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DOLLARn.d. Currency with or without a leading dollar sign ($). Input values can include a leading dollar sign, but it is not required. Specification of the total number of characters (n) and decimals (d) is optional. For a complete list of variable formats, see “Variable Types and Formats” on page 50. Note: For default numeric (F) format and scientific notation (E) format, the decimal indicator of the input data must match the IBM SPSS Statistics locale decimal indicator (period or comma). Use SHOW DECIMAL to display the current decimal indicator and SET DECIMAL to set the decimal indicator. (Comma and Dollar formats recognize only the period as the decimal indicator, and Dot format recognizes only the comma as the decimal indicator.) 774 IBM SPSS Statistics 23 Command Syntax Reference
GET SAS GET SAS DATA=’file’ [DSET(dataset)] [/ENCODING={"Locale"**}] {"System" } {"UTF-8" } {"value" } [/FORMATS=file] **Default if subcommand omitted. Release History Release 19 v ENCODING subcommand introduced. Example GET SAS DATA=’/data/elect.sd7’. Overview GET SAS builds an active dataset from a SAS dataset or a SAS transport file. A SAS transport file is a sequential file written in SAS transport format and can be created by the SAS export engine available in SAS Release 6.06 or higher or by the EXPORT option on the COPY or XCOPY procedure in earlier versions. GET SAS reads SAS version 6-9 files. Options Retrieving User-Defined Value Labels. For native SAS datasets, you can specify a file on the FORMATS subcommand to retrieve user-defined value labels associated with the data being read. This file must be created by the SAS PROC FORMAT statement and can be used only for native SAS datasets. For SAS transport files, the FORMATS subcommand is ignored. Specifying the Dataset. You can name a dataset contained in a specified SAS file, using DSET on the DATA subcommand. GET SAS reads the specified dataset from the SAS file. Basic Specification The basic specification is the DATA subcommand followed by the name of the SAS file to read. By default, the first SAS dataset is copied into the active dataset and any necessary data conversions are made. Syntax Rules v The subcommand DATA and the SAS filename are required and must be specified first. v The subcommand FORMATS is optional. This subcommand is ignored for SAS transport files. v The subcommand ENCODING is optional. v GET SAS does not allow KEEP, DROP, RENAME, and MAP subcommands. To use a subset of the variables, rename them, or display the file content, you can specify the appropriate commands after the active dataset is created. Operations v GET SAS reads data from the specified or default dataset contained in the SAS file named on the DATA subcommand. © Copyright IBM Corporation 1989, 2014 775
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IBM SPSS Statistics 23 Command Synt
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Contents Introduction: A Guide to C
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Interaction between APPLY TEMPLATE
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EQUAL Subcommand . . . . . . . . .
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Formats for Summaries . . . . . . .
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ID Subcommand . . . . . . . . . . .
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ENCODING Subcommand . . . . . . . .
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Input Programs. . . . . . . . . . .
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FORMAT Keyword . . . . . . . . . .
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TRAININGSAMPLE Subcommand . . . . .
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OUTPUT MODIFY . . . . . . . . . 135
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Example: Matrix Output to Working F
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Examples . . . . . . . . . . . . .
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Examples . . . . . . . . . . . . .
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COSTS Subcommand . . . . . . . . .
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WRITE . . . . . . . . . . . . . . 2
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Introduction: A Guide to Command Sy
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Apply Dictionary. Applies variable
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Select If. Selects cases based on l
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OMSEnd. Ends active OMS commands. O
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Nonparametric. Collection of one-sa
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Overals. Nonlinear canonical correl
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Release 22.0 v CLT, CGT, CIN, and C
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Release 22.0 v PASSWORD keyword int
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DETECTANOMALY Release 14.0 v Comman
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Release 19 v ENCODING subcommand in
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MISSING VALUES Release 16.0 v Limit
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Release 22.0 v FORMAT=REPORTHTML an
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Release 18.0 v PER CONNECT deprecat
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Release 16.0 v Command introduced a
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v Value EXTERNAL added to list for
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v Command introduced. Release 23.0
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Release 15.0 v Command introduced.
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v NEIGHBOR and DISTANCE functions a
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Universals This part of the Command
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The following is a sample command f
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unconditionally. For example, when
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“SUBTITLE” on page 1849 “SYSF
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Complex and hierarchical raw data f
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v Variable names can be defined wit
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STRING LastName (A15). COMPUTE #ind
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v Output formats are automatically
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v For all numeric formats, the maxi
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Other formats that use punctuation
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Pw.d (packed decimal): The P format
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Table 2. Date and time formats (con
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v Internally, the TIME values are s
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Numeric expressions Numeric express
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***this works***. SELECT IF datevar
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To produce the same results as in r
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IDF. Inverse distribution function.
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The uniform random number function
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NPDF.BETA. NPDF.BETA(quant, shape1,
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CDF.UNIFORM. CDF.UNIFORM(quant, min
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RV.EXP. RV.EXP(scale). Numeric. Ret
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TIME.DAYS. TIME.DAYS(days). Numeric
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XDATE.JDAY. XDATE.JDAY(datevalue).
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v v v v datevar is a date/time form
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v In code page mode, trailing blank
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first occurrence of any of the subs
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LAG function LAG. LAG(variable[, n]
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NE or ~= or ¬ = or . Not equal to
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also be used to scan a list of vari
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Table 4. Supported functions by mod
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Table 5. Missing values in argument
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Missing value functions v Each argu
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2SLS 2SLS is available in the Regre
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Example 2SLS DEMAND WITH PRICE, INC
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ACF ACF VARIABLES= series names [/D
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v In this example, the series SALES
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PACF Subcommand Use the PACF subcom
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ADD DOCUMENT ADD DOCUMENT 'text' 't
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ADD FILES ADD FILES FILE={’savfil
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Examples ADD FILES FILE="/data/scho
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Example ADD FILES FILE="/data/parti
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ADD VALUE LABELS ADD VALUE LABELS v
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ADP ADP is available in the Data Pr
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Rescaling. Continuous inputs can op
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REFERENCE = CURRENT | HMS('timespec
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REPLACEMISSING Subcommand The REPLA
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NONE. Do not bin values of continuo
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AGGREGATE AGGREGATE [OUTFILE={’sa
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v A defined dataset name can be use
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For each case, the new aggregated v
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NU(varlist). Unweighted number of c
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Comparing Missing-Value Treatments
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AIM AIM is available in the Statist
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INCLUDE . User-missing values are t
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ALTER TYPE ALTER TYPE varlist([inpu
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ALSCAL ALSCAL is available in the S
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v ALSCAL ignores user-missing speci
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RATIO(n). Ratio-level data. This sp
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Table 7. Default specifications for
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v Data options listed by PRINT=HEAD
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v MATRIX=IN cannot be used unless a
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Table 10. ALSCAL specifications for
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ANACOR ANACOR is available in the C
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v Because a range of (3,6) is speci
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NONE. No output other than the sing
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Analyzing Aggregated Data To analyz
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ANOVA ANOVA is available in the Sta
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v ANOVA specifies a three-way analy
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Example The following analysis list
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Table 14. Combinations of COVARIATE
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APPLY DICTIONARY APPLY DICTIONARY F
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v The active dataset can be specifi
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DOCUMENTS. Applies documents (defin
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AREG AREG [VARIABLES=] dependent se
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VARIABLES Subcommand VARIABLES spec
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v The second command estimates a re
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ARIMA ARIMA [VARIABLES=] dependent
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Operations v If differencing is spe
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v The specification on P, Q, SP, or
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v The specifications on APPLY can i
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AUTORECODE AUTORECODE VARIABLES=var
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INTO Subcommand INTO provides names
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v The template contains no informat
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BEGIN DATA-END DATA BEGIN DATA data
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BEGIN EXPR-END EXPR BEGIN EXPR-END
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BEGIN EXPR /OUTFILE PREPXML=’/sce
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“Overview” on page 205 “SIMPL
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BEGIN GPL-END GPL BEGIN GPL gpl spe
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BEGIN PROGRAM-END PROGRAM BEGIN PRO
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BOOTSTRAP BOOTSTRAP is available in
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v The DESCRIPTIVES procedure follow
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BREAK BREAK This command does not r
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CACHE CACHE. This command does not
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CASEPLOT CASEPLOT VARIABLES=varlist
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Operations v Subcommand specificati
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FORMAT Subcommand FORMAT controls t
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Figure 22. MARK Y=1990 SPLIT Subcom
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CASESTOVARS CASESTOVARS [/ID = varl
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v v v v New variable formats. With
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v The command created three new ind
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SPLIT FILE BY insure. CASESTOVARS /
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CATPCA CATPCA is available in the C
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In CATPCA, dimensions correspond to
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v TEST6 are treated as an extra cat
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v In CATPCA, values that are less t
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DIMENSION Subcommand DIMENSION spec
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RESAMPLE Subcommand The RESAMPLE su
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example, if /VARIABLES = v1 TO v5 a
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You can use the greater than (>) an
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subcommands for a given data file i
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CATREG CATREG is available in the C
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Writing External Data. You can writ
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CATREG ... /INITIAL FIXSIGNS (63) (
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SPORD and SPNOM Keywords The follow
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RANDOM. Provide a random initial va
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BOOTSTRAP(integer). .632 Bootstap.
