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Base SAS 9.3
Base SAS Procedures- Title Page
- What's New in Base SAS 9.3 Procedures
- About This Book
- Concepts
- Procedures
- APPEND Procedure
- CALENDAR Procedure
- Syntax: CALENDAR Procedure
- Overview: CALENDAR Procedure
- Concepts: CALENDAR Procedure
- Results: CALENDAR Procedure
- Examples: CALENDAR Procedure
- Example 1: Schedule Calendar with Holidays: 5-Day Default
- Example 2: Schedule Calendar Containing Multiple Calendars
- Example 3: Multiple Schedule Calendars with Atypical Work Shifts (Separated Output)
- Example 4: Multiple Schedule Calendars with Atypical Work Shifts (Combined and Mixed Output)
- Example 5: Schedule Calendar, Blank or with Holidays
- Example 6: Calculating a Schedule Based on Completion of Predecessor Tasks
- Example 7: Summary Calendar with MEAN Values by Observation
- Example 8: Multiple Summary Calendars with Atypical Work Shifts (Separated Output)
- CATALOG Procedure
- CHART Procedure
- CIMPORT Procedure
- COMPARE Procedure
- Syntax: COMPARE Procedure
- Overview: COMPARE Procedure
- Concepts: COMPARE Procedure
- Results: COMPARE Procedure
- Examples: COMPARE Procedure
- Example 1: Producing a Complete Report of the Differences
- Example 2: Comparing Variables in Different Data Sets
- Example 3: Comparing a Variable Multiple Times
- Example 4: Comparing Variables That Are in the Same Data Set
- Example 5: Comparing Observations with an ID Variable
- Example 6: Comparing Values of Observations Using an Output Data Set (OUT=)
- Example 7: Creating an Output Data Set of Statistics (OUTSTATS=)
- CONTENTS Procedure
- COPY Procedure
- CPORT Procedure
- DATASETS Procedure
- Syntax: DATASETS Procedure
- Overview: DATASETS Procedure
- Concepts
- Results: DATASETS Procedure
- Examples: DATASETS Procedure
- Example 1: Removing All Labels and Formats in a Data Set
- Example 2: Manipulating SAS Files
- Example 3: Saving SAS Files from Deletion
- Example 4: Modifying SAS Data Sets
- Example 5: Describing a SAS Data Set
- Example 6: Concatenating Two SAS Data Sets
- Example 7: Aging SAS Data Sets
- Example 8: ODS Output
- Example 9: Getting Sort Indicator Information
- Example 10: Using the ORDER= Option with the CONTENTS Statement
- Example 11: Initiating an Audit File
- DISPLAY Procedure
- EXPORT Procedure
- FCMP Procedure
- Syntax: FCMP Procedure
- Overview: FCMP Procedure
- Concepts: FCMP Procedure
- PROC FCMP and DATA Step Differences
- Working with Arrays
- Using Macros with PROC FCMP Routines
- Variable Scope in PROC FCMP Routines
- Recursion
- Directory Transversal
- Identifying the Location of Compiled Functions and Subroutines: The CMPLIB= System Option
- PROC FCMP and DATA Step Component Objects
- Examples: FCMP Procedure
- Example 1: Creating a Function and Calling the Function from a DATA Step
- Example 2: Creating a CALL Routine and a Function
- Example 3: Using Numeric Data in the FUNCTION Statement
- Example 4: Using Character Data in the FUNCTION Statement
- Example 5: Using Variable Arguments with an Array
- Example 6: Using the SUBROUTINE Statement with a CALL Statement
- Example 7: Using GTL with User-Defined Functions
- Example 8: Standardizing Each Row of a Data Set
- FCMP Special Functions and Call Routines
- Overview of Special Functions and CALL Routines
- Functions and CALL Routines by Category
- CALL ADDMATRIX Routine
- CALL CHOL Routine
- CALL DET Routine
- CALL DYNAMIC_ARRAY Routine
- CALL ELEMMULT Routine
- CALL EXPMATRIX Routine
- CALL FILLMATRIX Routine
- CALL IDENTITY Routine
- CALL INV Routine
- CALL MULT Routine
- CALL POWER Routine
- CALL SETNULL Routine
- CALL STRUCTINDEX Routine
- CALL SUBTRACTMATRIX Routine
- CALL TRANSPOSE Routine
- CALL ZEROMATRIX Routine
- INVCDF Function
- ISNULL Function
- LIMMOMENT Function
- READ_ARRAY Function
- RUN_MACRO Function
- RUN_SASFILE Function
- SOLVE Function
- WRITE_ARRAY
- FCmp Function Editor
- FONTREG Procedure
- FORMAT Procedure
- Syntax: FORMAT Procedure
- Overview: FORMAT Procedure
- Concepts: FORMAT Procedure
- Specifying Values or Ranges
- Using a Function to Format Values
- Viewing a Format Definition Using SAS Explorer
- Results: FORMAT Procedure
- Examples: FORMAT Procedure
- Example 1: Create the Example Data Set
- Example 2: Creating a Picture Format
- Example 3: Creating a Format for Character Values
- Example 4: Writing a Format for Dates Using a Standard SAS Format
- Example 5: Converting Raw Character Data to Numeric Values
- Example 6: Creating a Format from a Data Set
- Example 7: Printing the Description of Informats and Formats
- Example 8: Retrieving a Permanent Format
- Example 9: Writing Ranges for Character Strings
- Example 10: Filling a Picture Format
- Example 11: Creating a Format in a non-English Language
- Example 12: Creating a Function to Use as a Format
- Example 13: Creating a Format for Trafficlighting
- Example 14: Using a Format to Create a Drill-down Table
- FSLIST Procedure
- GROOVY Procedure
- HTTP Procedure
- IMPORT Procedure
- JAVAINFO Procedure
- MEANS Procedure
- Syntax: MEANS Procedure
- Overview: MEANS Procedure
- Concepts: MEANS Procedure
- Statistical Computations: MEANS Procedure
- Results: MEANS Procedure
- Examples: MEANS Procedure
- Example 1: Computing Specific Descriptive Statistics
- Example 2: Computing Descriptive Statistics with Class Variables
- Example 3: Using the BY Statement with Class Variables
- Example 4: Using a CLASSDATA= Data Set with Class Variables
