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MLP . . . . . . . . . . . . . . . 1125 Overview . . . . . . . . . . . . . . 1126 Examples . . . . . . . . . . . . . . 1128 Variable Lists . . . . . . . . . . . . . 1129 EXCEPT Subcommand . . . . . . . . . . 1130 RESCALE Subcommand . . . . . . . . . 1130 PARTITION Subcommand. . . . . . . . . 1131 ARCHITECTURE Subcommand . . . . . . . 1132 CRITERIA Subcommand . . . . . . . . . 1134 STOPPINGRULES Subcommand . . . . . . 1137 MISSING Subcommand . . . . . . . . . 1138 PRINT Subcommand . . . . . . . . . . 1138 PLOT Subcommand . . . . . . . . . . . 1140 SAVE Subcommand . . . . . . . . . . . 1141 OUTFILE Subcommand . . . . . . . . . 1142 MODEL CLOSE . . . . . . . . . . 1143 Overview . . . . . . . . . . . . . . 1143 MODEL HANDLE . . . . . . . . . 1145 Overview . . . . . . . . . . . . . . 1145 NAME Subcommand . . . . . . . . . . 1147 FILE keyword . . . . . . . . . . . . . 1148 OPTIONS subcommand . . . . . . . . . 1148 MISSING keyword . . . . . . . . . . 1148 MAP subcommand . . . . . . . . . . . 1149 MODEL LIST . . . . . . . . . . . 1151 Overview . . . . . . . . . . . . . . 1151 MODEL NAME . . . . . . . . . . 1153 Overview . . . . . . . . . . . . . . 1153 Example. . . . . . . . . . . . . . . 1153 MRSETS . . . . . . . . . . . . . 1155 Overview . . . . . . . . . . . . . . 1155 Syntax Conventions . . . . . . . . . . . 1156 MDGROUP Subcommand . . . . . . . . . 1156 MCGROUP Subcommand . . . . . . . . . 1157 DELETE Subcommand . . . . . . . . . . 1157 DISPLAY Subcommand. . . . . . . . . . 1157 MULT RESPONSE . . . . . . . . . 1159 Overview . . . . . . . . . . . . . . 1159 GROUPS Subcommand. . . . . . . . . . 1161 VARIABLES Subcommand . . . . . . . . 1161 FREQUENCIES Subcommand . . . . . . . 1162 TABLES Subcommand . . . . . . . . . . 1162 PAIRED Keyword . . . . . . . . . . 1163 CELLS Subcommand . . . . . . . . . . 1164 BASE Subcommand . . . . . . . . . . . 1164 MISSING Subcommand . . . . . . . . . 1164 FORMAT Subcommand . . . . . . . . . 1165 MULTIPLE CORRESPONDENCE . . . 1167 Overview . . . . . . . . . . . . . . 1168 Example. . . . . . . . . . . . . . . 1168 Options . . . . . . . . . . . . . . . 1169 VARIABLES Subcommand . . . . . . . . 1170 ANALYSIS Subcommand . . . . . . . . . 1170 DISCRETIZATION Subcommand . . . . . . 1170 GROUPING Keyword . . . . . . . . . 1171 NCAT Keyword . . . . . . . . . . . 1171 MISSING Subcommand . . . . . . . . . 1171 PASSIVE Keyword . . . . . . . . . . 1172 ACTIVE Keyword . . . . . . . . . . 1172 SUPPLEMENTARY Subcommand . . . . . . 1172 CONFIGURATION Subcommand . . . . . . 1172 DIMENSION Subcommand . . . . . . . . 1172 NORMALIZATION Subcommand . . . . . . 1173 MAXITER Subcommand . . . . . . . . . 1173 CRITITER Subcommand . . . . . . . . . 1174 PRINT Subcommand . . . . . . . . . . 1174 PLOT Subcommand . . . . . . . . . . . 1175 SAVE Subcommand . . . . . . . . . . . 1177 OUTFILE Subcommand . . . . . . . . . 1178 MULTIPLE IMPUTATION . . . . . . 1179 Overview . . . . . . . . . . . . . . 1179 Examples . . . . . . . . . . . . . . 1181 Variable Lists . . . . . . . . . . . . . 1182 IMPUTE Subcommand . . . . . . . . . . 1183 CONSTRAINTS Subcommand . . . . . . . 