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with a keyword, the first rootname
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CCF CCF VARIABLES= series names [WI
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Example CCF VARIABLES = VARX VARY /
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CCF VARIABLES = VARX VARY /LN /DIFF
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CD CD ’directory specification’
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CLEAR TIME PROGRAM CLEAR TIME PROGR
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CLEAR TRANSFORMATIONS CLEAR TRANSFO
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CLUSTER CLUSTER is available in the
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v CLUSTER identifies clusters in so
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Table 19. 2x2contingency table. Ite
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Y[(p[,np])]. Yule’s Y coefficient
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PRINT Subcommand PRINT controls the
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Matrix Output v CLUSTER writes prox
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Example: Input from External File G
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CODEBOOK CODEBOOK is available in t
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CODEBOOK Var1 Var3 [N] $Multvar /VA
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The available options are: NAME. Na
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Example CODEBOOK /OPTIONS MAXCATS=5
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COMMENT {COMMENT} text { * } Overvi
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COMPARE DATASETS COMPARE DATASETS /
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FLAGMISMATCHES=YES|NO. Creates a ne
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COMPUTE COMPUTE target variable=exp
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v To determine whether a character
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v The second SUBSTR function sets L
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CONJOINT CONJOINT is available in t
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Examples CONJOINT PLAN=’/DATA/CAR
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SEQUENCE. Each data point in the da
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v The SPEED factor has a new value
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CORRELATIONS CORRELATIONS is availa
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TWOTAIL . Two-tailed test of signif
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CORRESPONDENCE CORRESPONDENCE is av
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TABLE Subcommand TABLE specifies th
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of columns is 4, the number of acti
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CPRINCIPAL. Distances between colum
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OUTFILE Subcommand Use OUTFILE to w
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COUNT COUNT varname=varlist(value l
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COXREG COXREG is available in the A
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v Only one status variable can be s
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DEVIATION(refcat). Deviations from
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v The second METHOD subcommand adds
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SURVIVAL. Plot the cumulative survi
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CREATE CREATE new series={CSUM (ser
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CSUM Function CSUM produces new ser
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LEAD Function LEAD creates new seri
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v The endpoints of these subset ser
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CROSSTABS CROSSTABS is available in
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Operations v Integer mode builds ta
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v The keywords TO and ALL can be sp
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STATISTICS subcommand STATISTICS re
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v An unbiased point estimate and co
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Columns 49-56. The value of the thi
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CSCOXREG CSCOXREG is available in t
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v The endtime variable, STATUS in V
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Example CSCOXREG SURVIVAL by GROUP
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Example Suppose that factors A and
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ADJCHISQUARE. Adjusted Wald chi-squ
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LOG. Based on log scale. Calculate
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LCL_CUMHAZARD(varname). Lower confi
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CSDESCRIPTIVES CSDESCRIPTIVES is av
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MEAN Subcommand MEAN is used to req
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The SCOPE keyword specifies which c
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CSGLM CSGLM is available in the Com
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v Each keyword may be specified onl
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CUSTOM Subcommand The CUSTOM subcom
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computed by holding the covariate a
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TYPE Keyword The TYPE keyword indic
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OUTFILE Subcommand The OUTFILE subc
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CSLOGISTIC CSLOGISTIC is available
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v WEIGHT and SPLIT FILE settings ar
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INCLUDE Keyword The INCLUDE keyword
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Example Suppose that dependent vari
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CSLOGISTIC y BY a b WITH x /PLAN FI
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DOMAIN Subcommand The DOMAIN subcom
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PARAMETER = 'file'. Writes the para
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CSORDINAL CSORDINAL is available in
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v Subcommands may be specified in a
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CLOGLOG . Complementary log-log fun
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A single cumulative odds ratio is c
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LCONVERGE = [number (RELATIVE | ABS
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v Stratification or cluster variabl
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OBSVALPROB (varname). Observed valu
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CSPLAN CSPLAN is available in the C
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ESTIMATOR TYPE=UNEQUAL_WOR /DESIGN
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v The following subcommands can be
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CSPLAN ANALYSIS /PLAN FILE=’/surv
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DESIGN Subcommand The DESIGN subcom
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SIZE Subcommand The SIZE subcommand
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v MAX is optional for PPS methods.
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v The variable list must contain al
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CSSELECT CSSELECT is available in t
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v An error occurs if the same outpu
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v The external file or dataset cont
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v The selection rule is written in
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CSTABULATE CSTABULATE is available
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v Within the variable list, all spe
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The SCOPE keyword specifies which c
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CTABLES CTABLES is available in the
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v INCLUDEMRSETS keyword introduced
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Figure 25. Multiple response set ta
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Figure 30. Table with multiple, sta
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However, if two multiple response v
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Table 27. Summary functions: all va
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Table 29. Summary functions: multip
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Table 31. Inclusion/exclusion of va
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Figure 39. Multiple variables stack
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v The sort function must be used in
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Figure 45. Table with combined summ
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CTABLES /TABLE AGECAT BY MARITAL /C
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Figure 50. Results with column diff
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PCOMPUTE Subcommand In addition to
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CURVEFIT CURVEFIT is available in t
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v For the models QUADRATIC and CUBI
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SAVE Subcommand SAVE saves the valu
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DATA LIST DATA LIST [FILE=’file
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v If the data are in an external fi
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v In code page mode, the default is
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v Each slash in the variable defini
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* Concatenate three raw data files.
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* Mixing column-style and FORTRAN-l
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specified in the format, the additi
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v Characters from Greek, Cyrillic,
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DATAFILE ATTRIBUTE DATAFILE ATTRIBU
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DATASET ACTIVATE DATASET ACTIVATE n
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DATASET CLOSE DATASET CLOSE {name}
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DATASET COPY DATASET COPY name [WIN
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v The second DATASET COPY command c
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DATASET DECLARE DATASET DECLARE nam
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DATASET DISPLAY DATASET DISPLAY Thi
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DATASET NAME DATASET NAME name [WIN
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v Then a table from a database is r
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DATE DATE keyword [starting value [
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v Starting values for HOUR, MINUTE,
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v This command creates three variab
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1 167 1 167 2 0 2 0 2 1 2 1 2 2 2 2
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DEFINE-!ENDDEFINE DEFINE macro name
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v At the end of the macro body, spe
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check. /* Second call of defined ma
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* Macro call. macdef V1 V2 V3. macd
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frequencies variables = !1 /statist
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Table 39. Expressions and results E
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v The second SET command changes th
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v The macro call assigns three vari
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DELETE VARIABLES DELETE VARIABLES v
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DESCRIPTIVES DESCRIPTIVES is availa
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DESCRIPTIVES VARIABLES=ALL /SAVE. v
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INCLUDE. Include user-missing value
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DETECTANOMALY DETECTANOMALY is avai
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Operations The DETECTANOMALY proced
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must be a positive integer greater
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NORMS. Display the continuous varia
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DISCRIMINANT DISCRIMINANT is availa
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v The GROUPS, VARIABLES, and SELECT
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v Variables with higher inclusion l
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v PIN and POUT take precedence over
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v The keywords CLASS, SCORES, and P
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RAW. Unstandardized canonical discr
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MATRIX Subcommand MATRIX reads and
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GET FILE=UNIONBK /KEEP WORLD FOOD S
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DISPLAY DISPLAY [SORTED] [{NAMES**
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DMCLUSTER DMCLUSTER is available in
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DMLOGISTIC DMLOGISTIC is available
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DMROC DMROC is available in the Dir
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DMTABLES DMTABLES is available in t
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DMTREE DMTREE is available in the D
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DO IF DO IF [(]logical expression[)
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Syntax Rules v The ELSE IF command
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v If none of the expressions are tr
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DO IF (YearHired GT 87). COMPUTE Bo
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DO REPEAT-END REPEAT DO REPEAT stan
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58 +COMPUTE new2=secondVar*2 59 +CO
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2 0 DO REPEAT R=REGION1 TO REGION5/
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DROP DOCUMENTS DROP DOCUMENTS This
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ECHO ECHO "text". This command take
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END CASE END CASE Example * Restruc
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END DATA. SORT CASES ISBN. DO IF $C
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v The variables HEAD1 and HEAD2 con
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END FILE END FILE Example INPUT PRO
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ERASE ERASE FILE=’file’ This co
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EXAMINE EXAMINE provides stem-and-l
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v The procedure examines values of
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EMPIRICAL. Empirical distribution f
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The n in the label shows up to six
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EXECUTE EXECUTE. This command reads
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EXPORT EXPORT OUTFILE=’file’ [/
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v Unless you are certain that the r
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v v RENAME renames NAME and WAGE to
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EXTENSION EXTENSION ACTION={ADD** }
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EXSMOOTH EXSMOOTH [VARIABLES=] seri
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Limitations v Maximum 1 VARIABLES s
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v The eight values sum to 0, since
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v To turn off the values specified
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FACTOR FACTOR is available in the S
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v The CRITERIA subcommand can be sp
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v Only one ANALYSIS subcommand is a
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FACTOR VARS=V1 TO V12 /SELECT=COMPL
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v Six factors are extracted using t
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REG. Regression method. This is the
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Split Files v FACTOR can read or wr
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FILE HANDLE FILE HANDLE handle /NAM
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LRECL Subcommand LRECL specifies th
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FILE LABEL FILE LABEL label text Th
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FILE TYPE-END FILE TYPE For mixed f
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v String values specified on the RE
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Specification Order v FILE TYPE mus
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CASE Subcommand CASE specifies a na
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NOWARN. Suppress warning messages.
