Page 667 and 668:
GLM: Univariate 667 • Multiple PO
Page 669 and 670:
COMPARE(factor) ADJ(method) GLM: Un
Page 671 and 672:
DESIGN Subcommand GLM: Univariate 6
Page 673 and 674:
Overview Options GLM: Multivariate
Page 675 and 676:
GLM: Multivariate 675 Residual cova
Page 677 and 678:
GLM: Repeated Measures GLM is avail
Page 679 and 680:
Subcommand Order • The list of de
Page 681 and 682:
GLM: Repeated Measures 681 • Leve
Page 683 and 684:
GLM: Repeated Measures 683 • WSFA
Page 685 and 686:
GLM: Repeated Measures 685 • Thes
Page 687 and 688:
GRAPH 687 The following table shows
Page 689 and 690:
GRAPH 689 NGT(x) Number of cases fo
Page 691 and 692:
• The default span (2) and sigma
Page 693 and 694:
GRAPH 693 Figure 3 /BAR=MEAN(SALBEG
Page 695 and 696:
GRAPH 695 Figure 9 /BAR(STACKED)=CO
Page 697 and 698:
LINE Subcommand GRAPH 697 LINE crea
Page 699 and 700:
Figure 19 /LINE=MEAN(THEFT AUTO BUR
Page 701 and 702:
Figure 25 /LINE(AREA)=COUNT BY TIME
Page 703 and 704:
Figure 31 LINE(DIFFERENCE)=VALUE(SA
Page 705 and 706:
GRAPH 705 the variable must be dich
Page 707 and 708:
ERRORBAR Subcommand GRAPH 707 ERROR
Page 709 and 710:
GRAPH 709 MATRIX Scatterplot matrix
Page 711 and 712:
Figure 49 /SCATTERPLOT(XYZ)=JOBCAT
Page 713 and 714:
Figure 52 PARETO(CUM SIMPLE)=SUM(DE
Page 715 and 716:
Elements and Attributes Dependent o
Page 717 and 718:
HILOGLINEAR Overview HILOGLINEAR is
Page 719 and 720:
Operations HILOGLINEAR 719 • HILO
Page 721 and 722:
Example HILOGLINEAR 721 HILOGLINEAR
Page 723 and 724:
Example * An Incomplete Rectangular
Page 725 and 726:
HILOGLINEAR 725 NONE No plots. Spec
Page 727 and 728:
HOMALS Overview Options HOMALS is a
Page 729 and 730:
Example HOMALS 729 Values outside o
Page 731 and 732:
HOMALS 731 The total number of vali
Page 733 and 734:
Example HOMALS 733 HOMALS VARIABLES
Page 735 and 736:
HOMALS 735 LEVEL String variable LE
Page 737 and 738:
Basic Specification IF 737 The basi
Page 739 and 740:
Example Example Example IF (AGE > 2
Page 741 and 742:
Example Example IF 741 tions on eve
Page 743 and 744:
{VERTICAL } {THREE } [/EFFECT={NONE
Page 745 and 746:
Overview Options IGRAPH 745 The int
Page 747 and 748:
CATORDER Subcommand IGRAPH 747 The
Page 749 and 750:
Example IGRAPH /VIEWNAME=’Scatter
Page 751 and 752:
CHARTLOOK Subcommand IGRAPH 751 CHA
Page 753 and 754:
FORMAT Subcommand IGRAPH 753 For ch
Page 755 and 756:
IGRAPH 755 The INTERPOLATE keyword
Page 757 and 758:
IGRAPH 757 START num Indicates the
Page 759 and 760:
Example IGRAPH /X1=VAR(region) TYPE
Page 761 and 762:
ERRORBAR Subcommand IGRAPH 761 Erro
Page 763 and 764:
IGRAPH 763 REGRESSION Fits a straig
Page 765 and 766:
IGRAPH 765 Number of Cases Less Tha
Page 767 and 768:
IMPORT IMPORT FILE=file [/TYPE={COM
Page 769 and 770:
IMPORT 769 • DROP excludes a vari
Page 771 and 772:
INCLUDE INCLUDE FILE=file Example O
Page 773 and 774:
INFO This command is not available
Page 775 and 776:
Types of Information The following
Page 777 and 778:
INPUT PROGRAM—END INPUT PROGRAM I
Page 779 and 780:
Example Example * Select cases with
Page 781 and 782:
KEYED DATA LIST KEYED DATA LIST KEY
Page 783 and 784:
Syntax Rules KEYED DATA LIST 783
Page 785 and 786:
Example * Reading a keyed file: rea
Page 787 and 788:
KM Overview KM is available in the
Page 789 and 790:
KM 789 • Only one status variable
Page 791 and 792:
STRATA Subcommand KM 791 STRATA ide
Page 793 and 794:
TEST Subcommand KM 793 TEST specifi
Page 795 and 796:
SAVE Subcommand KM 795 SAVE saves t
Page 797 and 798:
Example LEAVE 797 • Numeric varia
Page 799 and 800:
Operations Example Example LIST 799
Page 801 and 802:
LIST 801 • If SPLIT FILE is in ef
Page 803 and 804:
Temporary variables created by LOGI
Page 805 and 806:
Limitations Example LOGISTIC REGRES
