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F
-
F statistics
- CLUSTER procedure "Miscellaneous Formulas"
- CLUSTER procedure "PROC CLUSTER Statement"
- GENMOD procedure "F Statistics"
- GENMOD procedure "F Statistics"
- Rao's approximation (CANCORR) procedure
-
factor
- defined for factor analysis
-
factor analysis
- compared to component analysis "Background"
- compared to component analysis "Overview"
-
factor analysis model
- CALIS procedure "FACTOR Model Statement"
- CALIS procedure "Structural Equation Models"
- CALIS procedure "Structural Equation Models"
- COSAN statement (CALIS)
- identification (CALIS)
- LINEQS statement (CALIS)
- MATRIX statement (CALIS)
- path diagram (CALIS) "RAM Model Statement"
- path diagram (CALIS) "RAM Model Statement"
- RAM statement (CALIS)
- specification (CALIS)
- structural model example (CALIS)
-
factor analytic structures
- MIXED procedure
-
factor loadings
- CALIS procedure
-
FACTOR procedure
- BY statement
- CALIS procedure "FACTOR Model Statement"
- CALIS procedure "PROC CALIS Statement"
- CALIS procedure "Syntax"
- CALIS procedure "Syntax"
- computational resources
- degrees of freedom
- FREQ statement
- Heywood cases
- number of factors extracted
- OUT= data sets
- output data sets "Outline of Use"
- output data sets "PROC FACTOR Statement"
- PARTIAL statement
- PRIORS statement
- time requirements
- VAR statement
- variances
- WEIGHT statement
-
FACTOR procedure, FACTOR statement
- ALL option
- CONVERGE= option
- CORR option
- COVARIANCE option
- DATA= option
- EIGENVECTORS option
- GAMMA= option
- HEYWOOD option
- HKPOWER= option
- MAXITER= option
- METHOD= option
- MINEIGEN= option
- MSA option
- NFACTORS= option
- NOBS= option
- NOCORR option
- NOINT option
- NOPRINT option
- NORM= option
- NPLOT= option
- OUT= option
- OUTSTAT= option
- PLOT option
- POWER= option
- PREPLOT option
- PREROTATE= option
- PRINT option
- PRIORS= option
- PROPORTION= option
- RANDOM= option
- REORDER option
- RESIDUALS option
- ROTATE= option
- SCORE option
- SCREE option
- SIMPLE option
- SINGULAR= option
- TARGET= option
- ULTRAHEYWOOD option
- VARDEF= option
- WEIGHT option
-
factor rotation methods
-
factor scores
- CALIS procedure "Displayed Output"
- CALIS procedure "Output Data Sets"
- CALIS procedure "Output Data Sets"
- displaying (CALIS)
-
factor scoring coefficients
- FACTOR procedure
- SCORE procedure "Example 57.1: Factor Scoring Coefficients"
- SCORE procedure "Scoring Coefficients Data Set"
-
factor specification
- REPEATED statement (GLM)
-
FACTOR statement, CALIS procedure
-
factor structure
-
factor-value-settings option
- OUTPUT statement (PLAN)
-
factors
- PLAN procedure "FACTORS Statement"
- PLAN procedure "PROC PLAN Statement"
- PLAN procedure "Specifying Factor Structures"
- PLS procedure
-
FACTORS statement
- CATMOD procedure
- PLAN procedure
-
failure time
- LIFEREG procedure
-
false discovery rate
- adjustment (MULTTEST)
-
false discovery rate (MULTTEST)
- p-value adjustments
-
false negative, false positive rate
- LOGISTIC procedure "Classification Table"
- LOGISTIC procedure "Example 39.5: Stratified Sampling"
- LOGISTIC procedure "MODEL Statement"
-
fast Fourier transform
- KDE procedure
- MULTTEST procedure
-
FAST option
- MODEL statement (LOGISTIC)
-
FASTCLUS procedure
- algorithm for updating cluster seeds