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DATA LIST /PSNGR_NO 11 AGE 13-14 SE
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FILTER FILTER {BY var} {OFF } This
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FINISH FINISH Overview FINISH ends
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FIT FIT [[ERRORS=] residual series
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Output Considerations for SSE The s
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FLIP FLIP [VARIABLES= {ALL** }] {va
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v If the variable’s values are no
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FORMATS FORMATS varlist(format) [va
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FREQUENCIES FREQUENCIES is availabl
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NOTABLE. Suppress all frequency tab
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v A single value in parentheses spe
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Specifying a particular statistic F
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GENLIN GENLIN is available in the A
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{integer} [CIMEANPREDL[({varname })
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v The following variables, if speci
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DESCENDING. Factor variable values
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MULTINOMIAL. Multinomial probabilit
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CRITERIA Subcommand The CRITERIA su
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as NEGBIN(number), where number is
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SCALE = MLE | DEVIANCE | PEARSON |
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SUBJECT Keyword The SUBJECT keyword
Page 755 and 756: The COVB keyword specifies whether
Page 757 and 758: marginal means are real numbers bet
Page 759 and 760: The specified contrast compares all
Page 761 and 762: If the REPEATED subcommand is speci
Page 763 and 764: Specify a colon and a positive inte
Page 765 and 766: GENLINMIXED GENLINMIXED is availabl
Page 767 and 768: Repeated Measurements. You can spec
Page 769 and 770: v The TARGET_OPTIONS specification
Page 771 and 772: DATA_STRUCTURE Subcommand The DATA_
Page 773 and 774: v This subcommand is optional. If t
Page 775 and 776: Table 53. Valid combinations of dis
Page 777 and 778: SUBJECTS Keyword The SUBJECTS keywo
Page 779 and 780: LCONVERGE = number (ABSOLUTE | RELA
Page 781 and 782: The SCALE keyword specifies whether
Page 783 and 784: GENLOG GENLOG is available in the A
Page 785 and 786: v A variable can be specified only
Page 787 and 788: Example GENLOG A B /GLOR=COEFF /DES
Page 789 and 790: NONE. No plots. Example GENLOG RESP
Page 791 and 792: v The continuous variable DISTANCE
Page 793 and 794: GET GET FILE=’file’ [LOCK={YES*
Page 795 and 796: v If a variable is specified twice
Page 797 and 798: GET CAPTURE GET CAPTURE is supporte
Page 799 and 800: GET DATA GET DATA /TYPE = {ODBC } {
Page 801 and 802: TXT. Simple (ASCII) text data files
Page 803 and 804: RANGE 'start:end'. Read the specifi
Page 805: QUALIFIER subcommand The QUALIFIERS
Page 809 and 810: Table 54. Character Encoding (conti
Page 811 and 812: v Date, time, and date/time SAS var
Page 813 and 814: GET STATA GET STATA FILE=’file’
Page 815 and 816: Table 55. Character Encoding (conti
Page 817 and 818: GET TRANSLATE GET TRANSLATE FILE=fi
Page 819 and 820: The formats from 1-2-3, Symphony, E
Page 821 and 822: v If two or more columns in the spr
Page 823 and 824: GETCOGNOS Note: Square brackets use
Page 825 and 826: LOCATION subcommand The required LO
Page 827 and 828: GETTM1 GETTM1 /CONNECTION PMSYSURL=
Page 829 and 830: MODE=STOREDCREDENTIAL Specifies to
Page 831 and 832: GGRAPH Note: Square brackets used i
Page 833 and 834: GRAPHDATASET Subcommand GRAPHDATASE
Page 835 and 836: Error interval functions produce th
Page 837 and 838: PEQ(var,x). Percentage of cases for
Page 839 and 840: GRAPHSPEC Subcommand GRAPHSPEC defi
Page 841 and 842: Working with the GPL The Chart Buil
Page 843 and 844: which the template files are specif
Page 845 and 846: GGRAPH /GRAPHDATASET NAME="graphdat
Page 847 and 848: Bar Chart Clustered by Separate Var
Page 849 and 850: GLM GLM is available in the Advance
Page 851 and 852: v Perform multivariate analysis of
Page 853 and 854: GLM X11 X12 X13 X21 X22 X23 Y11 Y12
Page 855 and 856: GLM: Univariate GLM is available in
Page 857 and 858:
v If you do not enter a DESIGN subc
Page 859 and 860:
effect is treated as contained in a
Page 861 and 862:
LOF. Instruction to perform a lack-
Page 863 and 864:
v Only valid effects that appear or
Page 865 and 866:
are involved. Only the relative dif
Page 867 and 868:
v Tests that are designed for homog
Page 869 and 870:
COMPARE(factor) ADJ(method). Main-e
Page 871 and 872:
expression A(B) is equivalent to th
Page 873 and 874:
GLM: Multivariate GLM is available
Page 875 and 876:
specification is skipped, unless yo
Page 877 and 878:
GLM: Repeated Measures GLM is avail
Page 879 and 880:
GLM Y1 TO Y4 BY GROUP /WSFACTOR=YEA
Page 881 and 882:
Suppose that factor D has three lev
Page 883 and 884:
GLM TEMP11 TEMP12 TEMP21 TEMP22 TEM
Page 885 and 886:
GRAPH GRAPH is available in the Sta
Page 887 and 888:
PTILE(x). Xth percentile value of t
Page 889 and 890:
GRAPH TITLE = ’Murder in Major U.
Page 891 and 892:
SCATTERPLOT Subcommand SCATTERPLOT
Page 893 and 894:
Example Assume you have the followi
Page 895 and 896:
HISTOGRAM(NORMAL), overrides the ap
Page 897 and 898:
HILOGLINEAR HILOGLINEAR is availabl
Page 899 and 900:
v It can estimate only hierarchical
Page 901 and 902:
v If you use a variable to specify
Page 903 and 904:
v If PLOT is included without speci
Page 905 and 906:
HOMALS HOMALS is available in the C
Page 907 and 908:
variable is not coded with consecut
Page 909 and 910:
PLOT Subcommand PLOT can be used to
Page 911 and 912:
v The DIMENSION subcommand specifie
Page 913 and 914:
HOST Note: Square brackets used in
Page 915 and 916:
Working Directory The HOST command
Page 917 and 918:
IF IF [(]logical expression[)] targ
Page 919 and 920:
VECTOR V=V1 TO V6. LOOP #I=1 TO 6.
Page 921 and 922:
Table 65. Logical outcomes (continu
Page 923 and 924:
IGRAPH IGRAPH is available in the S
Page 925 and 926:
[X1INTERVAL={AUTO }] {NUM=n } {WIDT
Page 927 and 928:
Subcommand Order v Subcommands can
Page 929 and 930:
v For dot-line charts, dot charts,
Page 931 and 932:
TITLE, SUBTITLE, and CAPTION Subcom
Page 933 and 934:
FORMAT Subcommand For charts with c
Page 935 and 936:
IGRAPH /X1=VAR(volume96) TYPE=CATEG
Page 937 and 938:
WHISKER. Controls the appearance of
Page 939 and 940:
SD(sdval). Error bars represent sta
Page 941 and 942:
X2MULTIPLIER. Specifies the bandwid
Page 943 and 944:
IMPORT IMPORT FILE=’file’ [/TYP
Page 945 and 946:
RENAME Subcommand RENAME renames va
Page 947 and 948:
INCLUDE INCLUDE FILE=’file’ [PA
Page 949 and 950:
INFO This command is obsolete and n
Page 951 and 952:
INPUT PROGRAM-END INPUT PROGRAM INP
Page 953 and 954:
Input Programs The program builds t
Page 955 and 956:
INSERT Note: Equals signs (=) used
Page 957 and 958:
YES. The working directory is chang
Page 959 and 960:
KEYED DATA LIST KEYED DATA LIST KEY
Page 961 and 962:
Examples Specifying a Key Variable
Page 963 and 964:
v The value of the variable is 1 if