- Example 5: Using Multilabel Value Formats with Class Variables
- Example 6: Using Preloaded Formats with Class Variables
- Example 7: Computing a Confidence Limit for the Mean
- Example 8: Computing Output Statistics
- Example 9: Computing Different Output Statistics for Several Variables
- Example 10: Computing Output Statistics with Missing Class Variable Values
- Example 11: Identifying an Extreme Value with the Output Statistics
- Example 12: Identifying the Top Three Extreme Values with the Output Statistics
- Example 13: Using the STACKODSOUTPUT option to control data
- References
- MIGRATE Procedure
- Syntax: MIGRATE Procedure
- Overview: MIGRATE Procedure
- Considerations for Each Member Type
- Migrating a Data File with Audit Trails, Generations, Indexes, or Integrity Constraints
- Migrating a SAS Data Set with NODUPKEY Sort Indicator
- Migrating a SAS 6 Library
- Migrating a Data Set that Contains Non-English Characters
- Migrating Files with Short Extensions on PC Operating Environments
- Migrating a Library with Validation Tools
- Using the SLIBREF= Option
- Examples: MIGRATE Procedure
- Example 1: Migrating across Computers
- Example 2: Migrating with Incompatible Catalogs across Computers
- Example 3: Migrating on the Same Computer
- Example 4: Migrating with Incompatible Catalogs on the Same Computer
- Example 5: Migrating from a SAS®9 Release with Incompatible Catalogs
- Example 6: Additional Steps for Unsupported Catalogs
- Example 7: Alternatives to PROC MIGRATE
- OPTIONS Procedure
- OPTLOAD Procedure
- OPTSAVE Procedure
- PLOT Procedure
- Syntax: PLOT Procedure
- Overview: PLOT Procedure
- Concepts: PLOT Procedure
- Results: PLOT Procedure
- Examples: PLOT Procedure
- Example 1: Specifying a Plotting Symbol
- Example 2: Controlling the Horizontal Axis and Adding a Reference Line
- Example 3: Overlaying Two Plots
- Example 4: Producing Multiple Plots per Page
- Example 5: Plotting Data on a Logarithmic Scale
- Example 6: Plotting Date Values on an Axis
- Example 7: Producing a Contour Plot
- Example 8: Plotting BY Groups
- Example 9: Adding Labels to a Plot
- Example 10: Excluding Observations That Have Missing Values
- Example 11: Adjusting Labels on a Plot with the PLACEMENT= Option
- Example 12: Adjusting Labeling on a Plot with a Macro
- Example 13: Changing a Default Penalty
- PMENU Procedure
- PRINT Procedure
- Syntax: PRINT Procedure
- Overview: PRINT Procedure
- Concepts: PRINT Procedure
- Error Processing in the PRINT Procedure Output
- Examples: PRINT Procedure
- Example 1: Selecting Variables to Print
- Example 2: Customizing Text in Column Headings
- Example 3: Creating Separate Sections of a Report for Groups of Observations
- Example 4: Summing Numeric Variables with One BY Group
- Example 5: Summing Numeric Variables with Multiple BY Variables
- Example 6: Limiting the Number of Sums in a Report
- Example 7: Controlling the Layout of a Report with Many Variables
- Example 8: Creating a Customized Layout with BY Groups and ID Variables
- Example 9: Printing All the Data Sets in a SAS Library
- PRINTTO Procedure
- PROTO Procedure
- Syntax: PROTO Procedure
- Overview: PROTO Procedure
- Concepts: PROTO Procedure
- Basic C Language Types
- Working with Character Variables
- Working with Numeric Variables
- Working with Missing Values
- Interfacing with External C Functions
- Scope of Packages in PROC PROTO
- C Helper Functions and CALL Routines
- Results: PROTO Procedure
- Example: Splitter Function Example
- PRTDEF Procedure
- Syntax: PRTDEF Procedure
- Overview: PRTDEF Procedure
- Input Data Set: PRTDEF Procedure
- Examples: PRTDEF Procedure
- Example 1: Defining Multiple Printer Definitions
- Example 2: Creating a Ghostview Printer in SASUSER to Preview PostScript Printer Output in SASUSER
- Example 3: Creating a Single Printer Definition That Is Available to All Users
- Example 4: Adding, Modifying, and Deleting Printer Definitions
- Example 5: Deleting a Single Printer Definition
- PRTEXP Procedure
- PWENCODE Procedure
- QDEVICE Procedure
- Syntax: QDEVICE Procedure
- Overview: QDEVICE Procedure
- Concepts: QDEVICE Procedure
- Variables Common to All Reports
- Creating a GENERAL Report
- Creating a FONT Report
- Creating a DEVOPTION Report
- Creating a LINESTYLE Report
- Creating a RECTANGLE Report
- Creating a SYMBOL Report
- Character Variable Lengths in Report Output Data Sets
- Examples: QDEVICE Procedure
- Example 1: Generate a Report for the Default Display Device
- Example 2: Generate a General Report for All Devices
- Example 3: Generate a Report for SAS/GRAPH Device Drivers and Universal Printers
- Example 4: Generate a Report for the Default Printer
- Example 5: Generate a Font Report
- Example 6: Generate A Device Option Report
- RANK Procedure
- REGISTRY Procedure
- REPORT Procedure
- Syntax: REPORT Procedure
- Overview: REPORT Procedure
- Concepts: REPORT Procedure
- In-Database Processing for PROC REPORT
- How PROC REPORT Builds a Report
- Examples: REPORT Procedure
- Example 1: Selecting Variables for a Report
- Example 2: Ordering the Rows in a Report
- Example 3: Using Aliases to Obtain Multiple Statistics for the Same Variable
- Example 4: Consolidating Multiple Observations into One Row of a Report
- Example 5: Creating a Column for Each Value of a Variable
- Example 6: Displaying Multiple Statistics for One Variable
- Example 7: Storing and Reusing a Report Definition
- Example 8: Condensing a Report into Multiple Panels