- bin-sort algorithm
- cluster deletion
- clustering criterion "Overview"
- clustering criterion "PROC FASTCLUS Statement"
- clustering criterion "PROC FASTCLUS Statement"
- clustering methods "Background"
- clustering methods "Background"
- compared to other procedures
- computational problems, convergence
- computational resources "Computational Resources"
- computational resources "Computational Resources"
- controlling iterations
- convergence criterion
- distance "Background"
- distance "Missing Values"
- distance "Overview"
- DRIFT option
- Ekblom-Newton algorithm
- homotopy parameter
- imputation of missing values "PROC FASTCLUS Statement"
- imputation of missing values "PROC FASTCLUS Statement"
- incompatibilities
- iteratively reweighted least-squares
- Lp clustering "Overview"
- Lp clustering "PROC FASTCLUS Statement"
- MAXCLUSTERS= option
- MEAN= data sets
- memory requirements
- Merle-Spath algorithm
- missing values "Background"
- missing values "Background"
- missing values "Missing Values"
- missing values "PROC FASTCLUS Statement"
- missing values "PROC FASTCLUS Statement"
- Newton algorithm
- OUT= data sets
- outliers
- output data sets "Output Data Sets"
- output data sets "PROC FASTCLUS Statement"
- output data sets "PROC FASTCLUS Statement"
- output data sets "PROC FASTCLUS Statement"
- output data sets "PROC FASTCLUS Statement"
- output table names
- OUTSTAT= data set "Output Data Sets"
- OUTSTAT= data set "PROC FASTCLUS Statement"
- RADIUS= option "Background"
- RADIUS= option "Background"
- random number generator
- scale estimates "Output Data Sets"
- scale estimates "Output Data Sets"
- scale estimates "PROC FASTCLUS Statement"
- scale estimates "PROC FASTCLUS Statement"
- scale estimates "Updates in the FASTCLUS Procedure"
- seed replacement "Background"
- seed replacement "PROC FASTCLUS Statement"
- weighted cluster means
-
FASTCLUS procedure, BY statement
-
FASTCLUS procedure, FREQ statement
-
FASTCLUS procedure, ID statement
-
FASTCLUS procedure, PROC FASTCLUS statement
- BINS= option
- CLUSTER= option
- CONVERGE= option
- DATA= option
- DELETE= option
- DISTANCE option
- DRIFT option
- HC= option
- HP= option
- IMPUTE option
- INSTAT= option
- IRLS option
- L= option
- LEAST= option
- LIST option
- MAXCLUSTERS= option
- MAXITER= option
- MEAN= option
- NOMISS option
- NOPRINT option
- OUT= option
- OUTITER option
- OUTS= option
- OUTSEED= option
- OUTSTAT= option
- RADIUS= option
- RANDOM= option
- REPLACE= option
- SEED= option
- SHORT option
- STRICT= option
- SUMMARY option
- VARDEF= option
-
FASTCLUS procedure, VAR statement
-
FASTCLUS procedure, WEIGHT statement
-
FCONV= option
- MODEL statement (LOGISTIC)
- NLOPTIONS statement (CALIS) "NLOPTIONS Statement"
- NLOPTIONS statement (CALIS) "NLOPTIONS Statement"
- PROC CALIS statement
- PROC NLMIXED statement
-
FCONV2= option
- NLOPTIONS statement (CALIS)
- PROC NLMIXED statement
-
FD= option
- PROC NLMIXED statement
-
FDCODE option
- PROC CALIS statement
-
FDHESSIAN= option
- PROC NLMIXED statement
-
FDIGITS= option
- NLOPTIONS statement (CALIS)
- PROC NLMIXED statement
-
FDR option
- PROC MULTTEST statement "p-Value Adjustments"
- PROC MULTTEST statement "PROC MULTTEST Statement"
-
fiducial limits
-
FILLCHAR= option
- PROC TREE statement
-
finite differencing
- NLMIXED procedure "Finite Difference Approximations of Derivatives"