Page 965 and 966:
KM KM is available in the Advanced
Page 967 and 968:
Examples KM LENGTH BY SEXRACE /STAT
Page 969 and 970:
KM LENGTH BY SEXRACE /STATUS=EMPLOY
Page 971 and 972:
v Even though no TEST or COMPARE su
Page 973 and 974:
KNN KNN is available in the Statist
Page 975 and 976:
By default, the KNN procedure norma
Page 977 and 978:
The EXCEPT subcommand is introduced
Page 979 and 980:
MODEL Subcommand The MODEL subcomma
Page 981 and 982:
CROSSVALIDATION Subcommand The CROS
Page 983 and 984:
This saves the value of the partiti
Page 985 and 986:
LEAVE LEAVE varlist This command do
Page 987 and 988:
LINEAR LINEAR /FIELDS TARGET = fiel
Page 989 and 990:
BUILD_OPTIONS Subcommand The BUILD_
Page 991 and 992:
SEED = 54752075** | number. When RE
Page 993 and 994:
LIST LIST [VARIABLES={ALL** }] [/FO
Page 995 and 996:
WRAP. Wrap cases if they do not fit
Page 997 and 998:
LOGISTIC REGRESSION LOGISTIC REGRES
Page 999 and 1000:
v Only one dependent variable can b
Page 1001 and 1002:
The following contrast types are av
Page 1003 and 1004:
LR. Likelihood ratio. The removal o
Page 1005 and 1006:
CRITERIA Subcommand CRITERIA contro
Page 1007 and 1008:
Example LOGISTIC REGRESSION VARIABL
Page 1009 and 1010:
LOGLINEAR LOGLINEAR is available in
Page 1011 and 1012:
Linear Combinations. You can calcul
Page 1013 and 1014:
COMPUTE CWT=1. IF (HUSED EQ WIFED)
Page 1015 and 1016:
* Multinomial logit model LOGLINEAR
Page 1017 and 1018:
LOGLINEAR RESPONSE(1,2) BY TIME(1,4
Page 1019 and 1020:
LOOP-END LOOP LOOP [varname=n TO m
Page 1021 and 1022:
LOOP #i=1 to 1000. COMPUTE newvar3=
Page 1023 and 1024:
-END LOOP. END FILE. END INPUT PROG
Page 1025 and 1026:
LOOP #I =1TO66BY6IFSUBSTR(#BKINFO,#
Page 1027 and 1028:
var1 var2 1.00 1.00 1.00 2.00 1.00
Page 1029 and 1030:
MANOVA MANOVA is available in the A
Page 1031 and 1032:
Overview MANOVA (multivariate analy
Page 1033 and 1034:
MANOVA: Univariate MANOVA is availa
Page 1035 and 1036:
v The following words are reserved
Page 1037 and 1038:
v To obtain F tests for individual
Page 1039 and 1040:
v Because the default contrast type
Page 1041 and 1042:
PARAMETERS Keyword The keyword PARA
Page 1043 and 1044:
TABLES. Factors for which you want
Page 1045 and 1046:
where ssh is the hypothesis sum of
Page 1047 and 1048:
OUT. Write a matrix data file. Spec
Page 1049 and 1050:
The cells in a design are defined b
Page 1051 and 1052:
MUPLUS Keyword MUPLUS combines the
Page 1053 and 1054:
References Bock, R. D. 1985. Multiv
Page 1055 and 1056:
MANOVA: Multivariate MANOVA is avai
Page 1057 and 1058:
v TRANSFORM subcommands are not cum
Page 1059 and 1060:
TRANSFORM = SPECIAL(1 1110-12-1-1)
Page 1061 and 1062:
SINGLEDF. Significance tests for th
Page 1063 and 1064:
APPROXIMATE. Approximate power valu
Page 1065 and 1066:
MANOVA ABCBYFAC(1,3) /ANALYSIS(COND
Page 1067 and 1068:
MANOVA: Repeated Measures MANOVA is
Page 1069 and 1070:
v The number of dependent variables
Page 1071 and 1072:
v There is no DESIGN subcommand, so
Page 1073 and 1074:
Table 66. Transformation matrix CON
Page 1075 and 1076:
MATCH FILES MATCH FILES FILE={’sa
Page 1077 and 1078:
v Maximum one BY subcommand. Howeve
Page 1079 and 1080:
TABLE Subcommand TABLE specifies a
Page 1081 and 1082:
Example MATCH FILES FILE=’/data/w
Page 1083 and 1084:
MATRIX-END MATRIX MATRIX matrix sta
Page 1085 and 1086:
SQRT. Square roots of matrix elemen
Page 1087 and 1088:
Syntax of Matrix Language A matrix
Page 1089 and 1090:
*. Multiplication. There are two ca
Page 1091 and 1092:
v You cannot run a matrix program f
Page 1093 and 1094:
ARSIN(M). Inverse sine. Takes a sin
Page 1095 and 1096:
KRONEKER(M1,M2). A(1,1)*B A(1,2)* B
Page 1097 and 1098:
SWEEP(M,S). Sweep transformation of
Page 1099 and 1100:
TITLE Keyword TITLE specifies a tit
Page 1101 and 1102:
[ELSE] matrix statements END IF. v
Page 1103 and 1104:
[/SIZE = size expression] [/MODE =
Page 1105 and 1106:
FORMAT Specification FORMAT specifi
Page 1107 and 1108:
[/VARIABLES = variable list] [/NAME
Page 1109 and 1110:
SAVE matrix expression [/OUTFILE =
Page 1111 and 1112:
COV. A matrix of covariances. CORR.
Page 1113 and 1114:
OUTFILE Specification OUTFILE desig
Page 1115 and 1116:
v RELEASE discards the contents of
Page 1117 and 1118:
MATRIX DATA MATRIX DATA VARIABLES=v
Page 1119 and 1120:
Examples Reading a Correlation Matr
Page 1121 and 1122:
v With the default format, data val
Page 1123 and 1124:
50 50 50 50 50 1 -.4555 1 .3165 -.9
Page 1125 and 1126:
a complete set of matrix materials
Page 1127 and 1128:
2 8 7 6 2 6 7 8 2 9 9 9 1 .6 1 .7 .
Page 1129 and 1130:
v The parentheses around the CONTEN
Page 1131 and 1132:
MCONVERT MCONVERT [[/MATRIX=] [IN({
Page 1133 and 1134:
Example MCONVERT MATRIX=OUT(COVMTX)
Page 1135 and 1136:
MEANS MEANS is available in the Sta
Page 1137 and 1138:
CELLS Subcommand By default, MEANS
Page 1139 and 1140:
MISSING VALUES MISSING VALUES {varl
Page 1141 and 1142:
Example MISSING VALUES V1 (0 THRU 1
Page 1143 and 1144:
MIXED MIXED is available in the Adv
Page 1145 and 1146:
Syntax Rules v For many analyses, t
Page 1147 and 1148:
v Separate covariance matrices are
Page 1149 and 1150:
v The TABLES keyword, followed by a
Page 1151 and 1152:
v In this example, a purely random-
Page 1153 and 1154:
v Interactions among nested effects
Page 1155 and 1156:
DFPRED. Degrees of freedom of predi
Page 1157 and 1158:
MLP MLP is available in the Neural
Page 1159 and 1160:
Missing Values. The MLP procedure h
Page 1161 and 1162:
v The MLP procedure treats DepVar a
Page 1163 and 1164:
v The availability of these rescali
Page 1165 and 1166:
the network. Then, the network is r
Page 1167 and 1168:
superior to batch only for larger d
Page 1169 and 1170:
STOPPINGRULES Subcommand The STOPPI
Page 1171 and 1172:
The SUMMARY keyword displays a summ
Page 1173 and 1174:
v This chart is available only for
Page 1175 and 1176:
MODEL CLOSE MODEL CLOSE NAME={handl
Page 1177 and 1178:
MODEL HANDLE MODEL⌂HANDLE⌂NAME=
Page 1179 and 1180:
Table 71. Supported functions by mo
Page 1181 and 1182:
MAP subcommand Use MAP to map a set
Page 1183 and 1184:
MODEL LIST This command takes effec
Page 1185 and 1186:
MODEL NAME MODEL NAME [model name]
Page 1187 and 1188:
MRSETS MRSETS /MDGROUP NAME= setnam
Page 1189 and 1190:
VARIABLES. The list of elementary v
Page 1191 and 1192:
MULT RESPONSE MULT RESPONSE is avai
Page 1193 and 1194:
GROUPS Subcommand GROUPS defines bo
Page 1195 and 1196:
v If FREQUENCIES is also specified,
Page 1197 and 1198:
v By default, MULT RESPONSE deletes
Page 1199 and 1200:
MULTIPLE CORRESPONDENCE MULTIPLE CO
Page 1201 and 1202:
PRINT = DESCRIP DISCRIM CORR QUANT(
Page 1203 and 1204:
v When no specification is given fo
Page 1205 and 1206:
v If you do not specify the DIMENSI
Page 1207 and 1208:
1, ..., ndim. For variables with mi
Page 1209 and 1210:
v The first value (an integer that
Page 1211 and 1212:
MULTIPLE IMPUTATION MULTIPLE IMPUTA
Page 1213 and 1214:
v The procedure accepts string vari
Page 1215 and 1216:
v Whether a variable is treated as
Page 1217 and 1218:
v SINGULAR is ignored if imputation
Page 1219 and 1220:
The PATTERNS keyword displays tabul
Page 1221 and 1222:
MVA MVA is available in the Missing
Page 1223 and 1224:
Descriptive Analysis. A basic descr
Page 1225 and 1226:
NOUNIVARIATE Subcommand By default,
Page 1227 and 1228:
PERCENT=n. Omit patterns involving
Page 1229 and 1230:
MVA VARIABLES=populatn density urba
Page 1231 and 1232:
FLIMIT=n. F-to-enter limit. The min