- Example 9: Writing a Customized Summary on Each Page
- Example 10: Calculating Percentages
- Example 11: How PROC REPORT Handles Missing Values
- Example 12: Creating and Processing an Output Data Set
- Example 13: Storing Computed Variables as Part of a Data Set
- Example 14: Using a Format to Create Groups
- Example 15: Specifying Style Elements for ODS Output in the PROC REPORT Statement
- Example 16: Specifying Style Elements for ODS Output in Multiple Statements
- Example 17: Using Multilabel Formats
- Example 18: Using the WIDTH= and CELLWIDTH= Style Attributes with PROC REPORT
- REPORT Procedure Windows
- SCAPROC Procedure
- SOAP Procedure
- Syntax: SOAP Procedure
- Overview: SOAP Procedure
- Concepts: SOAP Procedure
- Using PROC SOAP with Secure Socket Layer (SSL)
- Methods of Calling SAS Registered Web Services
- Specifying an Output Log File
- Examples: SOAP Procedure
- Example 1: Using PROC SOAP with a SOAPEnvelope Element
- Example 2: Using PROC SOAP without a SOAPEnvelope Element
- Example 3: Calling a Web Service by Using a Proxy
- Example 4: Calling a SAS Registered Web Service Using the Service Registry Service
- Example 5: Calling a SAS Registered Web Service Using the SAS Environments File
- Example 6: Changing the Default Timeout for Web Service Calls
- SORT Procedure
- STANDARD Procedure
- SUMMARY Procedure
- TABULATE Procedure
- Syntax: TABULATE Procedure
- Overview: TABULATE Procedure
- Concepts: TABULATE Procedure
- In-Database Processing for PROC TABULATE
- Results: TABULATE Procedure
- Examples: TABULATE Procedure
- Example 1: Creating a Basic Two-Dimensional Table
- Example 2: Specifying Class Variable Combinations to Appear in a Table
- Example 3: Using Preloaded Formats with Class Variables
- Example 4: Using Multilabel Formats
- Example 5: Customizing Row and Column Headings
- Example 6: Summarizing Information with the Universal Class Variable ALL
- Example 7: Eliminating Row Headings
- Example 8: Indenting Row Headings and Eliminating Horizontal Separators
- Example 9: Creating Multipage Tables
- Example 10: Reporting on Multiple-Response Survey Data
- Example 11: Reporting on Multiple-Choice Survey Data
- Example 12: Calculating Various Percentage Statistics
- Example 13: Using Denominator Definitions to Display Basic Frequency Counts and Percentages
- Example 14: Specifying Style Elements for ODS Output
- Example 15: Style Precedence
- Example 16: NOCELLMERGE Option
- References
- TIMEPLOT Procedure
- TRANSPOSE Procedure
- XSL (Preproduction) Procedure
- Appendixes
- SAS Elementary Statistics Procedures
- Descriptions of Operating Environment-Specific Procedures
- Raw Data and DATA Steps
- Overview of Raw Data and DATA Steps
- CARSURVEY
- CENSUS
- CHARITY
- CONTROL Library
- CUSTOMER_RESPONSE
- DJIA
- EDUCATION
- EMPDATA
- ENERGY
- EXP Library
- EXPREV
- GROC
- MATCH_11
- PROCLIB.DELAY
- PROCLIB.EMP95
- PROCLIB.EMP96
- PROCLIB.INTERNAT
- PROCLIB.LAKES
- PROCLIB.MARCH
- PROCLIB.PAYLIST2
- PROCLIB.PAYROLL
- PROCLIB.PAYROLL2
- PROCLIB.SCHEDULE
- PROCLIB.STAFF
- PROCLIB.STAFF2
- PROCLIB.SUPERV
- RADIO
- SALES
- ICU License - ICU 1.8.1 and later
- Recommended Reading
- Base SAS Statistical Procedures
- What's New in the Base SAS Statistical Procedures
- The CORR Procedure
- Overview: CORR Procedure
- Getting Started: CORR Procedure
- Syntax: CORR Procedure
- Details: CORR Procedure
- Pearson Product-Moment Correlation
- Spearman Rank-Order Correlation
- Kendall's Tau-b Correlation Coefficient
- Hoeffding Dependence Coefficient
- Partial Correlation
- Fisher's z Transformation
- Polyserial Correlation
- Cronbach's Coefficient Alpha
- Confidence and Prediction Ellipses
- Missing Values
- In-Database Computation
- Output Tables
- Output Data Sets
- ODS Table Names
- ODS Graphics
- Examples: CORR Procedure
- Computing Four Measures of Association
- Computing Correlations between Two Sets of Variables
- Analysis Using Fisher's z Transformation
- Applications of Fisher's z Transformation
- Computing Polyserial Correlations
- Computing Cronbach's Coefficient Alpha
- Saving Correlations in an Output Data Set
- Creating Scatter Plots
- Computing Partial Correlations
- References
- The FREQ Procedure
- Overview: FREQ Procedure
- Getting Started: FREQ Procedure
- Syntax: FREQ Procedure
- Details: FREQ Procedure
- Inputting Frequency Counts
- Grouping with Formats
- Missing Values
- In-Database Computation
- Statistical Computations
- Definitions and Notation
- Chi-Square Tests and Statistics
- Measures of Association
- Binomial Proportion
- Risks and Risk Differences
- Odds Ratio and Relative Risks for 2 x 2 Tables
- Cochran-Armitage Test for Trend
- Jonckheere-Terpstra Test
- Tests and Measures of Agreement
- Cochran-Mantel-Haenszel Statistics
- Gail-Simon Test for Qualitative Interactions
- Exact Statistics
- Computational Resources
- Output Data Sets
- Displayed Output
- ODS Table Names
- ODS Graphics
- Examples: FREQ Procedure
- References
- The UNIVARIATE Procedure
- Overview: UNIVARIATE Procedure
- Getting Started: UNIVARIATE Procedure
- Syntax: UNIVARIATE Procedure
- Details: UNIVARIATE Procedure
- Missing Values
- Rounding
- Descriptive Statistics
- Calculating the Mode
- Calculating Percentiles
- Tests for Location
- Confidence Limits for Parameters of the Normal Distribution
- Robust Estimators
- Creating Line Printer Plots
- Creating High-Resolution Graphics
- Using the CLASS Statement to Create Comparative Plots