- NLMIXED procedure "PROC NLMIXED Statement"
-
finite population correction (fpc)
- SURVEYMEANS procedure
-
finite population correction factor
-
first canonical variable
-
first-order method
- NLMIXED procedure
-
first-stage sampling unit
-
Fisher exact test
- FREQ procedure "Chi-Square Tests and Statistics"
- FREQ procedure "Chi-Square Tests and Statistics"
- MULTTEST procedure "CONTRAST Statement"
- MULTTEST procedure "Example 43.4: Fisher Test with Permutation Resampling"
- MULTTEST procedure "Example 43.4: Fisher Test with Permutation Resampling"
- MULTTEST procedure "Statistical Tests"
- MULTTEST procedure "TEST Statement"
-
Fisher information matrix
- example (MIXED)
- MIXED procedure
-
FISHER option
- EXACT statement (FREQ)
- OUTPUT statement (FREQ)
- TABLES statement (FREQ)
- TEST statement (MULTTEST) "CONTRAST Statement"
- TEST statement (MULTTEST) "Example 43.4: Fisher Test with Permutation Resampling"
- TEST statement (MULTTEST) "Statistical Tests"
-
Fisher's LSD test
-
Fisher's scoring method
- GENMOD procedure "Generalized Linear Models Theory"
- GENMOD procedure "MODEL Statement"
- LOGISTIC procedure "Iterative Algorithms for Model-Fitting"
- LOGISTIC procedure "MODEL Statement"
- LOGISTIC procedure "MODEL Statement"
- MIXED procedure "Computational Issues"
- MIXED procedure "PROC MIXED Statement"
- MIXED procedure "PROC MIXED Statement"
-
FIT= option
- PROC MDS statement
-
fit summary
- SURVEYREG procedure
-
fixed effects
- MIXED procedure
- sum-to-zero assumptions
- VARCOMP procedure "Fixed and Random Effects"
- VARCOMP procedure "Overview"
-
FIXED= option
- MODEL statement (VARCOMP)
-
fixed-effects model
- VARCOMP procedure
-
fixed-effects parameters
- MIXED procedure "Mixed Models Theory"
- MIXED procedure "Overview"
-
fixed-radius kernels
- MODECLUS procedure
-
FLAT option
- PRIOR statement (MIXED)
-
Fleiss-Cohen weights
-
flexible-beta method
- CLUSTER procedure "Clustering Methods"
- CLUSTER procedure "Overview"
- CLUSTER procedure "PROC CLUSTER Statement"
- CLUSTER procedure "PROC CLUSTER Statement"
-
floating point errors
- NLMIXED procedure
-
FLOW option
- PROC NLIN statement
- PROC NLMIXED statement
-
folded form F statistic
-
FONT= option
- PLOT statement (BOXPLOT)
-
FORM= option
- MODEL statement (KRIGE2D)
- SIMULATE statement (SIM2D)
-
FORMCHAR= option
- PROC FREQ statement
- PROC LIFETEST statement
-
FORMULA= option
- PROC MDS statement
-
forward selection
- LOGISTIC procedure "Effect Selection Methods"
- LOGISTIC procedure "MODEL Statement"
- PHREG procedure "MODEL Statement"
- PHREG procedure "Variable Selection Methods"
- REG procedure "Model-Selection Methods"
- REG procedure "Overview"
-
Forward-Dolittle transformation
-
fractional frequencies
- PHREG procedure
-
Freeman-Halton test
-
Freeman-Tukey test
- MULTTEST procedure "Example 43.2: Freeman-Tukey and t-Tests with Bootstrap Resampling"
- MULTTEST procedure "Statistical Tests"
- MULTTEST procedure "TEST Statement"
-
FREQ option
- MODEL statement (CATMOD)
-
FREQ procedure
- alpha level "EXACT Statement"
- alpha level "TABLES Statement"
- binomial proportion "Binomial Proportion"
- binomial proportion "Example 28.3: Computing Binomial Proportions for One-Way Frequency Tables"
- Bowker's test of symmetry
- Breslow-Day test