Page 1233 and 1234:
N OF CASES N OF CASES n This comman
Page 1235 and 1236:
NAIVEBAYES NAIVEBAYES is available
Page 1237 and 1238:
Operations The NAIVEBAYES procedure
Page 1239 and 1240:
EXCEPT Subcommand The EXCEPT subcom
Page 1241 and 1242:
The NOSELECTION keyword indicates t
Page 1243 and 1244:
NEW FILE NEW FILE This command take
Page 1245 and 1246:
NLR NLR and CNLR are available in t
Page 1247 and 1248:
v By default, the residual sum of s
Page 1249 and 1250:
Example MODEL PROGRAM A=10 B=1 C=5
Page 1251 and 1252:
MODEL PROGRAM A=.5 B=1.6. COMPUTE P
Page 1253 and 1254:
CRITERIA Subcommand CRITERIA contro
Page 1255 and 1256:
ITER n. Maximum number of major and
Page 1257 and 1258:
Bootstrapping is a way of estimatin
Page 1259 and 1260:
NOMREG NOMREG is available in the R
Page 1261 and 1262:
Variable List The variable list spe
Page 1263 and 1264:
INCLUDE. User-missing values are tr
Page 1265 and 1266:
v The initial model is the null mod
Page 1267 and 1268:
HISTORY(n). Iteration history. The
Page 1269 and 1270:
v When multiple linear combinations
Page 1271 and 1272:
NONPAR CORR NONPAR CORR is availabl
Page 1273 and 1274:
KENDALL. Kendall’s tau-b. Only Ke
Page 1275 and 1276:
Replacing the active dataset with m
Page 1277 and 1278:
NPTESTS NPTESTS is available in the
Page 1279 and 1280:
Syntax Rules v At least one test su
Page 1281 and 1282:
v When CUSTOM is specified, the num
Page 1283 and 1284:
WILCOXON Keyword [WILCOXON(TESTVALU
Page 1285 and 1286:
COMPARE= PAIRWISE | STEPWISE | NONE
Page 1287 and 1288:
SIGN Keyword The SIGN keyword produ
Page 1289 and 1290:
NPAR TESTS NPAR TESTS is available
Page 1291 and 1292:
Random Sampling. NPAR TESTS must st
Page 1293 and 1294:
v Expected values are interpreted a
Page 1295 and 1296:
v The distribution keyword must be
Page 1297 and 1298:
DATA LIST /V1 TO V5 1-10. BEGIN DAT
Page 1299 and 1300:
MH performs the marginal homogeneit
Page 1301 and 1302:
Syntax v The minimum specification
Page 1303 and 1304:
ANALYSIS. Exclude cases with missin
Page 1305 and 1306:
NUMERIC NUMERIC varlist[(format)] [
Page 1307 and 1308:
OLAP CUBES OLAP CUBES is available
Page 1309 and 1310:
MEAN. Cell means. STDDEV. Cell stan
Page 1311 and 1312:
OLAP CUBES sales95 sales96 BY regio
Page 1313 and 1314:
OMS Note: Square brackets used in t
Page 1315 and 1316:
Overview The OMS command controls t
Page 1317 and 1318:
Figure 67. Output object types in t
Page 1319 and 1320:
ight-clicking outline item for the
Page 1321 and 1322:
versions of text attributes are inc
Page 1323 and 1324:
IMAGEMAP Keyword For HTML document
Page 1325 and 1326:
OUTPUTSET Keyword OUTPUTSET is an a
Page 1327 and 1328:
Figure 68. Displaying table dimensi
Page 1329 and 1330:
Data File Created from One Table Da
Page 1331 and 1332:
Figure 72. Multiple tables with the
Page 1333 and 1334:
Figure 74. Tables with different nu
Page 1335 and 1336:
Figure 76. Combining different tabl
Page 1337 and 1338:
Viewer and the OXML that represents
Page 1339 and 1340:
OMSEND Note: Square brackets used i
Page 1341 and 1342:
OMSINFO OMSINFO. This command takes
Page 1343 and 1344:
OMSLOG OMSLOG FILE = ’filespec’
Page 1345 and 1346:
ONEWAY ONEWAY is available in the S
Page 1347 and 1348:
v Only one POLYNOMIAL subcommand ca
Page 1349 and 1350:
SIDAK. Sidak t test. Used for pairw
Page 1351 and 1352:
stored in the working directory unl
Page 1353 and 1354:
OPTIMAL BINNING OPTIMAL BINNING is
Page 1355 and 1356:
SAVE = NO | YES (INTO = new varlist
Page 1357 and 1358:
NONE. Suppress all displayed output
Page 1359 and 1360:
ORTHOPLAN ORTHOPLAN is available in
Page 1361 and 1362:
FACTORS Subcommand FACTORS specifie
Page 1363 and 1364:
OUTPUT ACTIVATE OUTPUT ACTIVATE [NA
Page 1365 and 1366:
OUTPUT CLOSE OUTPUT CLOSE [NAME=]{n
Page 1367 and 1368:
OUTPUT DISPLAY OUTPUT DISPLAY This
Page 1369 and 1370:
OUTPUT EXPORT OUTPUT EXPORT [NAME =
Page 1371 and 1372:
Release 17.0 v Command introduced.
Page 1373 and 1374:
ALL. Export all Viewer items. All V
Page 1375 and 1376:
Example OUTPUT EXPORT /DOC DOCUMENT
Page 1377 and 1378:
connects to that application server
Page 1379 and 1380:
SLIDESIZE Keyword The SLIDESIZE key
Page 1381 and 1382:
For space-separated pivot table out
Page 1383 and 1384:
LASTROW. Add exported items after t
Page 1385 and 1386:
YES. Include a preview imaged. This
Page 1387 and 1388:
PERCENTSIZE Keyword The PERCENTSIZE
Page 1389 and 1390:
OUTPUT MODIFY Note: Square brackets
Page 1391 and 1392:
The types of changes you can make i
Page 1393 and 1394:
UNKNOWN IBM SPSS Statistics objects
Page 1395 and 1396:
... OUTPUT MODIFY /SELECT TABLES /I
Page 1397 and 1398:
)ADATE Current date in the form mm/
Page 1399 and 1400:
SORT and SORTDIRECTION Keywords The
Page 1401 and 1402:
COUNT Rows or columns with any of t
Page 1403 and 1404:
FONT Keyword The FONT keyword speci
Page 1405 and 1406:
TEXT Keyword The TEXT keyword modif
Page 1407 and 1408:
OUTPUT NAME OUTPUT NAME [NAME]=name
Page 1409 and 1410:
OUTPUT NEW OUTPUT NEW [NAME=name] T
Page 1411 and 1412:
OUTPUT OPEN OUTPUT OPEN FILE=’fil
Page 1413 and 1414:
Example OUTPUT OPEN FILE=’/exampl
Page 1415 and 1416:
OUTPUT SAVE OUTPUT SAVE [NAME={* }]
Page 1417 and 1418:
v OUTPUT SAVE is not supported in t
Page 1419 and 1420:
OVERALS OVERALS is available in the
Page 1421 and 1422:
v v v v v VARIABLES defines the var
Page 1423 and 1424:
CONVERGENCE Subcommand CONVERGENCE
Page 1425 and 1426:
SAVE Subcommand SAVE lets you add v
Page 1427 and 1428:
PACF PACF VARIABLES= series names [
Page 1429 and 1430:
v If SDIFF is specified without a v
Page 1431 and 1432:
PARTIAL CORR PARTIAL CORR is availa
Page 1433 and 1434:
PARTIAL CORR VARIABLES = RENT WITH
Page 1435 and 1436:
description of the file) . If PARTI
Page 1437 and 1438:
PERMISSIONS PERMISSIONS FILE=’fil
Page 1439 and 1440:
PLANCARDS PLANCARDS is available in
Page 1441 and 1442:
v By default, if FACTORS is not spe
Page 1443 and 1444:
The above example would produce the
Page 1445 and 1446:
PLS PLS is available in the Statist
Page 1447 and 1448:
Classification Model (Explicitly Sp
Page 1449 and 1450:
CASES saves the following caseswise
Page 1451 and 1452:
PLUM PLUM is available in the Stati
Page 1453 and 1454:
PCONVERGE. Parameter estimates conv
Page 1455 and 1456:
SUMMARY. Model summary. The Cox & S
Page 1457 and 1458:
Example PLUM chist BY housng /CRITE
Page 1459 and 1460:
POINT POINT KEY=varname [FILE=’fi
Page 1461 and 1462:
FILE HANDLE DRIVERS/ file specifica
Page 1463 and 1464:
PPLOT PPLOT is available in the Sta
Page 1465 and 1466:
Example PPLOT VARIABLES = VARX /FRA
Page 1467 and 1468:
TIES Subcommand TIES determines the
Page 1469 and 1470:
DIFF Subcommand DIFF specifies the
Page 1471 and 1472:
TEMPLATE Subcommand TEMPLATE uses a
Page 1473 and 1474:
PREDICT PREDICT [{start date }] [TH
Page 1475 and 1476:
v This command specifies a forecast
Page 1477 and 1478:
PREFSCAL PREFSCAL is available in t
Page 1479 and 1480:
Basic Specification The basic speci
Page 1481 and 1482:
v PREFSCAL reads 15 columns and 42
Page 1483 and 1484:
MAXDIM variables in the external fi
Page 1485 and 1486:
PREFSCAL var01 TO var15 /INPUT = SO
Page 1487 and 1488:
v Inapplicable keywords are silentl
Page 1489 and 1490:
RESIDUALS(valuelist). Residuals plo
Page 1491 and 1492:
PRESERVE PRESERVE This command take
Page 1493 and 1494:
PRINCALS PRINCALS (principal compon
Page 1495 and 1496:
v The VARIABLES subcommand is requi
Page 1497 and 1498:
HISTORY. History of the iterations.