- Positioning Insets
- Formulas for Fitted Continuous Distributions
- Goodness-of-Fit Tests
- Kernel Density Estimates
- Construction of Quantile-Quantile and Probability Plots
- Interpretation of Quantile-Quantile and Probability Plots
- Distributions for Probability and Q-Q Plots
- Estimating Shape Parameters Using Q-Q Plots
- Estimating Location and Scale Parameters Using Q-Q Plots
- Estimating Percentiles Using Q-Q Plots
- Input Data Sets
- OUT= Output Data Set in the OUTPUT Statement
- OUTHISTOGRAM= Output Data Set
- OUTKERNEL= Output Data Set
- OUTTABLE= Output Data Set
- Tables for Summary Statistics
- ODS Table Names
- ODS Tables for Fitted Distributions
- ODS Graphics
- Computational Resources
- Examples: UNIVARIATE Procedure
- Computing Descriptive Statistics for Multiple Variables
- Calculating Modes
- Identifying Extreme Observations and Extreme Values
- Creating a Frequency Table
- Creating Plots for Line Printer Output
- Analyzing a Data Set With a FREQ Variable
- Saving Summary Statistics in an OUT= Output Data Set
- Saving Percentiles in an Output Data Set
- Computing Confidence Limits for the Mean, Standard Deviation, and Variance
- Computing Confidence Limits for Quantiles and Percentiles
- Computing Robust Estimates
- Testing for Location
- Performing a Sign Test Using Paired Data
- Creating a Histogram
- Creating a One-Way Comparative Histogram
- Creating a Two-Way Comparative Histogram
- Adding Insets with Descriptive Statistics
- Binning a Histogram
- Adding a Normal Curve to a Histogram
- Adding Fitted Normal Curves to a Comparative Histogram
- Fitting a Beta Curve
- Fitting Lognormal, Weibull, and Gamma Curves
- Computing Kernel Density Estimates
- Fitting a Three-Parameter Lognormal Curve
- Annotating a Folded Normal Curve
- Creating Lognormal Probability Plots
- Creating a Histogram to Display Lognormal Fit
- Creating a Normal Quantile Plot
- Adding a Distribution Reference Line
- Interpreting a Normal Quantile Plot
- Estimating Three Parameters from Lognormal Quantile Plots
- Estimating Percentiles from Lognormal Quantile Plots
- Estimating Parameters from Lognormal Quantile Plots
- Comparing Weibull Quantile Plots
- Creating a Cumulative Distribution Plot
- Creating a P-P Plot
- References
- Language Reference: Concepts
- Title Page
- What's New in the Base SAS 9.3 Language Reference: Concepts
- SAS System Concepts
- Essential Concepts of Base SAS Software
- SAS Processing
- Rules for Words and Names in the SAS Language
- SAS Variables
- Missing Values
- Expressions
- Dates, Times, and Intervals
- Error Processing and Debugging
- SAS Output
- By-Group Processing in SAS Programs
- WHERE-Expression Processing
- Definition of WHERE-Expression Processing
- Where to Use a WHERE Expression
- Syntax of WHERE Expression
- Combining Expressions by Using Logical Operators
- Improving Performance of WHERE Processing
- Processing a Segment of Data That Is Conditionally Selected
- Deciding Whether to Use a WHERE Expression or a Subsetting IF Statement
- Optimizing System Performance
- Support for Parallel Processing
- The SAS Registry
- Printing with SAS
- Universal Printing
- Configuring Universal Printing Using the Windowing Environment
- System Options That Control Universal Printing
- Managing Universal Printers Using the PRTDEF Procedure
- Forms Printing
- Using Fonts with Universal Printers and SAS/GRAPH Devices
- Creating EMF (Enhanced Metafile Format) Graphics Using Universal Printing
- Creating GIF Images Using Universal Printing
- Creating PCL (Printer Command Language) Files Using Universal Printing
- Creating PDF Files Using Universal Printing
- Creating PNG (Portable Network Graphics) Using Universal Printing
- Creating SVG (Scalable Vector Graphics) Files Using Universal Printing
- Windowing Environment Concepts
- DATA Step Concepts
- DATA Step Processing
- Reading Raw Data
- BY-Group Processing in the DATA Step
- Definitions for BY-Group Processing
- Syntax for BY-Group Processing
- Understanding BY Groups
- Invoking BY-Group Processing
- Determining Whether the Data Requires Preprocessing for BY-Group Processing
- Preprocessing Input Data for BY-Group Processing
- How the DATA Step Identifies BY Groups
- Processing BY-Groups in the DATA Step
- Reading, Combining, and Modifying SAS Data Sets
- Using DATA Step Component Objects
- Array Processing
- SAS Files Concepts
- SAS Libraries
- SAS Data Sets
- SAS Data Files
- Definition of a SAS Data File
- Differences between Data Files and SAS Views
- Understanding the Observation Count in a SAS Data File
- Understanding an Audit Trail
- Understanding Generation Data Sets
- Understanding Integrity Constraints
- Understanding SAS Indexes
- Compressing Data Files
- Extending the Observation Count in a SAS Data File
- SAS Views
- Stored Compiled DATA Step Programs
- Definition of a Stored Compiled DATA Step Program
- Uses for Stored Compiled DATA Step Programs
- Restrictions and Requirements for Stored Compiled DATA Step Programs
- How SAS Processes Stored Compiled DATA Step Programs
- Creating a Stored Compiled DATA Step Program
- Executing a Stored Compiled DATA Step Program
- Differences between Stored Compiled DATA Step Programs and DATA Step Views
- Example of DATA Step Program
- DICTIONARY Tables
- SAS Catalogs
- About SAS/ACCESS Software
- Processing Data Using Cross-Environment Data Access (CEDA)
- SAS 9.3 Compatibility with SAS Files from Earlier Releases
- File Protection
- SAS Engines