- cell count data "Example 28.1: Creating an Output Data Set with Table Cell Frequencies"
- cell count data "Inputting Frequency Counts"
- chi-square tests "Chi-Square Tests and Statistics"
- chi-square tests "Chi-Square Tests and Statistics"
- chi-square tests "Chi-Square Tests and Statistics"
- chi-square tests "Example 28.2: Computing Chi-square Tests for One-Way Frequency Tables"
- chi-square tests "Example 28.4: Analyzing a 2x2 Contingency Table"
- Cochran's Q test
- Cochran-Mantel-Haenszel statistics
- computation time, limiting
- computational methods
- computational resources "Computational Resources"
- computational resources "Exact Statistics"
- contingency coefficient
- contingency table
- continuity-adjusted chi-square "Chi-Square Tests and Statistics"
- continuity-adjusted chi-square "Chi-Square Tests and Statistics"
- correlation statistic
- Cramer's V statistic
- default tables "TABLES Statement"
- default tables "TABLES Statement"
- displayed output
- exact p-values
- EXACT statement, used with TABLES
- exact tests "EXACT Statement"
- exact tests "Exact Statistics"
- exact tests "Example 28.7: Computing the Cochran-Armitage Trend Test"
- Fisher exact test
- Friedman's chi-square statistic
- gamma statistic
- general association statistic
- grouping variables
- input data sets "Inputting Frequency Counts"
- input data sets "PROC FREQ Statement"
- kappa coefficient "Tests and Measures of Agreement"
- kappa coefficient "Tests and Measures of Agreement"
- Kendall's tau-b statistic
- lambda asymmetric
- lambda symmetric
- likelihood-ratio chi-square test
- Mantel-Haenszel chi-square test
- McNemar's test
- measures of association
- missing values
- Monte Carlo estimation "EXACT Statement"
- Monte Carlo estimation "EXACT Statement"
- Monte Carlo estimation "Exact Statistics"
- multiway tables "Displayed Output"
- multiway tables "Displayed Output"
- multiway tables "Displayed Output"
- network algorithm
- odds ratio "Cochran-Mantel-Haenszel Statistics"
- odds ratio "Cochran-Mantel-Haenszel Statistics"
- odds ratio "Cochran-Mantel-Haenszel Statistics"
- odds ratio "Odds Ratio and Relative Risks for 2[times ]2 Tables"
- ODS table names
- one-way frequency tables "Chi-Square Tests and Statistics"
- one-way frequency tables "Chi-Square Tests and Statistics"
- one-way frequency tables "Displayed Output"
- one-way frequency tables "Displayed Output"
- one-way frequency tables "Example 28.2: Computing Chi-square Tests for One-Way Frequency Tables"
- order of variables
- output data sets "Example 28.1: Creating an Output Data Set with Table Cell Frequencies"
- output data sets "Example 28.5: Creating an Output Data Set Containing Chi-Square Statistics"
- output data sets "Output Data Sets"
- output data sets "Output Data Sets"
- output data sets "Output Data Sets"
- output data sets "OUTPUT Statement"
- output variable prefixes
- OUTPUT, used with TABLES or EXACT
- overall kappa coefficient
- Pearson chi-square test "Chi-Square Tests and Statistics"
- Pearson chi-square test "Chi-Square Tests and Statistics"
- Pearson correlation coefficient
- phi coefficient
- polychoric correlation coefficient
- relative risk "Cochran-Mantel-Haenszel Statistics"
- relative risk "Cochran-Mantel-Haenszel Statistics"
- relative risk "Cochran-Mantel-Haenszel Statistics"
- relative risk "Odds Ratio and Relative Risks for 2[times ]2 Tables"