1185 MISSINGSUMMARIES Subcommand . . . . . 1186 IMPUTATIONSUMMARIES Subcommand . . . 1187 ANALYSISWEIGHT Subcommand . . . . . . 1188 OUTFILE Subcommand . . . . . . . . . 1188 MVA . . . . . . . . . . . . . . . 1189 Overview . . . . . . . . . . . . . . 1190 Syntax Rules . . . . . . . . . . . . . 1191 Symbols . . . . . . . . . . . . . . 1191 Missing Indicator Variables . . . . . . . . 1191 VARIABLES Subcommand . . . . . . . . 1192 CATEGORICAL Subcommand . . . . . . . 1192 MAXCAT Subcommand . . . . . . . . . 1192 ID Subcommand . . . . . . . . . . . . 1192 NOUNIVARIATE Subcommand . . . . . . . 1193 TTEST Subcommand . . . . . . . . . . 1193 Display of Statistics . . . . . . . . . . 1193 CROSSTAB Subcommand . . . . . . . . . 1194 MISMATCH Subcommand . . . . . . . . 1194 DPATTERN Subcommand . . . . . . . . . 1195 MPATTERN Subcommand. . . . . . . . . 1195 TPATTERN Subcommand . . . . . . . . . 1196 LISTWISE Subcommand . . . . . . . . . 1196 PAIRWISE Subcommand . . . . . . . . . 1196 EM Subcommand . . . . . . . . . . . 1197 REGRESSION Subcommand . . . . . . . . 1198 N OF CASES . . . . . . . . . . . 1201 Overview . . . . . . . . . . . . . . 1201 NAIVEBAYES . . . . . . . . . . . 1203 Overview . . . . . . . . . . . . . . 1203 Examples . . . . . . . . . . . . . . 1205 Variable Lists . . . . . . . . . . . . . 1206 EXCEPT Subcommand . . . . . . . . . . 1207 FORCE Subcommand . . . . . . . . . . 1207 xviii IBM SPSS Statistics 23 Command Syntax Reference
TRAININGSAMPLE Subcommand . . . . . . 1207 SUBSET Subcommand . . . . . . . . . . 1208 CRITERIA Subcommand . . . . . . . . . 1209 MISSING Subcommand . . . . . . . . . 1209 PRINT Subcommand . . . . . . . . . . 1209 SAVE Subcommand . . . . . . . . . . . 1210 OUTFILE Subcommand . . . . . . . . . 1210 NEW FILE . . . . . . . . . . . . 1211 Overview . . . . . . . . . . . . . . 1211 NLR . . . . . . . . . . . . . . . 1213 Overview . . . . . . . . . . . . . . 1214 Operations . . . . . . . . . . . . . . 1215 Weighting Cases . . . . . . . . . . . 1215 Missing Values . . . . . . . . . . . 1215 Examples . . . . . . . . . . . . . . 1216 MODEL PROGRAM Command . . . . . . . 1216 Caution: Initial Values . . . . . . . . . 1216 DERIVATIVES Command . . . . . . . . . 1217 CONSTRAINED FUNCTIONS Command . . . 1218 CLEAR MODEL PROGRAMS Command. . . . 1218 CNLR and NLR Commands . . . . . . . . 1218 OUTFILE Subcommand . . . . . . . . . 1218 FILE Subcommand . . . . . . . . . . . 1219 PRED Subcommand . . . . . . . . . . . 1219 SAVE Subcommand . . . . . . . . . . . 1220 CRITERIA Subcommand . . . . . . . . . 1221 Checking Derivatives for CNLR and NLR . . 1221 Iteration Criteria for CNLR . . . . . . . 1221 Iteration Criteria for NLR . . . . . . . . 1222 BOUNDS Subcommand . . . . . . . . . 1223 Simple Bounds and Linear Constraints . . . 1223 Nonlinear Constraints . . . . . . . . . 1223 LOSS Subcommand . . . . . . . . . . . 1224 BOOTSTRAP Subcommand . . . . . . . . 1224 References . . . . . . . . . . . . . . 1225 NOMREG. . . . . . . . . . . . . 1227 Overview . . . . . . . . . . . . . . 1228 Variable List . . . . . . . . . . . . . 1229 CRITERIA Subcommand . . . . . . . . . 1229 FULLFACTORIAL Subcommand . . . . . . 