Page 807 and 808:
LOGISTIC REGRESSION 807 DEVIATION(r
Page 809 and 810:
LOGISTIC REGRESSION 809 Wald statis
Page 811 and 812:
ID Subcommand LOGISTIC REGRESSION 8
Page 813 and 814:
LOGISTIC REGRESSION 813 • POUT re
Page 815 and 816:
LOGISTIC REGRESSION 815 • Assigne
Page 817 and 818:
LOGLINEAR 817 multiway contingency
Page 819 and 820:
Example Example Example Example LOG
Page 821 and 822:
LOGLINEAR 821 • To enter cell cov
Page 823 and 824:
CONTRAST Subcommand LOGLINEAR 823 C
Page 825 and 826:
Example * Contrasts for a logistic
Page 827 and 828:
Example LOGLINEAR RESPONSE(1,2) BY
Page 829 and 830:
Example * Equiprobability model LOG
Page 831 and 832:
Options LOOP—END LOOP 831 Missing
Page 833 and 834:
LOOP—END LOOP 833 • The program
Page 835 and 836:
LOOP—END LOOP 835 time, resulting
Page 837 and 838:
LOOP—END LOOP 837 • The loop is
Page 839 and 840:
MANOVA: Overview MANOVA is availabl
Page 841 and 842:
Overview Example 2 * Analysis of Co
Page 843 and 844:
MANOVA: Univariate MANOVA is availa
Page 845 and 846:
MANOVA: Univariate 845 in the model
Page 847 and 848:
MANOVA: Univariate 847 WITHIN Terms
Page 849 and 850:
MANOVA: Univariate 849 The specifie
Page 851 and 852:
MANOVA: Univariate 851 it generally
Page 853 and 854:
PARAMETERS Keyword MANOVA: Univaria
Page 855 and 856:
ERROR Keyword MANOVA: Univariate 85
Page 857 and 858:
RESIDUALS Subcommand MANOVA: Univar
Page 859 and 860:
MANOVA: Univariate 859 CELLPLOTS Ce
Page 861 and 862:
Split Files and Variable Order MANO
Page 863 and 864:
DESIGN Subcommand MANOVA: Univariat
Page 865 and 866:
MANOVA: Univariate 865 • The numb
Page 867 and 868:
MANOVA: Univariate 867 with similar
Page 869 and 870:
MANOVA: Multivariate MANOVA is avai
Page 871 and 872:
Limitations MANOVA: Multivariate 87
Page 873 and 874:
MANOVA: Multivariate 873 DEVIATION
Page 875 and 876:
MANOVA: Multivariate 875 • You mu
Page 877 and 878:
MANOVA: Multivariate 877 SINGLEDF S
Page 879 and 880:
MANOVA: Multivariate 879 ROTATE Rot
Page 881 and 882:
CONDITIONAL and UNCONDITIONAL Keywo
Page 883 and 884:
MANOVA: Repeated Measures 883 descr
Page 885 and 886:
MANOVA: Repeated Measures 885 • I
Page 887 and 888:
Example MANOVA: Repeated Measures 8
Page 889 and 890:
MANOVA: Repeated Measures 889 • A
Page 891 and 892:
1 MAPS MAPS {/GVAR = VAR(varname)[V
Page 893 and 894:
Operations 893 MAPS • Each MAPS c
Page 895 and 896:
895 MAPS • The total (sum) of sal
Page 897 and 898:
Example 897 MAPS standard deviation
Page 899 and 900:
Example 899 MAPS MAPS /GVAR = VAR(f
Page 901 and 902:
Example 901 MAPS MAPS /GVAR = VAR(c
Page 903:
Number of Cases Less Than (N of Cas
Page 906 and 907:
906 MATCH FILES Variable Names. You
Page 908 and 909:
908 MATCH FILES • If the files ha
Page 910 and 911:
910 MATCH FILES RENAME Subcommand R
Page 912 and 913:
912 MATCH FILES • FIRST creates a
Page 914 and 915:
914 MATRIX—END MATRIX INV Inverse
Page 916 and 917:
916 MATRIX—END MATRIX • A symme
Page 918 and 919:
918 MATRIX—END MATRIX Example {11
Page 920 and 921:
920 MATRIX—END MATRIX • All of
Page 922 and 923:
922 MATRIX—END MATRIX ** &* &/ &*
Page 924 and 925:
924 MATRIX—END MATRIX • The res
Page 926 and 927:
926 MATRIX—END MATRIX COMPUTE Sta
Page 928 and 929:
928 MATRIX—END MATRIX A = 111 111
Page 930 and 931:
930 MATRIX—END MATRIX DET(M) Dete
Page 932 and 933:
932 MATRIX—END MATRIX MOD(M,S) Re
Page 934 and 935:
934 MATRIX—END MATRIX and the num
Page 936 and 937:
936 MATRIX—END MATRIX • Constan
Page 938 and 939:
938 MATRIX—END MATRIX • The fir
Page 940 and 941:
940 MATRIX—END MATRIX • A logic
Page 942 and 943:
942 MATRIX—END MATRIX • The mat
Page 944 and 945:
944 MATRIX—END MATRIX FORMAT Spec
Page 946 and 947:
946 MATRIX—END MATRIX HOLD Specif
Page 948 and 949:
948 MATRIX—END MATRIX NAMES Speci
Page 950 and 951:
950 MATRIX—END MATRIX • If more
Page 952 and 953:
952 MATRIX—END MATRIX Valid keywo
Page 954 and 955:
954 MATRIX—END MATRIX • The mat
Page 956 and 957:
956 MATRIX—END MATRIX FNAMES Spec
Page 958 and 959:
MATRIX DATA MATRIX DATA VARIABLES=v
Page 960 and 961:
960 MATRIX DATA Table 1 summarizes
Page 962 and 963:
962 MATRIX DATA Example • No othe
Page 964 and 965:
964 MATRIX DATA Example * Matrix da
Page 966 and 967:
966 MATRIX DATA • ROWTYPE_ is spe
Page 968 and 969:
968 MATRIX DATA FULL do not enter t
Page 970 and 971:
970 MATRIX DATA • The split varia
Page 972 and 973:
972 MATRIX DATA Example MATRIX DATA
Page 974 and 975:
974 MATRIX DATA Within-Cells Record
Page 976 and 977:
976 MATRIX DATA • Because ROWTYPE
Page 978 and 979:
978 MCONVERT • If there are multi
Page 980 and 981:
MEANS Overview Options MEANS [TABLE
Page 982 and 983:
982 MEANS • The first table list
Page 984 and 985:
984 MEANS LINEARITY Test of lineari
Page 986 and 987:
986 MISSING VALUES • For date for
Page 988 and 989:
MIXED MIXED is available in the Adv
Page 990 and 991:
990 MIXED Models The following are
Page 992 and 993:
992 MIXED Basic Specification • T
Page 994 and 995:
994 MIXED ARMA1 Autoregressive movi
Page 996 and 997:
996 MIXED Example matrix: σ2 1 σ2
Page 998 and 999:
998 MIXED Variable List The variabl
Page 1000 and 1001:
1000 MIXED WITH (option) Covariate
Page 1002 and 1003:
1002 MIXED • The following option
Page 1004 and 1005:
1004 MIXED Otherwise, it will be ig
Page 1006 and 1007:
1006 MIXED REGWGT Subcommand The RE
Page 1008 and 1009:
1008 MIXED Example MIXED SCORE BY S
Page 1010 and 1011:
1010 MIXED Interpretation of Random
Page 1012 and 1013:
1012 MIXED
Page 1014 and 1015:
1014 Syntax Reference Examples MODE
Page 1016 and 1017:
1016 MRSETS These variables are cod
Page 1018 and 1019:
1018 MRSETS DISPLAY Subcommand /DIS
Page 1020 and 1021:
1020 MULT RESPONSE Options did not
Page 1022 and 1023:
1022 MULT RESPONSE • The group na
Page 1024 and 1025:
1024 MULT RESPONSE TABLES Subcomman
Page 1026 and 1027:
1026 MULT RESPONSE ROW Row percenta
Page 1028 and 1029:
1028 MULT RESPONSE The following ke
Page 1030 and 1031:
1030 MVA Overview Options [/REGRESS
Page 1032 and 1033:
1032 MVA Symbols The symbols displa
Page 1034 and 1035:
1034 MVA Examples MVA VARIABLES=pop
Page 1036 and 1037:
1036 MVA PERCENT=n Omit rows for va
Page 1038 and 1039:
1038 MVA TPATTERN Subcommand The TP
Page 1040 and 1041:
1040 MVA CONVERGENCE=value Converge
Page 1042 and 1043:
1042 MVA ADDTYPE Type of distributi
Page 1044 and 1045:
NLR NLR and CNLR are available in t
Page 1046 and 1047:
1046 NLR Basic Specification The ba
Page 1048 and 1049:
1048 NLR • The two COMPUTE statem
Page 1050 and 1051:
1050 NLR Example MODEL PROGRAM A=1,
Page 1052 and 1053:
1052 NLR • Some new parameters ma
Page 1054 and 1055:
1054 NLR Example MODEL PROGRAM A=.5
Page 1056 and 1057:
1056 NLR sponding to a more accurat
Page 1058 and 1059:
1058 NLR Nonlinear Constraints Nonl
Page 1060 and 1061:
1060 NLR • CNLR generates the boo
Page 1062 and 1063:
1062 N OF CASES Example GET FILE=CI
Page 1064 and 1065:
1064 NOMREG Overview Options NOMREG
Page 1066 and 1067:
1066 NOMREG mates convergence crite
Page 1068 and 1069:
1068 NOMREG B are factors. The expr
Page 1070 and 1071:
1070 NOMREG • The initial model c
Page 1072 and 1073:
1072 NOMREG • Only one OUTFILE su
Page 1074 and 1075:
1074 NOMREG SCALE Subcommand The SC
Page 1076 and 1077:
NONPAR CORR Overview Options NONPAR
Page 1078 and 1079:
1078 NONPAR CORR Example NONPAR COR
Page 1080 and 1081:
1080 NONPAR CORR Format of the Matr
Page 1082 and 1083:
NPAR TESTS NPAR TESTS [CHISQUARE=va
Page 1084 and 1085:
1084 NPAR TESTS Options Statistical
Page 1086 and 1087:
1086 NPAR TESTS • If more than 0.
Page 1088 and 1089:
1088 NPAR TESTS Operations Example
Page 1090 and 1091:
1090 NPAR TESTS Example • A test
Page 1092 and 1093:
Page 1094 and 1095:
1094 NPAR TESTS MEDIAN Subcommand S
Page 1096 and 1097:
1096 NPAR TESTS MOSES Subcommand Sy
Page 1098 and 1099:
Page 1100 and 1101:
1100 NPAR TESTS Example • Under t
Page 1102 and 1103:
NUMERIC NUMERIC varlist[(format)] [
Page 1104 and 1105:
OLAP CUBES OLAP CUBES {varlist} BY
Page 1106 and 1107:
1106 OLAP CUBES • A Layered Repor
Page 1108 and 1109:
1108 OLAP CUBES The percentage diff
Page 1110 and 1111:
OMS Note: Square brackets used in t
Page 1112 and 1113:
1112 OMS bles from the FREQUENCIES
Page 1114 and 1115:
1114 OMS Example OMS /SELECT TABLES
Page 1116 and 1117:
1116 OMS be followed by an equals s
Page 1118 and 1119:
1118 OMS SVWSOXML XML used by Smart
Page 1120 and 1121:
1120 OMS • The first OMS command
Page 1122 and 1123:
1122 OMS keyword must be followed b
Page 1124 and 1125:
1124 OMS Figure 4 Single two-dimens
Page 1126 and 1127:
1126 OMS Figure 6 Multiple Tables w
Page 1128 and 1129:
1128 OMS Figure 8 Tables with diffe
Page 1130 and 1131:
1130 OMS tics in the columns. To in
Page 1132 and 1133:
1132 OMS Figure 11 Variable names i
Page 1134 and 1135:
1134 OMS Figure 13 OXML for simple
Page 1136 and 1137:
1136 OMS Command and Subtype Identi
Page 1138 and 1139:
1138 OMS Table 2 Command Command Id
Page 1140 and 1141:
Page 1142 and 1143:
Page 1144 and 1145:
Page 1146 and 1147:
Page 1148 and 1149:
Page 1150 and 1151:
Page 1152 and 1153:
Page 1154 and 1155:
OMSINFO OMSINFO. Example OMSINFO. O
Page 1156 and 1157:
13 1156 OMSEND OMSEND Note: Square
Page 1158 and 1159:
OMSLOG OMSLOG FILE = ’filespec’
Page 1160 and 1161:
ONEWAY Overview Options ONEWAY varl
Page 1162 and 1163:
1162 ONEWAY Analysis List The analy
Page 1164 and 1165:
1164 ONEWAY groups. In addition, ho
Page 1166 and 1167:
1166 ONEWAY • Up to 10 RANGE subc
Page 1168 and 1169:
1168 ONEWAY • The dependent varia
Page 1170 and 1171:
ORTHOPLAN Overview Options ORTHOPLA
Page 1172 and 1173:
1172 ORTHOPLAN Example • The FACT
Page 1174 and 1175:
1174 ORTHOPLAN • MINIMUM is follo
Page 1176 and 1177:
1176 Syntax Reference Basic Specifi
Page 1178 and 1179:
1178 Syntax Reference SETS Subcomma
Page 1180 and 1181:
1180 Syntax Reference CONVERGENCE S
Page 1182 and 1183:
1182 Syntax Reference SAVE Subcomma
Page 1185 and 1186:
PACF Overview Options PACF [VARIABL
Page 1187 and 1188:
PACF 1187 • DIFF differences the
Page 1189 and 1190:
PACF 1189 • If SEASONAL is specif
Page 1191 and 1192:
PARTIAL CORR Overview Options PARTI
Page 1193 and 1194:
VARIABLES Subcommand PARTIAL CORR 1
Page 1195 and 1196:
FORMAT Subcommand FORMAT determines
Page 1197 and 1198:
Format of the Matrix Data File Spli
Page 1199 and 1200:
PARTIAL CORR 1199 • REGRESSION co
Page 1201 and 1202:
PERMISSIONS PERMISSIONS FILE=’fil
Page 1203 and 1204:
PLANCARDS Overview Options PLANCARD
Page 1205 and 1206:
Example PLANCARDS 1205 DATA LIST FR
Page 1207 and 1208:
Figure 2 Single-profile format Prof
Page 1209:
Profile # 1 Circle the number in th
Page 1212 and 1213:
1212 PLUM Basic Specification The b
Page 1214 and 1215:
1214 PLUM value. The criterion is n
Page 1216 and 1217:
1216 PLUM CELLINFO Cell Information
Page 1218 and 1219:
1218 PLUM • Covariates can be con
Page 1220 and 1221:
POINT POINT KEY=varname [FILE=file]
Page 1222 and 1223:
1222 POINT Example • DATA LIST re
Page 1224 and 1225:
PPLOT PPLOT [VARIABLES=] varlist [/
Page 1226 and 1227:
1226 PPLOT Operations • Subcomman
Page 1228 and 1229:
1228 PPLOT FRACTION Subcommand FRAC
Page 1230 and 1231:
1230 PPLOT • In low resolution, a
Page 1232 and 1233:
1232 PPLOT • If a natural log tra
Page 1234 and 1235:
PREDICT PREDICT [{start date }] [TH
Page 1236 and 1237:
1236 PREDICT • If there is a gap
Page 1238 and 1239:
PRESERVE PRESERVE Overview PRESERVE
Page 1240 and 1241:
1240 Syntax Reference Basic Specifi
Page 1242 and 1243:
1242 Syntax Reference Example DATA
Page 1244 and 1245:
1244 Syntax Reference CONVERGENCE S
Page 1246 and 1247:
Page 1248 and 1249:
1248 Syntax Reference VARNAME_ Stri
Page 1250 and 1251:
1250 PRINT Syntax Rules • A slash
Page 1252 and 1253:
1252 PRINT Strings You can specify
Page 1254 and 1255:
1254 PRINT Example PRINT OUTFILE=PR
Page 1256 and 1257:
1256 PRINT EJECT Basic Specificatio
Page 1258 and 1259:
PRINT FORMATS PRINT FORMATS varlist
Page 1260 and 1261:
1260 PRINT FORMATS Example COMPUTE
Page 1262 and 1263:
1262 PRINT SPACE Example PRINT / NA
Page 1264 and 1265:
PROBIT Overview Options PROBIT is a
Page 1266 and 1267:
1266 PROBIT • If individual cases
Page 1268 and 1269:
1268 PROBIT • Keywords BY and WIT
Page 1270 and 1271:
1270 PROBIT mately six significant
Page 1272 and 1273:
1272 PROBIT RMP Relative median pot
Page 1274 and 1275:
1274 PROCEDURE OUTPUT Example PROCE
Page 1276 and 1277:
1276 PROXIMITIES Example Overview O
Page 1278 and 1279:
1278 PROXIMITIES RANGE Standardize
Page 1280 and 1281:
1280 PROXIMITIES CORRELATION( xy ,
Page 1282 and 1283:
1282 PROXIMITIES 0, 1, 1, 0, 0 for
Page 1284 and 1285:
1284 PROXIMITIES K1[(p[,np])] Kulcz
Page 1286 and 1287:
1286 PROXIMITIES SS5[(p[,np])] Soka
Page 1288 and 1289:
1288 PROXIMITIES • When used with
Page 1290 and 1291:
1290 PROXIMITIES analysis. If a var
Page 1292 and 1293:
1292 PROXIMITIES Example Example GE
Page 1294 and 1295:
1294 PROXIMITIES
Page 1296 and 1297:
1296 Syntax Reference Overview Opti
Page 1298 and 1299:
Page 1300 and 1301:
Page 1302 and 1303:
1302 Syntax Reference TORGERSON Tor
Page 1304 and 1305:
1304 Syntax Reference SPLINE Monoto
Page 1306 and 1307:
1306 Syntax Reference number of cas
Page 1308 and 1309:
1308 Syntax Reference DIFFSTRESS Co
Page 1310 and 1311:
1310 Syntax Reference PLOT Subcomma
Page 1312 and 1313:
1312 Syntax Reference cases in the
Page 1314 and 1315:
1314 QUICK CLUSTER distances betwee
Page 1316 and 1317:
1316 QUICK CLUSTER is specified, QU
Page 1318 and 1319:
1318 QUICK CLUSTER NONE No addition
Page 1320 and 1321:
RANK RANK [VARIABLES=] varlist [({A
Page 1322 and 1323:
1322 RANK • String variables cann
Page 1324 and 1325:
1324 RANK TIES Subcommand TIES dete
Page 1326 and 1327:
RATIO STATISTICS RATIO STATISTICS n
Page 1328 and 1329:
1328 RATIO STATISTICS • Keywords
Page 1330 and 1331:
1330 RATIO STATISTICS MEAN Mean. Th
Page 1332 and 1333:
1332 Syntax Reference Syntax Rules
Page 1334 and 1335:
RECODE For numeric variables: RECOD
Page 1336 and 1337:
1336 RECODE • SYSMIS specifies th
Page 1338 and 1339:
1338 RECODE • Values for V1 throu
Page 1340 and 1341:
RECORD TYPE For mixed file types: R
Page 1342 and 1343:
1342 RECORD TYPE Example * Reading
Page 1344 and 1345:
1344 RECORD TYPE Example * A mixed
Page 1346 and 1347:
1346 RECORD TYPE Example * Specifyi
Page 1348 and 1349:
1348 RECORD TYPE • SPREAD can be
Page 1350 and 1351:
1350 REFORMAT Example * Convert an
Page 1352 and 1353:
1352 REGRESSION Overview Options RE
Page 1354 and 1355:
1354 REGRESSION • The DEPENDENT s
Page 1356 and 1357:
1356 REGRESSION • When more than
Page 1358 and 1359:
1358 REGRESSION Equation Statistics
Page 1360 and 1361:
1360 REGRESSION PIN[(value)] Probab
Page 1362 and 1363:
1362 REGRESSION • COMPUTE creates
Page 1364 and 1365:
1364 REGRESSION • If SELECT is sp
Page 1366 and 1367:
1366 REGRESSION MISSING Subcommand
Page 1368 and 1369:
1368 REGRESSION: Residuals (RESIDUA
Page 1370 and 1371:
1370 REGRESSION: Residuals • REGR
Page 1372 and 1373:
1372 REGRESSION: Residuals are RESI
Page 1374 and 1375:
1374 REGRESSION: Residuals Example
Page 1376 and 1377:
RELIABILITY Overview RELIABILITY VA
Page 1378 and 1379:
1378 RELIABILITY • This example a
Page 1380 and 1381:
1380 RELIABILITY ICC Subcommand ICC
Page 1382 and 1383:
1382 RELIABILITY Matrix Output Matr
Page 1384 and 1385:
1384 RELIABILITY Example Example Ex
Page 1386 and 1387:
RENAME VARIABLES RENAME VARIABLES {
Page 1388 and 1389:
REPEATING DATA REPEATING DATA [FILE
Page 1390 and 1391:
1390 REPEATING DATA • The DATA LI
Page 1392 and 1393:
1392 REPEATING DATA Example Figure
Page 1394 and 1395:
1394 REPEATING DATA STARTS Subcomma
Page 1396 and 1397:
1396 REPEATING DATA • In the data
Page 1398 and 1399:
1398 REPEATING DATA CONTINUED Subco
Page 1400 and 1401:
1400 REPEATING DATA in positions 1-
Page 1402 and 1403:
REPORT REPORT [/FORMAT=[{MANUAL }]
Page 1404 and 1405:
1404 REPORT Column Widths. Default
Page 1406 and 1407:
1406 REPORT statistics. The maximum
Page 1408 and 1409:
1408 REPORT Example • The maximum
Page 1410 and 1411:
1410 REPORT headings with the first
Page 1412 and 1413:
1412 REPORT Figure 1 Page layout fo
Page 1414 and 1415:
1414 REPORT Example REPORT FORMAT=A
Page 1416 and 1417:
1416 REPORT Column Format The follo
Page 1418 and 1419:
1418 REPORT BREAK Subcommand BREAK
Page 1420 and 1421:
1420 REPORT (OFFSET) Position of th
Page 1422 and 1423:
1422 REPORT • To use the summary
Page 1424 and 1425:
1424 REPORT means of all three vari
Page 1426 and 1427:
1426 REPORT • The summary title m
Page 1428 and 1429:
1428 REPORT Table 3 Default print f
Page 1430 and 1431:
1430 REPORT • The right-justified
Page 1432 and 1433:
1432 REREAD Subcommand Order Subcom
Page 1434 and 1435:
1434 REREAD FILE Subcommand FILE sp
Page 1436 and 1437:
1436 REREAD Example * Reading both
Page 1438 and 1439:
RMV RMV new variables={LINT (varlis
Page 1440 and 1441:
1440 RMV • NEWVAR1 will have the
Page 1442 and 1443:
ROC Overview Options ROC varlist BY
Page 1444 and 1445:
1444 ROC MISSING Subcommand Cases w
Page 1446 and 1447:
SAMPLE SAMPLE {decimal value} {n FR
Page 1448 and 1449:
SAVE SAVE OUTFILE=’filespec’ [/
Page 1450 and 1451:
1450 SAVE Example GET FILE=HUBEMPL.
Page 1452 and 1453:
1452 SAVE Example GET FILE=PRSNL. C
Page 1454 and 1455:
1454 SAVE PERMISSIONS Subcommand Th
Page 1456 and 1457:
1456 Syntax Reference SAVE MODEL Ov
Page 1458 and 1459:
1458 Syntax Reference TYPE Subcomma
Page 1460 and 1461:
1460 SAVE TRANSLATE ** Required for
Page 1462 and 1463:
1462 SAVE TRANSLATE • User-missin
Page 1464 and 1465:
1464 SAVE TRANSLATE The following t
Page 1466 and 1467:
1466 SAVE TRANSLATE WK1 1-2-3 Relea
Page 1468 and 1469:
1468 SAVE TRANSLATE CELLS Subcomman
Page 1470 and 1471:
1470 SAVE TRANSLATE Example SAVE TR
Page 1472 and 1473:
1472 SCRIPT
Page 1474 and 1475:
1474 Syntax Reference Subcommand Or
Page 1476 and 1477:
1476 Syntax Reference PERIOD Subcom
Page 1478 and 1479:
SELECT IF SELECT IF [(]logical expr
Page 1480 and 1481:
1480 SELECT IF Missing Values • I
Page 1482 and 1483:
1482 SELECT IF Example Example Exam
Page 1484 and 1485:
1484 SET [HEADER={NO** }] {YES } {B
Page 1486 and 1487:
1486 SET Operations Example • Set
Page 1488 and 1489:
1488 SET LABELS Displays variable l
Page 1490 and 1491:
1490 SET JOURNAL Subcommand Alias t
Page 1492 and 1493:
1492 SET SPSSB in the server versio
Page 1494 and 1495:
1494 SET • You can specify any le
Page 1496 and 1497:
1496 SET Example SET SMALL = 0. SET
Page 1498 and 1499:
SHOW SHOW [ALL] [BLANKS] [BLKSIZE]
Page 1500 and 1501:
1500 SHOW EPOCH Range of years for
Page 1502 and 1503:
1502 SHOW WEIGHT Variable used to w
Page 1504 and 1505:
1504 SORT CASES addition, special c
Page 1506 and 1507:
1506 SPCHART Overview Options SPCHA
Page 1508 and 1509:
1508 SPCHART • The default span (
Page 1510 and 1511:
1510 SPCHART Figure 3 S chart Data
Page 1512 and 1513:
1512 SPCHART Figure 4 Individuals c
Page 1514 and 1515:
1514 SPCHART Figure 7 NP chart Data
Page 1516 and 1517:
1516 SPCHART based on the Poisson d
Page 1518 and 1519:
1518 SPCHART • A duplicated subco
Page 1520 and 1521:
1520 SPCHART CAPSIGMA Subcommand Th
Page 1522 and 1523:
1522 SPCHART fixed control limits a
Page 1524 and 1525:
1524 Syntax Reference SPECTRA Overv
Page 1526 and 1527:
1526 Syntax Reference Syntax Rules
Page 1528 and 1529:
1528 Syntax Reference TUKEY Tukey-H
Page 1530 and 1531:
Page 1532 and 1533:
1532 Syntax Reference References
Page 1534 and 1535:
1534 SPLIT FILE • AGGREGATE ignor
Page 1536 and 1537:
STRING STRING varlist (An) [/varlis
Page 1538 and 1539:
SUBTITLE SUBTITLE [’]text[’] Ex
Page 1540 and 1541:
SUMMARIZE SUMMARIZE [TABLES=]{varli
Page 1542 and 1543:
1542 SUMMARIZE Example the FORMAT s
Page 1544 and 1545:
1544 SUMMARIZE GEOMETRIC Geometric
Page 1546 and 1547:
SURVIVAL Overview SURVIVAL is avail
Page 1548 and 1549:
1548 SURVIVAL Operations • SURVIV
Page 1550 and 1551:
1550 SURVIVAL • INTERVALS produce
Page 1552 and 1553:
1552 SURVIVAL HAZARD Plot the hazar
Page 1554 and 1555:
1554 SURVIVAL large samples. It is
Page 1556 and 1557:
1556 SURVIVAL WRITE Subcommand Form
Page 1558 and 1559:
1558 SURVIVAL • Record type 31 is
Page 1560 and 1561: 1560 SYSFILE INFO
Page 1562 and 1563: 1562 Syntax Reference Operations Ex
Page 1564 and 1565: 1564 TEMPORARY Example • The XSAV
Page 1566 and 1567: TITLE TITLE [’]text[’] Example
Page 1568 and 1569: TSET TSET [PRINT={DEFAULT**}] [/NEW
Page 1570 and 1571: 1570 TSET MXPREDICT Subcommand MXPR
Page 1572 and 1573: TSPLOT TSPLOT [VARIABLES=] variable
Page 1574 and 1575: 1574 TSPLOT Subcommand Order • Su
Page 1576 and 1577: 1576 TSPLOT Example TSPLOT TICKETS
Page 1578 and 1579: 1578 TSPLOT Figure 3 FORMAT=REFEREN
Page 1580 and 1581: 1580 TSPLOT UNIFORM Scale uniformly
Page 1582 and 1583: 1582 T-TEST degrees of freedom, and
Page 1584 and 1585: 1584 T-TEST PAIRS Subcommand PAIRS
Page 1586 and 1587: 2SLS Overview Options 2SLS is avail
Page 1588 and 1589: 1588 2SLS • In this example, Y1 i
Page 1590 and 1591: 1590 2SLS • In this example, the
Page 1592 and 1593: TWOSTEP CLUSTER Overview TWOSTEP CL