- row mean scores statistic
- scores
- simple kappa coefficient
- Somers' D statistics
- Spearman rank correlation coefficient
- statistical computations
- stratified table
- Stuart's tau-c statistic
- two-way frequency tables "Chi-Square Tests and Statistics"
- two-way frequency tables "Chi-Square Tests and Statistics"
- two-way frequency tables "Example 28.4: Analyzing a 2x2 Contingency Table"
- uncertainty coefficients
- weighted kappa coefficient
-
FREQ procedure, BY statement
-
FREQ procedure, EXACT statement
- AGREE option
- ALPHA= option
- BINOMIAL option
- CHISQ option "EXACT Statement"
- CHISQ option "Example 28.4: Analyzing a 2x2 Contingency Table"
- FISHER option
- JT option
- KAPPA option
- LRCHI option
- MAXTIME= option
- MC option
- MCNEM option
- MEASURES option
- MHCHI option
- N= option
- OR option "EXACT Statement"
- OR option "Example 28.4: Analyzing a 2x2 Contingency Table"
- PCHI option
- PCORR option
- SCORR option
- SEED= option
- TREND option "EXACT Statement"
- TREND option "Example 28.7: Computing the Cochran-Armitage Trend Test"
- WTKAP option
-
FREQ procedure, OUTPUT statement
- AGREE option
- AJCHI option
- ALL option
- BDCHI option
- BINOMIAL option
- CHISQ option
- CMH option
- CMH1 option
- CMH2 option
- CMHCOR option
- CMHGA option
- CMHRMS option
- COCHQ option
- CONTGY option
- CRAMV option
- EQKAP option
- EQWKP option
- EXACT option
- FISHER option
- GAMMA option
- JT option
- KAPPA option
- KENTB option
- LAMCR option
- LAMDAS option
- LAMRC option
- LGOR option
- LGRRC1 option
- LGRRC2 option
- LRCHI option "Example 28.5: Creating an Output Data Set Containing Chi-Square Statistics"
- LRCHI option "OUTPUT Statement"
- MCNEM option
- MEASURES option
- MHCHI option
- MHOR option
- MHRRC1 option
- MHRRC2 option
- N option
- NMISS option
- OR option
- OUT= option
- PCHI option "Example 28.5: Creating an Output Data Set Containing Chi-Square Statistics"
- PCHI option "OUTPUT Statement"
- PCORR option
- PHI option
- PLCORR option
- RDIF1 option
- RDIF2 option
- RELRISK option
- RISKDIFF option
- RISKDIFF1 option
- RISKDIFF2 option
- RRC1 option
- RRC2 option
- RSK1 option
- RSK11 option
- RSK12 option
- RSK2 option
- RSK21 option
- RSK22 option
- SCORR option
- SMDCR option
- SMDRC option
- STUTC option
- TREND option
- TSYMM option
- U option
- UCR option
- URC option
- WTKAP option
-
FREQ procedure, PROC FREQ statement
- COMPRESS option
- DATA= option
- FORMCHAR= option
- NOPRINT option
- ORDER= option
- PAGE option
-
FREQ procedure, TABLES statement
- ALL option
- ALPHA= option
- BINOMIAL option "Example 28.3: Computing Binomial Proportions for One-Way Frequency Tables"
- BINOMIAL option "TABLES Statement"
- CELLCHI2 option
- CHISQ option "Chi-Square Tests and Statistics"
- CHISQ option "Example 28.4: Analyzing a 2x2 Contingency Table"
- CHISQ option "TABLES Statement"
- CL option
- CMH option
- CMH1 option
- CMH2 option
- CONVERGE= option
- CUMCOL option
- DEVIATION option
- EXPECTED option
- FISHER option
- JT option
- LIST option
- MAXITER= option
- MEASURES option
- MISSING option
- MISSPRINT option
- NOCOL option
- NOCUM option
- NOFREQ option
- NOPERCENT option
- NOPRINT option
- NOROW option
- option
- OUT= option
- OUTEXPECT option "Example 28.1: Creating an Output Data Set with Table Cell Frequencies"
- OUTEXPECT option "TABLES Statement"