Page 1499 and 1500:
SAVE Subcommand SAVE lets you add v
Page 1501 and 1502:
PRINT PRINT [OUTFILE=file] [ENCODIN
Page 1503 and 1504:
v When a format is specified for a
Page 1505 and 1506:
v In Unicode mode, the default is U
Page 1507 and 1508:
PRINT EJECT PRINT EJECT [OUTFILE=
Page 1509 and 1510:
PRINT FORMATS PRINT FORMATS varlist
Page 1511 and 1512:
PRINT SPACE PRINT SPACE [OUTFILE=
Page 1513 and 1514:
PROBIT PROBIT is available in the R
Page 1515 and 1516:
v You can specify a grouping variab
Page 1517 and 1518:
NATRES Subcommand You can use NATRE
Page 1519 and 1520:
PROCEDURE OUTPUT PROCEDURE OUTPUT O
Page 1521 and 1522:
PROXIMITIES PROXIMITIES is availabl
Page 1523 and 1524:
STANDARDIZE Subcommand Use STANDARD
Page 1525 and 1526:
BLOCK. City-block or Manhattan dist
Page 1527 and 1528:
Conditional Probabilities. The foll
Page 1529 and 1530:
MISSING Subcommand MISSING controls
Page 1531 and 1532:
v If split-file processing is in ef
Page 1533 and 1534:
PROXSCAL PROXSCAL is available in t
Page 1535 and 1536:
Limitations v PROXSCAL needs at lea
Page 1537 and 1538:
13 10 2 0.86 13 11 2 0.97 13 12 2 0
Page 1539 and 1540:
v In this example, the VARIABLES su
Page 1541 and 1542:
v A weighted Euclidean model is fit
Page 1543 and 1544:
v The maximum number of dimensions
Page 1545 and 1546:
Example PROXSCAL VARIABLES=source01
Page 1547 and 1548:
QUICK CLUSTER QUICK CLUSTER is avai
Page 1549 and 1550:
CRITERIA Subcommand CRITERIA specif
Page 1551 and 1552:
OUTFILE Subcommand OUTFILE saves th
Page 1553 and 1554:
RANK RANK VARIABLES= varlist [({A**
Page 1555 and 1556:
RANK. Simple ranks. The values for
Page 1557 and 1558:
TUKEY. Tukey’s transformation, de
Page 1559 and 1560:
RATIO STATISTICS RATIO STATISTICS i
Page 1561 and 1562:
OUTFILE Subcommand OUTFILE saves th
Page 1563 and 1564:
v The median ratios and priced rela
Page 1565 and 1566:
RBF RBF is available in the Neural
Page 1567 and 1568:
By default, the RBF procedure stand
Page 1569 and 1570:
v The names of the covariates, if a
Page 1571 and 1572:
TESTING Keyword The TESTING keyword
Page 1573 and 1574:
The CPS keyword displays the case p
Page 1575 and 1576:
The LIFT keyword displays a lift ch
Page 1577 and 1578:
READ MODEL READ MODEL FILE=’filen
Page 1579 and 1580:
TYPE Subcommand TYPE indicates whet
Page 1581 and 1582:
RECODE For numeric variables: RECOD
Page 1583 and 1584:
Numeric Variables v Blank fields fo
Page 1585 and 1586:
v RECODE then specifically recodes
Page 1587 and 1588:
RECORD TYPE For mixed file types: R
Page 1589 and 1590:
* A nested file of accident records
Page 1591 and 1592:
* Specifying case on the record typ
Page 1593 and 1594:
v The first vehicle record has one
Page 1595 and 1596:
REFORMAT This command is no longer
Page 1597 and 1598:
REGRESSION REGRESSION is available
Page 1599 and 1600:
Analysis of Residuals, Fit, and Inf
Page 1601 and 1602:
RESID. Unstandardized residuals. DR
Page 1603 and 1604:
v Only one DEPENDENT subcommand can
Page 1605 and 1606:
BCOV. Variance-covariance matrix fo
Page 1607 and 1608:
v The CRITERIA subcommand relaxes t
Page 1609 and 1610:
Example REGRESSION DESCRIPTIVES=DEF
Page 1611 and 1612:
MISSING Subcommand MISSING controls
Page 1613 and 1614:
v ZRESID, the dependent variable, a
Page 1615 and 1616:
Example REGRESSION DEPENDENT=Y /MET
Page 1617 and 1618:
RELIABILITY RELIABILITY is availabl
Page 1619 and 1620:
Example RELIABILITY VARIABLES = ITE
Page 1621 and 1622:
METHOD Subcommand By default, RELIA
Page 1623 and 1624:
Example: Matrix Output to Active Da
Page 1625 and 1626:
RENAME VARIABLES RENAME VARIABLES {
Page 1627 and 1628:
REPEATING DATA REPEATING DATA [FILE
Page 1629 and 1630:
v Subsequent continuation records a
Page 1631 and 1632:
v Each record identifies the parent
Page 1633 and 1634:
v The specified location of the var
Page 1635 and 1636:
v Data are extracted from a mail-or
Page 1637 and 1638:
v ORDERID is defined on the DATA LI
Page 1639 and 1640:
REPORT REPORT is available in the S
Page 1641 and 1642:
v To obtain multiple break groups,
Page 1643 and 1644:
3 0 when ONEBREAKCOLUMN is on. Opti
Page 1645 and 1646:
variables specified on one BREAK su
Page 1647 and 1648:
display numeric values, REPORT firs
Page 1649 and 1650:
v The value or label is displayed o
Page 1651 and 1652:
characters long are wrapped. The de
Page 1653 and 1654:
FREQUENCY(min,max) . Frequency coun
Page 1655 and 1656:
v A summary title wider than the br
Page 1657 and 1658:
PREVIOUS(n) . Use the SUMMARY subco
Page 1659 and 1660:
REPOSITORY ATTRIBUTES REPOSITORY AT
Page 1661 and 1662:
AUTHOR Keyword The AUTHOR keyword s
Page 1663 and 1664:
REPOSITORY CONNECT REPOSITORY CONNE
Page 1665 and 1666:
ENCRYPTEDPWD. Password encryption.
Page 1667 and 1668:
REPOSITORY COPY REPOSITORY COPY FIL
Page 1669 and 1670:
FILE HANDLE custval /NAME='SPSSCR:/
Page 1671 and 1672:
REREAD REREAD [FILE=file] [COLUMN=e
Page 1673 and 1674:
END INPUT PROGRAM. BEGIN DATA 1 A B
Page 1675 and 1676:
v On the fifth and last record ther
Page 1677 and 1678:
RESPONSE RATE RESPONSE RATE is avai
Page 1679 and 1680:
Response rate is calculated as the
Page 1681 and 1682:
RESTORE RESTORE This command takes
Page 1683 and 1684:
RMV RMV new variables={LINT (varlis
Page 1685 and 1686:
v If span is not specified, it defa
Page 1687 and 1688:
ROC ROC is available in the Statist
Page 1689 and 1690:
TESTPOS(SMALL). The smaller the tes
Page 1691 and 1692:
SAMPLE SAMPLE {decimal value} {n FR
Page 1693 and 1694:
SAVE SAVE OUTFILE=’filespec’ [/
Page 1695 and 1696:
v The RENAME subcommand renames var
Page 1697 and 1698:
v The name changes are identical to
Page 1699 and 1700:
SAVE CODEPAGE SAVE CODEPAGE /OUTFIL
Page 1701 and 1702:
DROP and KEEP Subcommands DROP and
Page 1703 and 1704:
SAVE DATA COLLECTION This command i
Page 1705 and 1706:
OUTFILE subcommand OUTFILE specifie
Page 1707 and 1708:
SAVE MODEL SAVE MODEL OUTFILE=’fi
Page 1709 and 1710:
v This command saves all models tha
Page 1711 and 1712:
SAVE TRANSLATE SAVE TRANSLATE [{/OU
Page 1713 and 1714:
v VERSION=9 introduced for writing
Page 1715 and 1716:
v To save value labels instead of d
Page 1717 and 1718:
ODBC Database Sources The following
Page 1719 and 1720:
v SAVE TRANSLATE creates an Excel w
Page 1721 and 1722:
CELLS Subcommand For TYPE=XLS (/VER
Page 1723 and 1724:
CONNECT Subcommand CONNECT identifi
Page 1725 and 1726:
BINDING=ROW | COLUMN For ODBC bindi
Page 1727 and 1728:
v Multiple MAP subcommands are allo
Page 1729 and 1730:
SAVETM1 SAVETM1 /CONNECTION PMSYSUR
Page 1731 and 1732:
CUBE subcommand The required CUBE s
Page 1733 and 1734:
SCRIPT SCRIPT ’filename’ [(quot
Page 1735 and 1736:
SEASON SEASON is available in the F
Page 1737 and 1738:
v This example uses an additive mod
Page 1739 and 1740:
SELECT IF SELECT IF [(]logical expr
Page 1741 and 1742:
SELECT IF (V1 GE V2). v This exampl
Page 1743 and 1744:
SELECTPRED SELECTPRED is available
Page 1745 and 1746:
v For categorical predictors, the r
Page 1747 and 1748:
the specified value, the predictor
Page 1749 and 1750:
The SELECTED keyword displays a tab
Page 1751 and 1752:
SET Note: Square brackets used in t
Page 1753 and 1754:
v RNG and MTINDEX subcommands intro
Page 1755 and 1756:
Scratch File Compression. You can s