- SAS File Management
- External Files
- Industry Protocols Used in SAS
- Recommended Reading
- Component Objects
- Title Page
- What's New in SAS 9.3 Component Objects
- About This Book
- About SAS Component Objects
- Dictionary of Hash and Hash Iterator Object Language Elements
- ADD Method
- CHECK Method
- CLEAR Method
- DECLARE Statement, Hash and Hash Iterator Objects
- DEFINEDATA Method
- DEFINEDONE Method
- DEFINEKEY Method
- DELETE Method
- EQUALS Method
- FIND Method
- FIND_NEXT Method
- FIND_PREV Method
- FIRST Method
- HAS_NEXT Method
- HAS_PREV Method
- ITEM_SIZE Attribute
- LAST Method
- _NEW_ Operator, Hash or Hash Iterator Object
- NEXT Method
- NUM_ITEMS Attribute
- OUTPUT Method
- PREV Method
- REF Method
- REMOVE Method
- REMOVEDUP Method
- REPLACE Method
- REPLACEDUP Method
- SETCUR Method
- SUM Method
- SUMDUP Method
- Dictionary of Java Object Language Elements
- Java Object Methods by Category
- CALLtypeMETHOD Method
- CALLSTATICtypeMETHOD Method
- DECLARE Statement, Java Object
- DELETE Method
- EXCEPTIONCHECK Method
- EXCEPTIONCLEAR Method
- EXCEPTIONDESCRIBE Method
- FLUSHJAVAOUTPUT Method
- GETtypeFIELD Method
- GETSTATICtypeFIELD Method
- _NEW_ Operator, Java Object
- SETtypeFIELD Method
- SETSTATICtypeFIELD Method
- Recommended Reading
- Data Set Options
- Title Page
- What's New in SAS 9.3 Data Set Options
- About This Book
- Concepts
- Data Set Options Dictionary
- Data Set Options by Category
- ALTER= Data Set Option
- BUFNO= Data Set Option
- BUFSIZE= Data Set Option
- CNTLLEV= Data Set Option
- COMPRESS= Data Set Option
- DLDMGACTION= Data Set Option
- DROP= Data Set Option
- ENCRYPT= Data Set Option
- EXTENDOBSCOUNTER= Data Set Option
- FILECLOSE= Data Set Option
- FIRSTOBS= Data Set Option
- GENMAX= Data Set Option
- GENNUM= Data Set Option
- IDXNAME= Data Set Option
- IDXWHERE= Data Set Option
- INDEX= Data Set Option
- IN= Data Set Option
- KEEP= Data Set Option
- LABEL= Data Set Option
- OBSBUF= Data Set Option
- OBS= Data Set Option
- OUTREP= Data Set Option
- POINTOBS= Data Set Option
- PW= Data Set Option
- PWREQ= Data Set Option
- READ= Data Set Option
- RENAME= Data Set Option
- REPEMPTY= Data Set Option
- REPLACE= Data Set Option
- REUSE= Data Set Option
- ROLE= Data Set Option
- SORTEDBY= Data Set Option
- SPILL= Data Set Option
- TOBSNO= Data Set Option
- TYPE= Data Set Option
- WHERE= Data Set Option
- WHEREUP= Data Set Option
- WRITE= Data Set Option
- Recommended Reading
- Formats and Informats
- Title Page
- What's New in SAS 9.3 Formats and Informats
- About This Book
- SAS Formats
- About Formats
- Dictionary of Formats
- Formats Documented in Other Publications
- Formats by Category
- $ASCIIw. Format
- $BASE64Xw. Format
- $BINARYw. Format
- $CHARw. Format
- $EBCDICw. Format
- $HEXw. Format
- $MSGCASEw. Format
- $N8601Bw.d Format
- $N8601BAw.d Format
- $N8601Ew.d Format
- $N8601EAw.d Format
- $N8601EHw.d Format
- $N8601EXw.d Format
- $N8601Hw.d Format
- $N8601Xw.d Format
- $OCTALw. Format
- $QUOTEw. Format
- $REVERJw. Format
- $REVERSw. Format
- $UPCASEw. Format
- $VARYINGw. Format
- $w. Format
- BESTw. Format
- BESTDw.p Format
- BINARYw. Format
- B8601DAw. Format
- B8601DNw. Format
- B8601DTw.d Format
- B8601DZw. Format
- B8601LZw. Format
- B8601TMw.d Format
- B8601TZw. Format
- COMMAw.d Format
- COMMAXw.d Format
- Dw.p Format
- DATEw. Format
- DATEAMPMw.d Format
- DATETIMEw.d Format
- DAYw. Format
- DDMMYYw. Format
- DDMMYYxw. Format
- DOLLARw.d Format
- DOLLARXw.d Format
- DOWNAMEw. Format
- DTDATEw. Format
- DTMONYYw. Format
- DTWKDATXw. Format
- DTYEARw. Format
- DTYYQCw. Format
- Ew. Format
- E8601DAw. Format
- E8601DNw. Format
- E8601DTw.d Format
- E8601DZw. Format
- E8601LZw. Format
- E8601TMw.d Format
- E8601TZw.d Format
- FLOATw.d Format
- FRACTw. Format
- HEXw. Format
- HHMMw.d Format
- HOURw.d Format
- IBw.d Format
- IBRw.d Format
- IEEEw.d Format
- JULDAYw. Format
- JULIANw. Format
- MDYAMPMw.d Format
- MMDDYYw. Format
- MMDDYYxw. Format
- MMSSw.d Format
- MMYYw. Format
- MMYYxw. Format
- MONNAMEw. Format
- MONTHw. Format
- MONYYw. Format
- NEGPARENw.d Format
- NUMXw.d Format
- OCTALw. Format
- PDw.d Format
- PDJULGw. Format
- PDJULIw. Format
- PERCENTw.d Format
- PERCENTNw.d Format
- PIBw.d Format
- PIBRw.d Format
- PKw.d Format
- PVALUEw.d Format
- QTRw. Format
- QTRRw. Format
- RBw.d Format
- ROMANw. Format
- S370FFw.d Format
- S370FIBw.d Format
- S370FIBUw.d Format
- S370FPDw.d Format
- S370FPDUw.d Format
- S370FPIBw.d Format
- S370FRBw.d Format
- S370FZDw.d Format
- S370FZDLw.d Format
- S370FZDSw.d Format
- S370FZDTw.d Format
- S370FZDUw.d Format
- SSNw. Format
- TIMEw.d Format
- TIMEAMPMw.d Format
- TODw.d Format
- VAXRBw.d Format
- VMSZNw.d Format
- w.d Format
- WEEKDATEw. Format
- WEEKDATXw. Format
- WEEKDAYw. Format
- WEEKUw. Format
- WEEKVw. Format
- WEEKWw. Format
- WORDDATEw. Format
- WORDDATXw. Format
- WORDFw. Format
- WORDSw. Format
- YEARw. Format
- YYMMw. Format
- YYMMDDw. Format
- YYMMDDxw. Format
- YYMMxw. Format
- YYMONw. Format
- YYQw. Format
- YYQxw. Format
- YYQRw. Format
- YYQRxw. Format
- Zw.d Format
- ZDw.d Format
- SAS Informats
- About Informats
- Dictionary of Informats
- Informats Documented in Other Publications
- Informats by Category
- $ASCIIw. Informat
- $BASE64Xw. Informat
- $BINARYw. Informat
- $CBw. Informat
- $CHARw. Informat
- $CHARZBw. Informat
- $EBCDICw. Informat
- $HEXw. Informat
- $N8601Bw.d Informat
- $N8601Ew.d Informat
- $OCTALw. Informat
- $PHEXw. Informat