Page 1594 and 1595: 1594 TWOSTEP CLUSTER Example TWOSTE
Page 1596 and 1597: 1596 TWOSTEP CLUSTER Example TWOSTE
Page 1598 and 1599: 1598 TWOSTEP CLUSTER STATE Save the
Page 1600 and 1601: 1600 TWOSTEP CLUSTER SUMMARY Descri
Page 1602 and 1603: 1602 UNIANOVA Overview Options ** D
Page 1604 and 1605: 1604 UNIANOVA Example UNIANOVA YIEL
Page 1606 and 1607: 1606 UNIANOVA appropriate effect is
Page 1608 and 1609: 1608 UNIANOVA PRINT Subcommand PRIN
Page 1612 and 1613: 1612 UNIANOVA • B1 versus B2 at A
Page 1614 and 1615: 1614 UNIANOVA HELMERT Helmert contr
Page 1616 and 1617: 1616 UNIANOVA Post Hoc Tests Statis
Page 1618 and 1619: 1618 UNIANOVA QREGW Ryan-Einot-Gabr
Page 1620 and 1621: 1620 UNIANOVA SRESID Studentized re
Page 1622 and 1623: UPDATE UPDATE FILE={master file} {*
Page 1624 and 1625: 1624 UPDATE • UPDATE copies all v
Page 1626 and 1627: 1626 UPDATE BY Subcommand BY specif
Page 1628 and 1629: 1628 UPDATE • IN has only one spe
Page 1630 and 1631: 1630 USE • Values on keyword YEAR
Page 1632 and 1633: 1632 USE USE THRU 5. • This comma
Page 1634 and 1635: 1634 VALUE LABELS Operations Exampl
Page 1636 and 1637: VARCOMP Overview Options VARCOMP is
Page 1638 and 1639: 1638 VARCOMP • You can specify mu
Page 1640 and 1641: 1640 VARCOMP The default is 1.0E-8.
Page 1642 and 1643: 1642 VARCOMP Nesting within an inte
Page 1644 and 1645: VARIABLE LABELS VARIABLE LABELS var
Page 1646 and 1647: VARIABLE LEVEL VARIABLE LEVEL varli
Page 1648 and 1649: VARSTOCASES VARSTOCASES /MAKE new v
Page 1650 and 1651: 1650 VARSTOCASES The command: VARST
Page 1652 and 1653: 1652 VARSTOCASES Example VARSTOCASE
Page 1654 and 1655: 1654 VARSTOCASES COUNT Subcommand W
Page 1656 and 1657: 1656 VECTOR Syntax Rules • Multip
Page 1658 and 1659: 1658 VECTOR Example VECTOR X,Y(A5,6
Page 1660 and 1661:
1660 VECTOR • Aggregating by vari
Page 1662 and 1663:
1662 VERIFY Operations • VERIFY r
Page 1664 and 1665:
1664 WEIGHT Example • Each WEIGHT
Page 1666 and 1667:
1666 WLS without erasing values sav
Page 1668 and 1669:
1668 WLS DELTA Subcommand DELTA, al
Page 1670 and 1671:
1670 WLS Example WLS X1 WITH Y1 /SO
Page 1672 and 1673:
1672 WRITE Basic Specification The
Page 1674 and 1675:
1674 WRITE Strings • MOHIRED, YRH
Page 1676 and 1677:
WRITE FORMATS WRITE FORMATS varlist
Page 1678 and 1679:
1678 WRITE FORMATS Example COMPUTE
Page 1680 and 1681:
1680 XSAVE Basic Specification The
Page 1682 and 1683:
1682 XSAVE • Keyword ALL on KEEP
Page 1684:
1684 XSAVE • The only specificati
Page 1687 and 1688:
Appendix A Commands and Program Sta
Page 1689 and 1690:
Determining Command Order Commands
Page 1691 and 1692:
Table A.1 Commands and program stat
Page 1693 and 1694:
Input Program Commands Commands and
Page 1695 and 1696:
Appendix B IMPORT/EXPORT Character
Page 1697 and 1698:
Position Graphic Macintosh Microsof
Page 1699 and 1700:
Position Graphic Macintosh Microsof
Page 1701:
Position Graphic Macintosh 222 â 1
Page 1704 and 1705:
1704 Appendix C Figure C.1 File REC
Page 1706 and 1707:
1706 Appendix C Figure C.4 NESTED.D
Page 1708 and 1709:
1708 Appendix C • The output from
Page 1710 and 1711:
1710 Appendix C FILE TYPE GROUPED R
Page 1712 and 1713:
1712 Appendix C Figure C.8 LIST out
Page 1714 and 1715:
1714 Appendix C • REPEATING DATA
Page 1716 and 1717:
1716 Appendix C The loop terminates
Page 1718 and 1719:
1718 Appendix D Example 1: Automati
Page 1720 and 1721:
1720 Appendix D • Commands betwee
Page 1722 and 1723:
1722 Appendix D Figure D.7 Listing
Page 1724 and 1725:
1724 Appendix D You can modify the
Page 1726 and 1727:
1726 Appendix D • !TOKENS(1) spec
Page 1728 and 1729:
1728 Appendix D Figure D.15 Output
Page 1730 and 1731:
1730 Appendix D Figure D.19 !DATAGE
Page 1733 and 1734:
Appendix A Trends Options: Special
Page 1735 and 1736:
Trends Options: Special Considerati
Page 1737 and 1738:
Trends Options: Special Considerati
Page 1739 and 1740:
Subject Index active data file cach
Page 1741 and 1742:
inary shape difference in Distances
Page 1743 and 1744:
in Logistic Regression procedure, 8
Page 1745 and 1746:
in Multidimensional Scaling procedu
Page 1747 and 1748:
scratch files, 1492 data dictionary
Page 1749 and 1750:
matrices, 479 matrix input, 482 mat
Page 1751 and 1752:
in Hierarchical Loglinear Analysis
Page 1753 and 1754:
cell weights, 610, 821 contrasts, 8
Page 1755 and 1756:
hierarchical loglinear analysis, 71
Page 1757 and 1758:
in Autoregression procedure, 148- 1
Page 1759 and 1760:
See also Linear Regression procedur
Page 1761 and 1762:
linear transformations, 871 naming
Page 1763 and 1764:
date format variables, 986 defining
Page 1765 and 1766:
function precision, 1056 infinite s
Page 1767 and 1768:
in Cox Regression procedure, 302 in
Page 1769 and 1770:
output, 1489, 1494 output page size
Page 1771 and 1772:
elative risk ratio in Crosstabs pro
Page 1773 and 1774:
scientific notation controlling dis
Page 1775 and 1776:
in ROC Curve procedure, 1445 standa
Page 1777 and 1778:
fixed format, 414, 415, 416, 423 fr
Page 1779 and 1780:
date format variables, 1633 in Homo
Page 1781 and 1782:
Syntax Index !BLANKS (function) DEF
Page 1783 and 1784:
AGGREGATE (command), 90 BREAK subco
Page 1785 and 1786:
AR (subcommand) ARIMA command, 158
Page 1787 and 1788:
REPORT command, 1417 BLANKS (subcom
Page 1789 and 1790:
CASENUM$ (system variable) in PRINT
Page 1791 and 1792:
REGRESSION command, 1360 CIN (subco
Page 1793 and 1794:
SHOW command, 1499 COMPUTE (command
Page 1795 and 1796:
TWOSTEP CLUSTER command, 1600 COUNT
Page 1797 and 1798:
WRITE subcommand, 325 CROSSVALID (k
Page 1799 and 1800:
Symbols D (keyword) CLUSTER command
Page 1801 and 1802:
NPAR TESTS command, 1100 ONEWAY com
Page 1803 and 1804:
DISPER (keyword) CLUSTER command, 2
Page 1805 and 1806:
MIXED command, 999 UNIANOVA command
Page 1807 and 1808:
EXPERIMENTAL (keyword) ANOVA comman
Page 1809 and 1810:
MEANS command, 983 PROXSCAL command
Page 1811 and 1812:
GAC (keyword) OLAP CUBES command, 1
Page 1813 and 1814:
TEST(SSCP) keyword, 674 TUKEY keywo
Page 1815 and 1816:
HISTORY (keyword) CATPCA command, 2
Page 1817 and 1818:
INCLUDE (command), 771 FILE subcomm
Page 1819 and 1820:
JITTER (keyword) IGRAPH command, 75
Page 1821 and 1822:
LEAVE (command), 796 LEFT (keyword)
Page 1823 and 1824:
CWEIGHT subcommand, 821 DESIGN subc
Page 1825 and 1826:
ROVMAP subcommand, 896 SHOWLABEL su
Page 1827 and 1828:
RMV command, 1440 MEAN (keyword) AN
Page 1829 and 1830:
MANOVA command, 858 MEANS command,
Page 1831 and 1832:
CATREG command, 212 MULTIPUNCH (key
Page 1833 and 1834:
NMISS (function) AGGREGATE command,
Page 1835 and 1836:
NOREFERENCE (keyword) TSPLOT comman
Page 1837 and 1838:
CATREG command, 215 ODBC (keyword)
Page 1839 and 1840:
RATIO STATISTICS command, 1328 REGR
Page 1841 and 1842:
PER (keyword) SPECTRA command, 1530
Page 1843 and 1844:
SUMMARY keyword, 1216 TEST subcomma
Page 1845 and 1846:
CATREG command, 215 CLUSTER command
Page 1847 and 1848:
QUANT (keyword) CATPCA command, 200
Page 1849 and 1850:
with FORMATS command, 1349 REG (key
Page 1851 and 1852:
CSTABULATE command, 374 CURVEFIT co
Page 1853 and 1854:
SAMPLEFILE (subcommand) CSSELECT co
Page 1855 and 1856:
SEED (keyword) CSSELECT command, 34
Page 1857 and 1858:
MXLOOPS subcommand, 1500 MXMEMORY s
Page 1859 and 1860:
SP (subcommand) ARIMA command, 156-
Page 1861 and 1862:
DISCRIMINANT command, 479 FREQUENCI
Page 1863 and 1864:
Symbols T (function) MATRIX command
Page 1865 and 1866:
TOLERANCE (subcommand) DISCRIMINANT
Page 1867 and 1868:
UNCLASSIFIED (keyword) DISCRIMINANT
Page 1869 and 1870:
REPORT command, 1414, 1418 value la
Page 1871 and 1872:
VIN (subcommand) DISCRIMINANT comma
Page 1873 and 1874:
X1MULTIPLIER (keyword) IGRAPH comma
show all

SPSS® 12.0 Command Syntax Reference

Create successful ePaper yourself

Delete template?

Save as template?