Page 1757 and 1758:
ONUMBERS, OVARS, TNUMBERS, and TVAR
Page 1759 and 1760:
JOURNAL Subcommand This subcommand
Page 1761 and 1762:
BLOCK Subcommand BLOCK specifies th
Page 1763 and 1764:
v This setting only affects reading
Page 1765 and 1766:
INTERNAL. Use the built-in sorting
Page 1767 and 1768:
v The GET command determines the fi
Page 1769 and 1770:
v If the administrator of the IBM S
Page 1771 and 1772:
BASETEXTDIRECTION Subcommand The BA
Page 1773 and 1774:
SHIFT VALUES SHIFT VALUES VARIABLE=
Page 1775 and 1776:
SHOW SHOW [ALL**] [BLANKS] [BOX] [B
Page 1777 and 1778:
CACHE. Cache active data file. This
Page 1779 and 1780:
PLUGINS. Displays which programmabi
Page 1781 and 1782:
SIMPLAN SIMPLAN is available in the
Page 1783 and 1784:
are known and remain constant when
Page 1785 and 1786:
v The setting CUSTOM=YES on the MOD
Page 1787 and 1788:
Table 87. Format specifications (co
Page 1789 and 1790:
v AUTOFIT. Indicates that the proba
Page 1791 and 1792:
For any of the above distributions,
Page 1793 and 1794:
v You can only iterate values for a
Page 1795 and 1796:
MEAN. Specifies to continue generat
Page 1797 and 1798:
SOURCE Keyword The SOURCE keyword s
Page 1799 and 1800:
SIMPREP BEGIN-SIMPREP END SIMPREP B
Page 1801 and 1802:
SIMRUN SIMRUN is available in the S
Page 1803 and 1804:
Customizing results from sensitivit
Page 1805 and 1806:
OVERLAYTARGETS. In the case of mult
Page 1807 and 1808:
v and less than or equal to 10. Thi
Page 1809 and 1810:
SORT CASES SORT CASES [BY] varlist[
Page 1811 and 1812:
v Avoid sequences of numbers or cha
Page 1813 and 1814:
SORT VARIABLES SORT VARIABLES [BY]
Page 1815 and 1816:
SPATIAL ASSOCIATION RULES SPATIAL A
Page 1817 and 1818:
Operations Unlike most statistical
Page 1819 and 1820:
BINEXCEPTIONS=fieldname(value list)
Page 1821 and 1822:
RULESUPPORT The percentage of cases
Page 1823 and 1824:
TARGETS=fieldname(id) fieldname(id)
Page 1825 and 1826:
SPATIAL MAPSPEC SPATIAL MAPSPEC [/M
Page 1827 and 1828:
MAP subcommand Each optional MAP su
Page 1829 and 1830:
CONTEXT A context data identifies f
Page 1831 and 1832:
SPATIAL TEMPORAL PREDICTION SPATIAL
Page 1833 and 1834:
MAPSPEC subcommand The MAPSPEC subc
Page 1835 and 1836:
INCREMENT=integer The increment for
Page 1837 and 1838:
For variogram-based parametric mode
Page 1839 and 1840:
SPCHART SPCHART is available in the
Page 1841 and 1842:
Control Limits. You can specify a s
Page 1843 and 1844:
Figure 88. X-bar chart An R chart p
Page 1845 and 1846:
the category variable or the BY var
Page 1847 and 1848:
SPCHART /TEMPLATE=’ctrl.sgt’ /I
Page 1849 and 1850:
e enclosed in quotes (see ). The va
Page 1851 and 1852:
The variable that is specified befo
Page 1853 and 1854:
If data are organized as shown in T
Page 1855 and 1856:
STDDEV. The process standard deviat
Page 1857 and 1858:
v A duplicated keyword is silently
Page 1859 and 1860:
REFERENCE Subcommand REFERENCE cont
Page 1861 and 1862:
SPECTRA SPECTRA is available in the
Page 1863 and 1864:
CENTER Subcommand CENTER adjusts th
Page 1865 and 1866:
CROSS Subcommand CROSS is used to s
Page 1867 and 1868:
References Bloomfield, P. 1976. Fou
Page 1869 and 1870:
SPLIT FILE SPLIT FILE [{LAYERED }]
Page 1871 and 1872:
STAR JOIN STAR JOIN /SELECT {* | al
Page 1873 and 1874:
FROM subcommand The FROM subcommand
Page 1875 and 1876:
Example: STAR JOIN with two lookup
Page 1877 and 1878:
Example: STAR JOIN with two keys re
Page 1879 and 1880:
STRING STRING varlist (An) [/varlis
Page 1881 and 1882:
SUBTITLE SUBTITLE [’]text[’] Th
Page 1883 and 1884:
SUMMARIZE SUMMARIZE is available in
Page 1885 and 1886:
SUMMARIZE /TABLES=address value mar
Page 1887 and 1888:
DEPENDENT. User-missing values are
Page 1889 and 1890:
SURVIVAL SURVIVAL is available in t
Page 1891 and 1892:
Examples SURVIVAL TABLE=MOSFREE BY
Page 1893 and 1894:
Example SURVIVAL ONSSURV BY TREATMN
Page 1895 and 1896:
CALCULATE Subcommand CALCULATE cont
Page 1897 and 1898:
v When WRITE is specified without a
Page 1899 and 1900:
SYSFILE INFO SYSFILE INFO [FILE=]
Page 1901 and 1902:
TCM ANALYSIS TCM ANALYSIS is availa
Page 1903 and 1904:
Operations v The procedure does not
Page 1905 and 1906:
SCENARIO subcommand The SCENARIO su
Page 1907 and 1908:
“Specifying expressions” on pag
Page 1909 and 1910:
TCM APPLY TCM APPLY is available in
Page 1911 and 1912:
were built. If the observations wer
Page 1913 and 1914:
the lists consist of two items, one
Page 1915 and 1916:
v INCLUDE specifies a list of value
Page 1917 and 1918:
LEVELS Specifies the number of caus
Page 1919 and 1920:
v Enclose file specifications in qu
Page 1921 and 1922:
TCM MODEL TCM MODEL is available in
Page 1923 and 1924:
[ENCRYPTEDPW={NO**|YES}] Fields gro
Page 1925 and 1926:
Operations v The procedure honors t
Page 1927 and 1928:
AUTODETECT Specifies that the inter
Page 1929 and 1930:
- HOUR or DURATION(INTERVAL=HOUR):
Page 1931 and 1932:
v EXCLUDE specifies a list of value
Page 1933 and 1934:
TOLERANCE This setting controls the
Page 1935 and 1936:
PRINT more significant connection.
Page 1937 and 1938:
AIC the -2 log likelihood. Smaller
Page 1939 and 1940:
v At least one FIELDS subcommand in
Page 1941 and 1942:
TDISPLAY TDISPLAY [{ALL** }] {model
Page 1943 and 1944:
TEMPORARY TEMPORARY This command do
Page 1945 and 1946:
TIME PROGRAM TIME PROGRAM. [command
Page 1947 and 1948:
TITLE TITLE [’]text[’] This com
Page 1949 and 1950:
TMS BEGIN TMS BEGIN /DESTINATION OU
Page 1951 and 1952:
on whether the target variable exis
Page 1953 and 1954:
v Although the FREQUENCIES command
Page 1955 and 1956:
TMS END TMS END [/PRINT RESULTS={SU
Page 1957 and 1958:
TMS IMPORT TMS IMPORT /INFILE TRANS
Page 1959 and 1960:
SYNTAX=filename. Syntax file. Speci
Page 1961 and 1962:
TMS MERGE TMS MERGE /DESTINATION OU
Page 1963 and 1964:
TREE TREE is available in the Decis
Page 1965 and 1966:
The four growing methods have diffe
Page 1967 and 1968:
used as an independent variable. Th
Page 1969 and 1970:
TOPDOWN. Tree grows top down. The r
Page 1971 and 1972:
SUMMARYTABLE Keyword The SUMMARYTAB
Page 1973 and 1974:
RULES Subcommand The RULES subcomma
Page 1975 and 1976:
v If new names are not specified, o
Page 1977 and 1978:
MINCHILDSIZE specifies the minimum
Page 1979 and 1980:
PEARSON. Pearson chi-square. This i
Page 1981 and 1982:
EQUAL. Misclassification costs are
Page 1983 and 1984:
v A warning is issued if you specif
Page 1985 and 1986:
TARGETRESPONSE Subcommand The TARGE
Page 1987 and 1988:
TSAPPLY TSAPPLY is available in the
Page 1989 and 1990:
v If you choose to reestimate model
Page 1991 and 1992:
PREDICT THRU YEAR 2006 MONTH 6. TSA
Page 1993 and 1994:
PREDICT THRU YEAR 2006 MONTH 6. TSA
Page 1995 and 1996:
Specify one of the following option
Page 1997 and 1998:
v Note that SEASONLENGTH is used to
Page 1999 and 2000:
TSET TSET [PRINT={DEFAULT**}] [/NEW
Page 2001 and 2002:
v For procedures with multiple iter
Page 2003 and 2004:
TSHOW TSHOW This command takes effe
Page 2005 and 2006:
TSMODEL TSMODEL is available in the
Page 2007 and 2008:
Automatic Model Identification. The
Page 2009 and 2010:
v The procedure invokes the Expert
Page 2011 and 2012:
RESIDPACF. Residual partial autocor
Page 2013 and 2014:
SERIESPLOT Subcommand The SERIESPLO
Page 2015 and 2016:
Example TSMODEL /SAVE PREDICTED(Pre
Page 2017 and 2018:
v PREFIX specifies that the models
Page 2019 and 2020:
The TRYSEASONAL keyword specifies w
Page 2021 and 2022:
v You can specify a single value or
Page 2023 and 2024:
v You can specify a single value or
Page 2025 and 2026:
LOCALTREND. Local trend. An outlier
Page 2027 and 2028:
TSPLOT TSPLOT VARIABLES= variable n
Page 2029 and 2030:
Figure 98. TSPLOT VARIABLES=SHARE E
Page 2031 and 2032:
v The only specification on ID is a
Page 2033 and 2034:
NOJOIN. Plot the values of each var
Page 2035 and 2036:
v If no variables are specified, th
Page 2037 and 2038:
T-TEST T-TEST is available in the S
Page 2039 and 2040:
v When specified along with GROUPS,
Page 2041 and 2042:
TWOSTEP CLUSTER TWOSTEP CLUSTER is
Page 2043 and 2044:
TWOSTEP CLUSTER /CATEGORICAL VARIAB
Page 2045 and 2046:
NOSTANDARDIZE Subcommand The NOSTAN
Page 2047 and 2048:
UNIANOVA UNIANOVA is available in t
Page 2049 and 2050:
v The variable list must be specifi
Page 2051 and 2052:
SSTYPE(2). Type II sum-of-squares m
Page 2053 and 2054:
LOF. Lack of fit. Lack of fit test
Page 2055 and 2056:
v The length of the list of real nu
Page 2057 and 2058:
DIFFERENCE. Difference or reverse H
Page 2059 and 2060:
v If the REGWT subcommand is specif
Page 2061 and 2062:
v Assume that A has three levels an
Page 2063 and 2064:
UPDATE UPDATE FILE={master file} [P
Page 2065 and 2066:
v If the active dataset is named as
Page 2067 and 2068:
v Two variables on CLIENTS are rena
Page 2069 and 2070:
USE USE [{start date }] [THRU [{end
Page 2071 and 2072:
VALIDATEDATA VALIDATEDATA is availa
Page 2073 and 2074:
v VALIDATEDATA ignores invalid rule
Page 2075 and 2076:
The ID list specifies case ID varia
Page 2077 and 2078:
CASEREPORT Subcommand The CASEREPOR
Page 2079 and 2080:
Minimum. This property is optional*
Page 2081 and 2082:
VALUE LABELS VALUE LABELS varlist v
Page 2083 and 2084:
v The DATA LIST command defines two
Page 2085 and 2086:
VARCOMP VARCOMP is available in the
Page 2087 and 2088:
v Only factors that are listed afte
Page 2089 and 2090:
OUTFILE Subcommand The OUTFILE subc
Page 2091 and 2092:
VARIABLE ALIGNMENT VARIABLE ALIGNME
Page 2093 and 2094:
VARIABLE ATTRIBUTE VARIABLE ATTRIBU
Page 2095 and 2096:
Figure 104. Variable attributes VAR
Page 2097 and 2098:
VARIABLE LEVEL VARIABLE LEVEL varli
Page 2099 and 2100:
VARIABLE ROLE VARIABLE ROLE [/INPUT
Page 2101 and 2102:
VARIABLE WIDTH VARIABLE WIDTH varli
Page 2103 and 2104:
VARSTOCASES VARSTOCASES /MAKE new v
Page 2105 and 2106:
MAKE Subcommand The MAKE subcommand
Page 2107 and 2108:
v The original data file is structu
Page 2109 and 2110:
VECTOR VECTOR {vector name=varname
Page 2111 and 2112:
v For the first case, the missing v
Page 2113 and 2114:
v Aggregating by the variable STUDE
Page 2115 and 2116:
VERIFY VERIFY [VARIABLES=series nam
Page 2117 and 2118:
WEIGHT WEIGHT {BY varname} {OFF } T
Page 2119 and 2120:
WLS WLS is available in the Regress
Page 2121 and 2122:
v The POWER subcommand specifies th
Page 2123 and 2124:
WLS VARIABLES = X1 WITH Y1 /SOURCE=
Page 2125 and 2126:
WRITE WRITE [OUTFILE=’file’] [E
Page 2127 and 2128:
v A format specification following
Page 2129 and 2130:
WRITE OUTFILE=’/data/personnel.tx
Page 2131 and 2132:
WRITE FORMATS WRITE FORMATS varlist
Page 2133 and 2134:
XGRAPH XGRAPH is available in the S
Page 2135 and 2136:
v The final BY variable is used as
Page 2137 and 2138:
Variable Placeholder When summaries
Page 2139 and 2140:
SIZE Keyword The SIZE keyword speci
Page 2141 and 2142:
PANEL Subcommand The PANEL subcomma
Page 2143 and 2144:
)CHART. Displays the chart expressi
Page 2145 and 2146:
Table 120. Pre-aggregated data with
Page 2147 and 2148:
XSAVE XSAVE OUTFILE='filespec' [/KE
Page 2149 and 2150:
GET FILE=hubempl.sav. TEMPORARY. RE
Page 2151 and 2152:
v In a file compressed with ZCOMPRE
Page 2153 and 2154:
Commands and Program States Command
Page 2155 and 2156:
Table 121. Commands and program sta
Page 2157 and 2158:
The END CASE, END FILE, POINT, RECO
Page 2159 and 2160:
Defining Complex Files Most data fi
Page 2161 and 2162:
Y 1988 P JONES 900 P GREGORY 400 R
Page 2163 and 2164:
Table 124. Modified grouped data fi
Page 2165 and 2166:
DATA LIST / ID 9-10 GRADE 12-13 HAN
Page 2167 and 2168:
If your data file does not have a v
Page 2169 and 2170:
Using the Macro Facility A macro is
Page 2171 and 2172:
with that of an existing variable o
Page 2173 and 2174:
DEFINE !TOTMAC ( BREAKVR = !TOKENS(
Page 2175 and 2176:
v COMPUTE statements calculate Z an
Page 2177 and 2178:
SAMPLE R= .66 , N= 30 , POPULATION
Page 2179 and 2180:
the standard deviation (for normall
Page 2181 and 2182:
Canonical Correlation and Ridge Reg
Page 2183 and 2184:
File Specifications for IBM SPSS Co
Page 2185 and 2186:
v The handle cust is associated wit
Page 2187 and 2188:
TABLES and IGRAPH Command Syntax Co
Page 2189 and 2190:
Notices This information was develo
Page 2191 and 2192:
Trademarks IBM, the IBM logo, and i
Page 2193 and 2194:
Index Special characters !BLANKS (f
Page 2195 and 2196:
alpha value for post hoc tests 833
Page 2197 and 2198:
AVONLY (keyword) MANOVA command 104
Page 2199 and 2200:
captions CTABLES command 481 CAPWID
Page 2201 and 2202:
CILEVEL (keyword) (continued) CSGLM
Page 2203 and 2204:
component loadings CATPCA command 2
Page 2205 and 2206:
COUNT (function) GGRAPH command 803
Page 2207 and 2208:
CSSELECT (command) (continued) CLAS
Page 2209 and 2210:
DATASET ACTIVATE (command) (continu
Page 2211 and 2212:
difference contrasts (continued) CS
Page 2213 and 2214:
EDITION (subcommand) SAVE TRANSLATE
Page 2215 and 2216:
Exponential Smoothing command synta
Page 2217 and 2218:
FORMAT (keyword) CODEBOOK command 2
Page 2219 and 2220:
GGRAPH (command) (continued) LABEL
Page 2221 and 2222:
HOMALS (command) (continued) exclud
Page 2223 and 2224:
INITIAL (keyword) (continued) CATPC
Page 2225 and 2226:
KMEANS (keyword) QUICK CLUSTER comm
Page 2227 and 2228:
log transformation PROBIT command 1
Page 2229 and 2230:
MAT (keyword) MATRIX DATA command 1
Page 2231 and 2232:
MEDIAN (keyword) (continued) FREQUE
Page 2233 and 2234:
mode FREQUENCIES command 702 MODE (
Page 2235 and 2236:
N_VECTOR (keyword) MATRIX DATA comm
Page 2237 and 2238:
NOREFERENCE (keyword) TSPLOT comman
Page 2239 and 2240:
OPRINCIPAL (keyword) CATPCA command
Page 2241 and 2242:
pairwise comparisons (continued) CT
Page 2243 and 2244:
PLE (function) GGRAPH command 803 P
Page 2245 and 2246:
PRINCALS (command) (continued) valu
Page 2247 and 2248:
R charts SPCHART command 1810 R sta
Page 2249 and 2250:
REPEATED (keyword) (continued) LOGI
Page 2251 and 2252:
RR (keyword) CLUSTER command 286 PR
Page 2253 and 2254:
scripts storing to or retrieving fr
Page 2255 and 2256:
SHOWDIM (subcommand) CROSSTABS comm
Page 2257 and 2258:
SPECTRA (command) (continued) cente
Page 2259 and 2260:
SUBSTR (function) 84 substrings 98
Page 2261 and 2262:
TCM MODEL (command) (continued) FIL
Page 2263 and 2264:
TSAPPLY (command) (continued) AUXIL
Page 2265 and 2266:
VALIDATEDATA (command) (continued)
Page 2267 and 2268:
Ward's method CLUSTER command 289 W
Page 2270:
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