- $QUOTEw. Informat
- $UPCASEw. Informat
- $VARYINGw. Informat
- $w. Informat
- ANYDTDTEw. Informat
- ANYDTDTMw. Informat
- ANYDTTMEw. Informat
- B8601CIw.d Informat
- B8601DAw. Informat
- B8601DJw.d Informat
- B8601DNw. Informat
- B8601DTw.d Informat
- B8601DZw.d Informat
- B8601TMw.d Informat
- B8601TZw.d Informat
- BINARYw.d Informat
- BITSw.d Informat
- BZw.d Informat
- CBw.d Informat
- COMMAw.d Informat
- COMMAXw.d Informat
- DATEw. Informat
- DATETIMEw. Informat
- DDMMYYw. Informat
- Ew.d Informat
- E8601DAw. Informat
- E8601DNw. Informat
- E8601DTw.d Informat
- E8601DZw.d Informat
- E8601LZw.d Informat
- E8601TMw.d Informat
- E8601TZw.d Informat
- FLOATw.d Informat
- HEXw. Informat
- HHMMSSw. Informat
- IBw.d Informat
- IBRw.d Informat
- IEEEw.d Informat
- JULIANw. Informat
- MDYAMPMw.d Informat
- MMDDYYw. Informat
- MONYYw. Informat
- MSECw. Informat
- NUMXw.d Informat
- OCTALw.d Informat
- PDw.d Informat
- PDJULGw. Informat
- PDJULIw. Informat
- PDTIMEw. Informat
- PERCENTw.d Informat
- PIBw.d Informat
- PIBRw.d Informat
- PKw.d Informat
- PUNCH.d Informat
- RBw.d Informat
- RMFDURw. Informat
- RMFSTAMPw. Informat
- ROWw.d Informat
- S370FFw.d Informat
- S370FIBw.d Informat
- S370FIBUw.d Informat
- S370FPDw.d Informat
- S370FPDUw.d Informat
- S370FPIBw.d Informat
- S370FRBw.d Informat
- S370FZDw.d Informat
- S370FZDBw.d Informat
- S370FZDLw.d Informat
- S370FZDSw.d Informat
- S370FZDTw.d Informat
- S370FZDUw.d Informat
- SHRSTAMPw. Informat
- SMFSTAMPw. Informat
- STIMERw. Informat
- TIMEw. Informat
- TODSTAMPw. Informat
- TRAILSGNw. Informat
- TUw. Informat
- VAXRBw.d Informat
- VMSZNw.d Informat
- w.d Informat
- WEEKUw. Informat
- WEEKVw. Informat
- WEEKWw. Informat
- YMDDTTMw.d Informat
- YYMMDDw. Informat
- YYMMNw. Informat
- YYQw. Informat
- ZDw.d Informat
- ZDBw.d Informat
- ZDVw.d Informat
- Recommended Reading
- Functions and CALL Routines
- Title Page
- What's New in SAS 9.3 Functions and CALL Routines
- About This Book
- Functions and CALL Routines
- Definitions of Functions and CALL Routines
- Syntax
- Using Functions and CALL Routines
- Function Compatibility with SBCS, DBCS, and MBCS Character Sets
- Using Random-Number Functions and CALL Routines
- Using SYSRANDOM and SYSRANEND Macro Variables to Produce Random Number Streams
- Date and Time Intervals
- Pattern Matching Using Perl Regular Expressions (PRX)
- Using Perl Regular Expressions in the DATA Step
- Writing Perl Debug Output to the SAS Log
- Perl Artistic License Compliance
- Base SAS Functions for Web Applications
- Dictionary of Functions and CALL Routines
- Functions and CALL Routines by Category
- ABS Function
- ADDR Function
- ADDRLONG Function
- AIRY Function
- ALLCOMB Function
- ALLPERM Function
- ANYALNUM Function
- ANYALPHA Function
- ANYCNTRL Function
- ANYDIGIT Function
- ANYFIRST Function
- ANYGRAPH Function
- ANYLOWER Function
- ANYNAME Function
- ANYPRINT Function
- ANYPUNCT Function
- ANYSPACE Function
- ANYUPPER Function
- ANYXDIGIT Function
- ARCOS Function
- ARCOSH Function
- ARSIN Function
- ARSINH Function
- ARTANH Function
- ATAN Function
- ATAN2 Function
- ATTRC Function
- ATTRN Function
- BAND Function
- BETA Function
- BETAINV Function
- BLACKCLPRC Function
- BLACKPTPRC Function
- BLKSHCLPRC Function
- BLKSHPTPRC Function
- BLSHIFT Function
- BNOT Function
- BOR Function
- BRSHIFT Function
- BXOR Function
- BYTE Function
- CALL ALLCOMB Routine
- CALL ALLCOMBI Routine
- CALL ALLPERM Routine
- CALL CATS Routine
- CALL CATT Routine
- CALL CATX Routine
- CALL COMPCOST Routine
- CALL EXECUTE Routine
- CALL GRAYCODE Routine
- CALL IS8601_CONVERT Routine
- CALL LABEL Routine
- CALL LEXCOMB Routine
- CALL LEXCOMBI Routine
- CALL LEXPERK Routine
- CALL LEXPERM Routine
- CALL LOGISTIC Routine
- CALL MISSING Routine
- CALL MODULE Routine
- CALL POKE Routine
- CALL POKELONG Routine
- CALL PRXCHANGE Routine
- CALL PRXDEBUG Routine
- CALL PRXFREE Routine
- CALL PRXNEXT Routine
- CALL PRXPOSN Routine
- CALL PRXSUBSTR Routine
- CALL RANBIN Routine
- CALL RANCAU Routine
- CALL RANCOMB Routine
- CALL RANEXP Routine
- CALL RANGAM Routine
- CALL RANNOR Routine
- CALL RANPERK Routine
- CALL RANPERM Routine
- CALL RANPOI Routine
- CALL RANTBL Routine
- CALL RANTRI Routine
- CALL RANUNI Routine
- CALL SCAN Routine
- CALL SET Routine
- CALL SLEEP Routine
- CALL SOFTMAX Routine
- CALL SORTC Routine
- CALL SORTN Routine
- CALL STDIZE Routine
- CALL STREAMINIT Routine
- CALL SYMPUT Routine
- CALL SYMPUTX Routine
- CALL SYSTEM Routine
- CALL TANH Routine
- CALL VNAME Routine
- CALL VNEXT Routine
- CAT Function
- CATQ Function
- CATS Function
- CATT Function
- CATX Function
- CDF Function
- CEIL Function
- CEILZ Function
- CEXIST Function
- CHAR Function
- CHOOSEC Function
- CHOOSEN Function
- CINV Function
- CLOSE Function
- CMISS Function
- CNONCT Function
- COALESCE Function
- COALESCEC Function
- COLLATE Function
- COMB Function
- COMPARE Function
- COMPBL Function
- COMPFUZZ Function
- COMPGED Function
- COMPLEV Function
- COMPOUND Function
- COMPRESS Function
- CONSTANT Function
- CONVX Function
- CONVXP Function
- COS Function
- COSH Function
- COUNT Function
- COUNTC Function
- COUNTW Function
- CSS Function
- CUMIPMT Function
- CUMPRINC Function
- CUROBS Function
- CV Function
- DACCDB Function
- DACCDBSL Function
- DACCSL Function
- DACCSYD Function
- DACCTAB Function
- DAIRY Function
- DATDIF Function
- DATE Function
- DATEJUL Function
- DATEPART Function
- DATETIME Function