1230 INTERCEPT Subcommand . . . . . . . . 1230 MISSING Subcommand . . . . . . . . . 1230 MODEL Subcommand . . . . . . . . . . 1231 STEPWISE Subcommand . . . . . . . . . 1233 OUTFILE Subcommand . . . . . . . . . 1234 PRINT Subcommand . . . . . . . . . . 1234 SAVE Subcommand . . . . . . . . . . . 1235 SCALE Subcommand . . . . . . . . . . 1236 SUBPOP Subcommand . . . . . . . . . . 1236 TEST Subcommand . . . . . . . . . . . 1236 NONPAR CORR . . . . . . . . . . 1239 Overview . . . . . . . . . . . . . . 1239 Examples . . . . . . . . . . . . . . 1240 VARIABLES Subcommand . . . . . . . . 1240 PRINT Subcommand . . . . . . . . . . 1240 SAMPLE Subcommand. . . . . . . . . . 1241 MISSING Subcommand . . . . . . . . . 1241 MATRIX Subcommand . . . . . . . . . . 1241 Format of the Matrix Data File . . . . . . 1242 Split Files . . . . . . . . . . . . . 1242 Missing Values . . . . . . . . . . . 1242 Examples . . . . . . . . . . . . . 1242 NPTESTS . . . . . . . . . . . . 1245 Overview . . . . . . . . . . . . . . 1246 MISSING Subcommand . . . . . . . . . 1247 CRITERIA Subcommand . . . . . . . . . 1247 ONESAMPLE Subcommand . . . . . . . . 1248 INDEPENDENT Subcommand . . . . . . . 1251 RELATED Subcommand . . . . . . . . . 1253 NPAR TESTS . . . . . . . . . . . 1257 Overview . . . . . . . . . . . . . . 1258 BINOMIAL Subcommand . . . . . . . . . 1259 CHISQUARE Subcommand . . . . . . . . 1260 COCHRAN Subcommand . . . . . . . . . 1261 FRIEDMAN Subcommand . . . . . . . . 1261 J-T Subcommand . . . . . . . . . . . . 1262 K-S Subcommand (One-Sample). . . . . . . 1262 K-S Subcommand (Two-Sample). . . . . . . 1263 K-W Subcommand . . . . . . . . . . . 1264 KENDALL Subcommand . . . . . . . . . 1264 M-W Subcommand . . . . . . . . . . . 1265 MCNEMAR Subcommand . . . . . . . . 1265 MEDIAN Subcommand . . . . . . . . . 1266 MH Subcommand . . . . . . . . . . . 1266 MOSES Subcommand . . . . . . . . . . 1267 RUNS Subcommand . . . . . . . . . . 1268 SIGN Subcommand . . . . . . . . . . . 1268 W-W Subcommand . . . . . . . . . . . 1269 WILCOXON Subcommand . . . . . . . . 1270 STATISTICS Subcommand. . . . . . . . . 1270 MISSING Subcommand . . . . . . . . . 1270 SAMPLE Subcommand. . . . . . . . . . 1271 METHOD Subcommand . . . . . . . . . 1271 References . . . . . . . . . . . . . . 1272 NUMERIC . . . . . . . . . . . . 1273 Overview . . . . . . . . . . . . . . 1273 Examples . . . . . . . . . . . . . . 1273 OLAP CUBES . . . . . . . . . . . 1275 Overview . . . . . . . . . . . . . . 1275 Options . . . . . . . . . . . . . . . 1276 TITLE and FOOTNOTE Subcommands . . . . 1276 CELLS Subcommand . . . . . . . . . . 1276 CREATE Subcommand . . . . . . . . . . 1277 HIDESMALLCOUNTS Subcommand . . . . . 1279 OMS. . . . . . . . . . . . . . . 1281 Overview . . . . . . . . . . . . . . 1283 Basic Operation . . . . . . . . . . . . 1283 SELECT Subcommand . . . . . . . . . . 1284 IF Subcommand . . . . . . . . . . . . 1286 COMMANDS Keyword . . . . . . . . 1286 SUBTYPES Keyword . . . . . . . . . 1286 Contents xix
Page 1 and 2: IBM SPSS Statistics 23 Command Synt
Page 3 and 4: Contents Introduction: A Guide to C
Page 5 and 6: Interaction between APPLY TEMPLATE
Page 7 and 8: EQUAL Subcommand . . . . . . . . .
