SAS/STAT(R) 9.2 User's Guide
Acknowledgments
Whats New in SAS/STAT- Overview
- CALIS Procedure
- CLUSTER Procedure
- CORRESP Procedure
- FACTOR Procedure
- FREQ Procedure
- GAM Procedure
- GENMOD Procedure
- GLIMMIX Procedure
- GLM Procedure
- GLMPOWER Procedure
- GLMSELECT Procedure
- HPMIXED Procedure (Experimental)
- KRIGE2D Procedure
- LIFEREG Procedure
- LIFETEST Procedure
- LOGISTIC Procedure
- LOESS Procedure
- Macros
- MCMC Procedure (Experimental)
- MDS Procedure
- MIXED Procedure
- MULTTEST Procedure
- NLIN Procedure
- NLMIXED Procedure
- NPAR1WAY Procedure
- PHREG Procedure
- PLS Procedure
- POWER Procedure
- PRINCOMP Procedure
- PRINQUAL Procedure
- PROBIT Procedure
- PSS Application
- QUANTREG Procedure
- REG Procedure
- RSREG Procedure
- SEQDESIGN Procedure (Experimental
- SEQTEST Procedure (Experimental)
- SIM2D Procedure
- SIMNORMAL Procedure
- STDIZE Procedure
- SURVEYFREQ Procedure
- SURVEYLOGISTIC Procedure
- SURVEYMEANS Procedure
- SURVEYREG Procedure
- SURVEYSELECT Procedure
- TCALIS Procedure (Experimental)
- TRANSREG Procedure
- TTEST Procedure
- VARCOMP Procedure
- VARIOGRAM Procedure
- Introduction
- Introduction to Statistical Modeling with SAS/STAT Software
- Introduction to Regression Procedures
- Introduction to Analysis of Variance Procedures
- Introduction to Mixed Modeling Procedures
- Introduction to Bayesian Analysis Procedures
- Introduction to Categorical Data Analysis Procedures
- Introduction to Multivariate Procedures
- Introduction to Discriminant Procedures
- Introduction to Clustering Procedures
- Introduction to Scoring, Standardization, and Ranking Procedures
- Introduction to Survival Analysis Procedures
- Introduction to Survey Sampling and Analysis Procedures
- The Four Types of Estimable Functions
- Introduction to Nonparametric Analysis
- Introduction to Structural Equation Modeling with Latent Variables
- Overview: Structural Equation Modeling with Latent Variables
- TCALIS and CALIS Procedures
- Comparison of the TCALIS and SYSLIN Procedures
- Model Specification
- Estimation Methods
- Statistical Inference
- Goodness-of-Fit Statistics
- Optimization Methods
- Structural Equation Models and the LINEQS Modeling Language
- Path Diagrams and the PATH Modeling Language
- Some Measurement Models
- A Combined Measurement-Structural Model with Reciprocal Influence and Correlated Residuals
- References
- Shared Concepts and Topics
- Introduction to Power and Sample Size Analysis
- Using the Output Delivery System
- Statistical Graphics Using ODS
- Introduction
- Getting Started with ODS Statistical Graphics
- A Primer on ODS Statistical Graphics
- Syntax
- Selecting and Viewing Graphs
- Graphics Image Files
- Graph Size and Resolution
- ODS Graph Editor
- The Default Template Libraries and the ODS PATH
- Styles
- Graph Templates
- Statistical Graphics Procedures
- Examples of ODS Statistical Graphics
- The ACECLUS Procedure
- The ANOVA Procedure
- The BOXPLOT Procedure
- The CALIS Procedure
- The CANCORR Procedure
- The CANDISC Procedure
- The CATMOD Procedure
- The CLUSTER Procedure
- The CORRESP Procedure
- The DISCRIM Procedure
- The DISTANCE Procedure
- The FACTOR Procedure
- The FASTCLUS Procedure
- The FREQ Procedure
- The GAM Procedure
- The GENMOD Procedure
- The GLIMMIX Procedure
- The GLM Procedure
- The GLMMOD Procedure
- The GLMPOWER Procedure
- The GLMSELECT Procedure
- The HPMIXED Procedure
- The INBREED Procedure
- The KDE Procedure
- The KRIGE2D Procedure
- The LATTICE Procedure
- The LIFEREG Procedure
- The LIFETEST Procedure
- The LOESS Procedure
- The LOGISTIC Procedure
- The MCMC Procedure
- The MDS Procedure
- The MI Procedure
- The MIANALYZE Procedure
- The MIXED Procedure
- The MODECLUS Procedure
- The MULTTEST Procedure
- The NESTED Procedure
- The NLIN Procedure
- The NLMIXED Procedure
- The NPAR1WAY Procedure
- The ORTHOREG Procedure
- The PHREG Procedure
- The PLAN Procedure
- The PLS Procedure
- The POWER Procedure
- The Power and Sample Size Application
- The PRINCOMP Procedure
- The PRINQUAL Procedure
- The PROBIT Procedure
- The QUANTREG Procedure
- The REG Procedure
- The ROBUSTREG Procedure
- The RSREG Procedure
- The SCORE Procedure
- The SEQDESIGN Procedure
- The SEQTEST Procedure
- The SIM2D Procedure
- The SIMNORMAL Procedure
- The STDIZE Procedure
- The STEPDISC Procedure
- The SURVEYFREQ Procedure
- The SURVEYLOGISTIC Procedure
- The SURVEYMEANS Procedure
- The SURVEYREG Procedure
- The SURVEYSELECT Procedure
- The TCALIS Procedure
- The TPSPLINE Procedure
- The TRANSREG Procedure
- The TREE Procedure
- The TTEST Procedure
- The VARCLUS Procedure
- The VARCOMP Procedure
- The VARIOGRAM Procedure
- Special SAS Data Sets
Index here
| Product | Release |
|---|---|
| SAS/STAT | 9.2 |
- Type
- Usage and Reference
- Copyright Date
- March 2008
- Last Updated
- 15Apr2008
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| What’s New in SAS/STAT |
STDIZE Procedure
The NOTRUNCATE option in the FREQ statement specifies that frequency values are not truncated to integers. Quantile methods now accept noninteger frequencies and handle weights. In order to improve numerical precision, PROC STDIZE now creates double-precision values for output variables instead of inheriting the length of the variables in the analysis.
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Copyright © 2007 by SAS Institute Inc., Cary, NC, USA. All rights reserved.