- DAY Function
- DCLOSE Function
- DCREATE Function
- DEPDB Function
- DEPDBSL Function
- DEPSL Function
- DEPSYD Function
- DEPTAB Function
- DEQUOTE Function
- DEVIANCE Function
- DHMS Function
- DIF Function
- DIGAMMA Function
- DIM Function
- DINFO Function
- DIVIDE Function
- DNUM Function
- DOPEN Function
- DOPTNAME Function
- DOPTNUM Function
- DREAD Function
- DROPNOTE Function
- DSNAME Function
- DUR Function
- DURP Function
- EFFRATE Function
- ENVLEN Function
- ERF Function
- ERFC Function
- EUCLID Function
- EXIST Function
- EXP Function
- FACT Function
- FAPPEND Function
- FCLOSE Function
- FCOL Function
- FDELETE Function
- FETCH Function
- FETCHOBS Function
- FEXIST Function
- FGET Function
- FILEEXIST Function
- FILENAME Function
- FILEREF Function
- FINANCE Function
- FIND Function
- FINDC Function
- FINDW Function
- FINFO Function
- FINV Function
- FIPNAME Function
- FIPNAMEL Function
- FIPSTATE Function
- FIRST Function
- FLOOR Function
- FLOORZ Function
- FNONCT Function
- FNOTE Function
- FOPEN Function
- FOPTNAME Function
- FOPTNUM Function
- FPOINT Function
- FPOS Function
- FPUT Function
- FREAD Function
- FREWIND Function
- FRLEN Function
- FSEP Function
- FUZZ Function
- FWRITE Function
- GAMINV Function
- GAMMA Function
- GARKHCLPRC Function
- GARKHPTPRC Function
- GCD Function
- GEODIST Function
- GEOMEAN Function
- GEOMEANZ Function
- GETOPTION Function
- GETVARC Function
- GETVARN Function
- GRAYCODE Function
- HARMEAN Function
- HARMEANZ Function
- HBOUND Function
- HMS Function
- HOLIDAY Function
- HOUR Function
- HTMLDECODE Function
- HTMLENCODE Function
- IBESSEL Function
- IFC Function
- IFN Function
- INDEX Function
- INDEXC Function
- INDEXW Function
- INPUT Function
- INPUTC Function
- INPUTN Function
- INT Function
- INTCINDEX Function
- INTCK Function
- INTCYCLE Function
- INTFIT Function
- INTFMT Function
- INTGET Function
- INTINDEX Function
- INTNX Function
- INTRR Function
- INTSEAS Function
- INTSHIFT Function
- INTTEST Function
- INTZ Function
- IORCMSG Function
- IPMT Function
- IQR Function
- IRR Function
- JBESSEL Function
- JULDATE Function
- JULDATE7 Function
- KURTOSIS Function
- LAG Function
- LARGEST Function
- LBOUND Function
- LCM Function
- LCOMB Function
- LEFT Function
- LENGTH Function
- LENGTHC Function
- LENGTHM Function
- LENGTHN Function
- LEXCOMB Function
- LEXCOMBI Function
- LEXPERK Function
- LEXPERM Function
- LFACT Function
- LGAMMA Function
- LIBNAME Function
- LIBREF Function
- LOG Function
- LOG1PX Function
- LOG10 Function
- LOG2 Function
- LOGBETA Function
- LOGCDF Function
- LOGPDF Function
- LOGSDF Function
- LOWCASE Function
- LPERM Function
- LPNORM Function
- MAD Function
- MARGRCLPRC Function
- MARGRPTPRC Function
- MAX Function
- MD5 Function
- MDY Function
- MEAN Function
- MEDIAN Function
- MIN Function
- MINUTE Function
- MISSING Function
- MOD Function
- MODEXIST Function
- MODULEC Function
- MODULEN Function
- MODZ Function
- MONTH Function
- MOPEN Function
- MORT Function
- MSPLINT Function
- MVALID Function
- N Function
- NETPV Function
- NLITERAL Function
- NMISS Function
- NOMRATE Function
- NORMAL Function
- NOTALNUM Function
- NOTALPHA Function
- NOTCNTRL Function
- NOTDIGIT Function
- NOTE Function
- NOTFIRST Function
- NOTGRAPH Function
- NOTLOWER Function
- NOTNAME Function
- NOTPRINT Function
- NOTPUNCT Function
- NOTSPACE Function
- NOTUPPER Function
- NOTXDIGIT Function
- NPV Function
- NVALID Function
- NWKDOM Function
- OPEN Function
- ORDINAL Function
- PATHNAME Function
- PCTL Function
- PDF Function
- PEEK Function
- PEEKC Function
- PEEKCLONG Function
- PEEKLONG Function
- PERM Function
- PMT Function
- POINT Function
- POISSON Function
- PPMT Function
- PROBBETA Function
- PROBBNML Function
- PROBBNRM Function
- PROBCHI Function
- PROBF Function
- PROBGAM Function
- PROBHYPR Function
- PROBIT Function
- PROBMC Function
- PROBNEGB Function
- PROBNORM Function
- PROBT Function
- PROPCASE Function
- PRXCHANGE Function
- PRXMATCH Function
- PRXPAREN Function
- PRXPARSE Function
- PRXPOSN Function
- PTRLONGADD Function
- PUT Function
- PUTC Function
- PUTN Function
- PVP Function
- QTR Function
- QUANTILE Function
- QUOTE Function
- RANBIN Function
- RANCAU Function
- RAND Function
- RANEXP Function
- RANGAM Function
- RANGE Function
- RANK Function
- RANNOR Function
- RANPOI Function
- RANTBL Function
- RANTRI Function
- RANUNI Function
- RENAME Function
- REPEAT Function
- RESOLVE Function
- REVERSE Function
- REWIND Function
- RIGHT Function
- RMS Function
- ROUND Function
- ROUNDE Function
- ROUNDZ Function
- SAVING Function
- SAVINGS Function
- SCAN Function
- SDF Function
- SECOND Function
- SIGN Function
- SIN Function
- SINH Function
- SKEWNESS Function
- SLEEP Function
- SMALLEST Function
- SOAPWEB Function
- SOAPWEBMETA Function
- SOAPWIPSERVICE Function
- SOAPWIPSRS Function
- SOAPWS Function
- SOAPWSMETA Function
- SOUNDEX Function
- SPEDIS Function
- SQRT Function
- SQUANTILE Function
- STD Function
- STDERR Function
- STFIPS Function
- STNAME Function
- STNAMEL Function
- STRIP Function
- SUBPAD Function
- SUBSTR (left of =) Function
- SUBSTR (right of =) Function
- SUBSTRN Function
- SUM Function
- SUMABS Function
- SYMEXIST Function
- SYMGET Function
- SYMGLOBL Function
- SYMLOCAL Function
- SYSEXIST Function
- SYSGET Function
- SYSMSG Function
- SYSPARM Function
- SYSPROCESSID Function
- SYSPROCESSNAME Function
- SYSPROD Function
- SYSRC Function