Page 9 and 10: Formats for Summaries . . . . . . .
Page 11 and 12: ID Subcommand . . . . . . . . . . .
Page 13 and 14: ENCODING Subcommand . . . . . . . .
Page 15 and 16: Input Programs. . . . . . . . . . .
Page 17: FORMAT Keyword . . . . . . . . . .
Page 21 and 22: OUTPUT MODIFY . . . . . . . . . 135
Page 23 and 24: Example: Matrix Output to Working F
Page 25 and 26: Examples . . . . . . . . . . . . .
Page 27 and 28: Examples . . . . . . . . . . . . .
Page 29 and 30: COSTS Subcommand . . . . . . . . .
Page 31 and 32: WRITE . . . . . . . . . . . . . . 2
Page 33 and 34: Introduction: A Guide to Command Sy
Page 35 and 36: Apply Dictionary. Applies variable
Page 37 and 38: Select If. Selects cases based on l
Page 39 and 40: OMSEnd. Ends active OMS commands. O
Page 41 and 42: Nonparametric. Collection of one-sa
Page 43 and 44: Overals. Nonlinear canonical correl
Page 45 and 46: Release 22.0 v CLT, CGT, CIN, and C
Page 47 and 48: Release 22.0 v PASSWORD keyword int
Page 49 and 50: DETECTANOMALY Release 14.0 v Comman
Page 51 and 52: Release 19 v ENCODING subcommand in
Page 53 and 54: MISSING VALUES Release 16.0 v Limit
Page 55 and 56: Release 22.0 v FORMAT=REPORTHTML an
Page 57 and 58: Release 18.0 v PER CONNECT deprecat
Page 59 and 60: Release 16.0 v Command introduced a
Page 61 and 62: v Value EXTERNAL added to list for
Page 63 and 64: v Command introduced. Release 23.0
Page 65 and 66: Release 15.0 v Command introduced.
Page 67 and 68: 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
Page 495 and 496:
v INCLUDEMRSETS keyword introduced
Page 497 and 498:
Figure 25. Multiple response set ta
Page 499 and 500:
Figure 30. Table with multiple, sta
Page 501 and 502:
However, if two multiple response v
Page 503 and 504:
Table 27. Summary functions: all va
Page 505 and 506:
Table 29. Summary functions: multip
Page 507 and 508:
Table 31. Inclusion/exclusion of va
Page 509 and 510:
Figure 39. Multiple variables stack
Page 511 and 512:
v The sort function must be used in
Page 513 and 514:
Figure 45. Table with combined summ
Page 515 and 516:
CTABLES /TABLE AGECAT BY MARITAL /C
Page 517 and 518:
Figure 50. Results with column diff
Page 519 and 520:
PCOMPUTE Subcommand In addition to
Page 521 and 522:
CURVEFIT CURVEFIT is available in t
Page 523 and 524:
v For the models QUADRATIC and CUBI
Page 525 and 526:
SAVE Subcommand SAVE saves the valu
Page 527 and 528:
DATA LIST DATA LIST [FILE=’file
Page 529 and 530:
v If the data are in an external fi
Page 531 and 532:
v In code page mode, the default is
Page 533 and 534:
v Each slash in the variable defini
Page 535 and 536:
* Concatenate three raw data files.