- OUTPCT option
- PLCORR option
- PRINTKWT option
- RELRISK option "Example 28.4: Analyzing a 2x2 Contingency Table"
- RELRISK option "TABLES Statement"
- RISKDIFF option
- SCORES= option "Example 28.8: Computing Friedman's Chi-Square Statistic"
- SCORES= option "TABLES Statement"
- SCOROUT option
- SPARSE option "Example 28.1: Creating an Output Data Set with Table Cell Frequencies"
- SPARSE option "TABLES Statement"
- TESTF= option "Chi-Square Tests and Statistics"
- TESTF= option "TABLES Statement"
- TESTP= option "Chi-Square Tests and Statistics"
- TESTP= option "Example 28.2: Computing Chi-square Tests for One-Way Frequency Tables"
- TESTP= option "TABLES Statement"
- TOTPCT option
- TREND option "Example 28.7: Computing the Cochran-Armitage Trend Test"
- TREND option "TABLES Statement"
-
FREQ procedure, TEST statement
- AGREE option
- GAMMA option
- KAPPA option
- KENTB option
- LAMCR option
- LAMDAS option
- LAMRC option
- MEASURES option
- PCORR option
- SCORR option
- SMDCR option "Example 28.7: Computing the Cochran-Armitage Trend Test"
- SMDCR option "TEST Statement"
- SMDRC option
- STUTC option
- U option
- UCR option
- URC option
- WTKAP option
-
FREQ procedure, WEIGHT statement
-
FREQ statement
- and RMSSTD statement (CLUSTER) "FREQ Statement"
- and RMSSTD statement (CLUSTER) "RMSSTD Statement"
- ANOVA procedure
- CALIS procedure
- CANDISC procedure
- DISCRIM procedure
- GENMOD procedure
- GLM procedure
- GLMMOD procedure
- LOGISTIC procedure
- MODECLUS procedure
- MULTTEST procedure
- NPAR1WAY procedure
- PHREG procedure
- PRINCOMP procedure
- PRINQUAL procedure
- REG procedure
- STDIZE procedure
- STEPDISC procedure
- TPSPLINE procedure
- TRANSREG procedure
- TREE procedure
- TTEST procedure
- VARCLUS procedure
-
FREQOUT option
- PROC CORRESP statement
-
frequency tables
- generating (CATMOD) "MODEL Statement"
- generating (CATMOD) "MODEL Statement"
- input to CATMOD procedure
- one-way (FREQ) "Chi-Square Tests and Statistics"
- one-way (FREQ) "Chi-Square Tests and Statistics"
- one-way (FREQ) "Displayed Output"
- one-way (FREQ) "Displayed Output"
- one-way (FREQ) "Example 28.2: Computing Chi-square Tests for One-Way Frequency Tables"
- two-way (FREQ) "Chi-Square Tests and Statistics"
- two-way (FREQ) "Chi-Square Tests and Statistics"
- two-way (FREQ) "Example 28.4: Analyzing a 2x2 Contingency Table"
-
frequency variable
- LOGISTIC procedure
- PRINQUAL procedure
- programming statements (PHREG)
- TRANSREG procedure
- value (PHREG)
-
Friedman's chi-square statistic
-
FSIZE= option
- NLOPTIONS statement (CALIS)
- PROC NLMIXED statement
-
FT option
- TEST statement (MULTTEST) "Example 43.2: Freeman-Tukey and t-Tests with Bootstrap Resampling"
- TEST statement (MULTTEST) "Statistical Tests"
-
FTOL= option
- NLOPTIONS statement (CALIS)
- PROC CALIS statement
-
FTOL2= option
- NLOPTIONS statement (CALIS)
-
full sibs mating
- INBREED procedure "Computational Details"
- INBREED procedure "Computational Details"
-
full-rank coding
- TRANSREG procedure
-
FULLX option
- MODEL statement (MIXED) "LSMEANS Statement"
- MODEL statement (MIXED) "MODEL Statement"
-
FUZZ= option
- PROC STDIZE statement
-
fuzzy coding
- CORRESP procedure
-
FWDLINK statement, GENMOD procedure
-
_F_ specification
- MODEL statement (CATMOD)
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