Page 537 and 538:
* Mixing column-style and FORTRAN-l
Page 539 and 540:
specified in the format, the additi
Page 541 and 542:
v Characters from Greek, Cyrillic,
Page 543 and 544:
DATAFILE ATTRIBUTE DATAFILE ATTRIBU
Page 545 and 546:
DATASET ACTIVATE DATASET ACTIVATE n
Page 547 and 548:
DATASET CLOSE DATASET CLOSE {name}
Page 549 and 550:
DATASET COPY DATASET COPY name [WIN
Page 551 and 552:
v The second DATASET COPY command c
Page 553 and 554:
DATASET DECLARE DATASET DECLARE nam
Page 555 and 556:
DATASET DISPLAY DATASET DISPLAY Thi
Page 557 and 558:
DATASET NAME DATASET NAME name [WIN
Page 559 and 560:
v Then a table from a database is r
Page 561 and 562:
DATE DATE keyword [starting value [
Page 563 and 564:
v Starting values for HOUR, MINUTE,
Page 565 and 566:
v This command creates three variab
Page 567 and 568:
1 167 1 167 2 0 2 0 2 1 2 1 2 2 2 2
Page 569 and 570:
DEFINE-!ENDDEFINE DEFINE macro name
Page 571 and 572:
v At the end of the macro body, spe
Page 573 and 574:
check. /* Second call of defined ma
Page 575 and 576:
* Macro call. macdef V1 V2 V3. macd
Page 577 and 578:
frequencies variables = !1 /statist
Page 579 and 580:
Table 39. Expressions and results E
Page 581 and 582:
v The second SET command changes th
Page 583 and 584:
v The macro call assigns three vari
Page 585 and 586:
DELETE VARIABLES DELETE VARIABLES v
Page 587 and 588:
DESCRIPTIVES DESCRIPTIVES is availa
Page 589 and 590:
DESCRIPTIVES VARIABLES=ALL /SAVE. v
Page 591 and 592:
INCLUDE. Include user-missing value
Page 593 and 594:
DETECTANOMALY DETECTANOMALY is avai
Page 595 and 596:
Operations The DETECTANOMALY proced
Page 597 and 598:
must be a positive integer greater
Page 599 and 600:
NORMS. Display the continuous varia
Page 601 and 602:
DISCRIMINANT DISCRIMINANT is availa
Page 603 and 604:
v The GROUPS, VARIABLES, and SELECT
Page 605 and 606:
v Variables with higher inclusion l
Page 607 and 608:
v PIN and POUT take precedence over
Page 609 and 610:
v The keywords CLASS, SCORES, and P
Page 611 and 612:
RAW. Unstandardized canonical discr
Page 613 and 614:
MATRIX Subcommand MATRIX reads and
Page 615 and 616:
GET FILE=UNIONBK /KEEP WORLD FOOD S
Page 617 and 618:
DISPLAY DISPLAY [SORTED] [{NAMES**
Page 619 and 620:
DMCLUSTER DMCLUSTER is available in
Page 621 and 622:
DMLOGISTIC DMLOGISTIC is available
Page 623 and 624:
DMROC DMROC is available in the Dir
Page 625 and 626:
DMTABLES DMTABLES is available in t
Page 627 and 628:
DMTREE DMTREE is available in the D
Page 629 and 630:
DO IF DO IF [(]logical expression[)
Page 631 and 632:
Syntax Rules v The ELSE IF command
Page 633 and 634:
v If none of the expressions are tr
Page 635 and 636:
DO IF (YearHired GT 87). COMPUTE Bo
Page 637 and 638:
DO REPEAT-END REPEAT DO REPEAT stan
Page 639 and 640:
58 +COMPUTE new2=secondVar*2 59 +CO
Page 641 and 642:
2 0 DO REPEAT R=REGION1 TO REGION5/
Page 643 and 644:
DROP DOCUMENTS DROP DOCUMENTS This
Page 645 and 646:
ECHO ECHO "text". This command take
Page 647 and 648:
END CASE END CASE Example * Restruc
Page 649 and 650:
END DATA. SORT CASES ISBN. DO IF $C
Page 651 and 652:
v The variables HEAD1 and HEAD2 con
Page 653 and 654:
END FILE END FILE Example INPUT PRO
Page 655 and 656:
ERASE ERASE FILE=’file’ This co
Page 657 and 658:
EXAMINE EXAMINE provides stem-and-l
Page 659 and 660:
v The procedure examines values of
Page 661 and 662:
EMPIRICAL. Empirical distribution f
Page 663 and 664:
The n in the label shows up to six
Page 665 and 666:
EXECUTE EXECUTE. This command reads
Page 667 and 668:
EXPORT EXPORT OUTFILE=’file’ [/
Page 669 and 670:
v Unless you are certain that the r
Page 671 and 672:
v v RENAME renames NAME and WAGE to
Page 673 and 674:
EXTENSION EXTENSION ACTION={ADD** }
Page 675 and 676:
EXSMOOTH EXSMOOTH [VARIABLES=] seri
Page 677 and 678:
Limitations v Maximum 1 VARIABLES s
Page 679 and 680:
v The eight values sum to 0, since
Page 681 and 682:
v To turn off the values specified
Page 683 and 684:
FACTOR FACTOR is available in the S
Page 685 and 686:
v The CRITERIA subcommand can be sp
Page 687 and 688:
v Only one ANALYSIS subcommand is a
Page 689 and 690:
FACTOR VARS=V1 TO V12 /SELECT=COMPL
Page 691 and 692:
v Six factors are extracted using t
Page 693 and 694:
REG. Regression method. This is the
Page 695 and 696:
Split Files v FACTOR can read or wr
Page 697 and 698:
FILE HANDLE FILE HANDLE handle /NAM
Page 699 and 700:
LRECL Subcommand LRECL specifies th
Page 701 and 702:
FILE LABEL FILE LABEL label text Th
Page 703 and 704:
FILE TYPE-END FILE TYPE For mixed f
Page 705 and 706:
v String values specified on the RE
Page 707 and 708:
Specification Order v FILE TYPE mus
Page 709 and 710:
CASE Subcommand CASE specifies a na
Page 711 and 712:
NOWARN. Suppress warning messages.
Page 713 and 714:
DATA LIST /PSNGR_NO 11 AGE 13-14 SE
Page 715 and 716:
FILTER FILTER {BY var} {OFF } This
Page 717 and 718:
FINISH FINISH Overview FINISH ends
Page 719 and 720:
FIT FIT [[ERRORS=] residual series
Page 721 and 722:
Output Considerations for SSE The s
Page 723 and 724:
FLIP FLIP [VARIABLES= {ALL** }] {va
Page 725 and 726:
v If the variable’s values are no
Page 727 and 728:
FORMATS FORMATS varlist(format) [va
Page 729 and 730:
FREQUENCIES FREQUENCIES is availabl
Page 731 and 732:
NOTABLE. Suppress all frequency tab
Page 733 and 734:
v A single value in parentheses spe
Page 735 and 736:
Specifying a particular statistic F
Page 737 and 738:
GENLIN GENLIN is available in the A
Page 739 and 740:
{integer} [CIMEANPREDL[({varname })
Page 741 and 742:
v The following variables, if speci
Page 743 and 744:
DESCENDING. Factor variable values
Page 745 and 746:
MULTINOMIAL. Multinomial probabilit
Page 747 and 748:
CRITERIA Subcommand The CRITERIA su
Page 749 and 750:
as NEGBIN(number), where number is
Page 751 and 752:
SCALE = MLE | DEVIANCE | PEARSON |
Page 753 and 754:
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 and 806:
QUALIFIER subcommand The QUALIFIERS
Page 807 and 808:
GET SAS GET SAS DATA=’file’ [DS
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
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v Only factors that are listed afte
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OUTFILE Subcommand The OUTFILE subc
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VARIABLE ALIGNMENT VARIABLE ALIGNME
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VARIABLE ATTRIBUTE VARIABLE ATTRIBU
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Figure 104. Variable attributes VAR
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VARIABLE LEVEL VARIABLE LEVEL varli
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VARIABLE ROLE VARIABLE ROLE [/INPUT
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VARIABLE WIDTH VARIABLE WIDTH varli
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VARSTOCASES VARSTOCASES /MAKE new v
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MAKE Subcommand The MAKE subcommand
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v The original data file is structu
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VECTOR VECTOR {vector name=varname
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v For the first case, the missing v
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v Aggregating by the variable STUDE
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VERIFY VERIFY [VARIABLES=series nam
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WEIGHT WEIGHT {BY varname} {OFF } T
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WLS WLS is available in the Regress
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v The POWER subcommand specifies th
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WLS VARIABLES = X1 WITH Y1 /SOURCE=
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WRITE WRITE [OUTFILE=’file’] [E
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v A format specification following
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WRITE OUTFILE=’/data/personnel.tx
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WRITE FORMATS WRITE FORMATS varlist
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XGRAPH XGRAPH is available in the S
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v The final BY variable is used as
Page 2137 and 2138:
Variable Placeholder When summaries
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SIZE Keyword The SIZE keyword speci
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PANEL Subcommand The PANEL subcomma
Page 2143 and 2144:
)CHART. Displays the chart expressi
Page 2145 and 2146:
Table 120. Pre-aggregated data with
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XSAVE XSAVE OUTFILE='filespec' [/KE
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GET FILE=hubempl.sav. TEMPORARY. RE
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v In a file compressed with ZCOMPRE
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Commands and Program States Command
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Table 121. Commands and program sta
Page 2157 and 2158:
The END CASE, END FILE, POINT, RECO
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Defining Complex Files Most data fi
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Y 1988 P JONES 900 P GREGORY 400 R
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Table 124. Modified grouped data fi
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DATA LIST / ID 9-10 GRADE 12-13 HAN
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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(
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v COMPUTE statements calculate Z an
Page 2177 and 2178:
SAMPLE R= .66 , N= 30 , POPULATION
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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
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Notices This information was develo
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Trademarks IBM, the IBM logo, and i
Page 2193 and 2194:
Index Special characters !BLANKS (f
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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
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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
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Exponential Smoothing command synta
Page 2217 and 2218:
FORMAT (keyword) CODEBOOK command 2
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GGRAPH (command) (continued) LABEL
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HOMALS (command) (continued) exclud
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INITIAL (keyword) (continued) CATPC
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KMEANS (keyword) QUICK CLUSTER comm
Page 2227 and 2228:
log transformation PROBIT command 1
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MAT (keyword) MATRIX DATA command 1
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MEDIAN (keyword) (continued) FREQUE
Page 2233 and 2234:
mode FREQUENCIES command 702 MODE (
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N_VECTOR (keyword) MATRIX DATA comm
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NOREFERENCE (keyword) TSPLOT comman
Page 2239 and 2240:
OPRINCIPAL (keyword) CATPCA command
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pairwise comparisons (continued) CT
Page 2243 and 2244:
PLE (function) GGRAPH command 803 P
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PRINCALS (command) (continued) valu
Page 2247 and 2248:
R charts SPCHART command 1810 R sta
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REPEATED (keyword) (continued) LOGI
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RR (keyword) CLUSTER command 286 PR
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scripts storing to or retrieving fr
Page 2255 and 2256:
SHOWDIM (subcommand) CROSSTABS comm
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SPECTRA (command) (continued) cente
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SUBSTR (function) 84 substrings 98
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TCM MODEL (command) (continued) FIL
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TSAPPLY (command) (continued) AUXIL
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VALIDATEDATA (command) (continued)
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Ward's method CLUSTER command 289 W
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