- SYSTEM Function
- TAN Function
- TANH Function
- TIME Function
- TIMEPART Function
- TIMEVALUE Function
- TINV Function
- TNONCT Function
- TODAY Function
- TRANSLATE Function
- TRANSTRN Function
- TRANWRD Function
- TRIGAMMA Function
- TRIM Function
- TRIMN Function
- TRUNC Function
- UNIFORM Function
- UPCASE Function
- URLDECODE Function
- URLENCODE Function
- USS Function
- UUIDGEN Function
- VAR Function
- VARFMT Function
- VARINFMT Function
- VARLABEL Function
- VARLEN Function
- VARNAME Function
- VARNUM Function
- VARRAY Function
- VARRAYX Function
- VARTYPE Function
- VERIFY Function
- VFORMAT Function
- VFORMATD Function
- VFORMATDX Function
- VFORMATN Function
- VFORMATNX Function
- VFORMATW Function
- VFORMATWX Function
- VFORMATX Function
- VINARRAY Function
- VINARRAYX Function
- VINFORMAT Function
- VINFORMATD Function
- VINFORMATDX Function
- VINFORMATN Function
- VINFORMATNX Function
- VINFORMATW Function
- VINFORMATWX Function
- VINFORMATX Function
- VLABEL Function
- VLABELX Function
- VLENGTH Function
- VLENGTHX Function
- VNAME Function
- VNAMEX Function
- VTYPE Function
- VTYPEX Function
- VVALUE Function
- VVALUEX Function
- WEEK Function
- WEEKDAY Function
- WHICHC Function
- WHICHN Function
- YEAR Function
- YIELDP Function
- YRDIF Function
- YYQ Function
- ZIPCITY Function
- ZIPCITYDISTANCE Function
- ZIPFIPS Function
- ZIPNAME Function
- ZIPNAMEL Function
- ZIPSTATE Function
- Functions and CALL Routines Documented in Other SAS Publications
- References
- Tables of Perl Regular Expression (PRX) Metacharacters
- Recommended Reading
- Statements
- Title Page
- What's New in SAS 9.3 Statements
- About This Book
- SAS Statements
- Dictionary of SAS Statements
- SAS Statements Documented in Other SAS Publications
- DATA Step Statements by Category
- Global Statements by Category
- ABORT Statement
- ARRAY Statement
- Array Reference Statement
- Assignment Statement
- ATTRIB Statement
- BY Statement
- CALL Statement
- CARDS Statement
- CARDS4 Statement
- CATNAME Statement
- CHECKPOINT EXECUTE_ALWAYS Statement
- Comment Statement
- CONTINUE Statement
- DATA Statement
- DATALINES Statement
- DATALINES4 Statement
- DELETE Statement
- DESCRIBE Statement
- DISPLAY Statement
- DM Statement
- DO Statement
- DO Statement, Iterative
- DO UNTIL Statement
- DO WHILE Statement
- DROP Statement
- END Statement
- ENDSAS Statement
- ERROR Statement
- EXECUTE Statement
- FILE Statement
- FILENAME Statement
- FILENAME Statement, CATALOG Access Method
- FILENAME, CLIPBOARD Access Method
- FILENAME Statement, EMAIL (SMTP) Access Method
- FILENAME Statement, FTP Access Method
- FILENAME Statement, SFTP Access Method
- FILENAME Statement, SOCKET Access Method
- FILENAME Statement, URL Access Method
- FILENAME Statement, WebDAV Access Method
- FOOTNOTE Statement
- FORMAT Statement
- GO TO Statement
- IF Statement, Subsetting
- IF-THEN/ELSE Statement
- %INCLUDE Statement
- INFILE Statement
- INFORMAT Statement
- INPUT Statement
- INPUT Statement, Column
- INPUT Statement, Formatted
- INPUT Statement, List
- INPUT Statement, Named
- KEEP Statement
- LABEL Statement
- label: Statement
- LEAVE Statement
- LENGTH Statement
- LIBNAME Statement
- LIBNAME Statement for the JMP Engine
- LIBNAME Statement for WebDAV Server Access
- LINK Statement
- LIST Statement
- %LIST Statement
- LOCK Statement
- LOSTCARD Statement
- MERGE Statement
- MISSING Statement
- MODIFY Statement
- Null Statement
- OPTIONS Statement
- OUTPUT Statement
- PAGE Statement
- PUT Statement
- PUT Statement, Column
- PUT Statement, Formatted
- PUT Statement, List
- PUT Statement, Named
- PUTLOG Statement
- REDIRECT Statement
- REMOVE Statement
- RENAME Statement
- REPLACE Statement
- RESETLINE Statement
- RETAIN Statement
- RETURN Statement
- RUN Statement
- %RUN Statement
- SASFILE Statement
- SELECT Statement
- SET Statement
- SKIP Statement
- STOP Statement
- Sum Statement
- SYSECHO Statement
- TITLE Statement
- UPDATE Statement
- WHERE Statement
- WINDOW Statement
- X Statement
- Recommended Reading
- System Options
- Title Page
- What's New in SAS 9.3 System Options
- About This Book
- About SAS System Options
- SAS Functions for SAS System Options
- SAS System Options
- Dictionary of System Options
- SAS System Options Documented in Other SAS Publications
- SAS System Options by Category
- APPEND= System Option
- APPLETLOC= System Option
- AUTHPROVIDERDOMAIN System Option
- AUTOCORRECT System Option
- AUTOSAVELOC= System Option
- BINDING= System Option
- BOTTOMMARGIN= System Option
- BUFNO= System Option
- BUFSIZE= System Option
- BYERR System Option
- BYLINE System Option
- BYSORTED System Option
- CAPS System Option
- CARDIMAGE System Option
- CATCACHE= System Option
- CBUFNO= System Option
- CENTER System Option
- CGOPTIMIZE= System Option
- CHARCODE System Option
- CHKPTCLEAN System Option
- CLEANUP System Option
- CMPLIB= System Option
- CMPMODEL= System Option
- CMPOPT= System Option
- COLLATE System Option
- COLORPRINTING System Option
- COMPRESS= System Option
- COPIES= System Option
- CPUCOUNT= System Option
- CPUID System Option
- DATASTMTCHK= System Option
- DATE System Option
- DATESTYLE= System Option
- DEFLATION= System Option
- DETAILS System Option
- DEVICE= System Option
- DKRICOND= System Option
- DKROCOND= System Option
- DLCREATEDIR System Option
- DLDMGACTION= System Option
- DMR System Option
- DMS System Option
- DMSEXP System Option
- DMSLOGSIZE= System Option
- DMSOUTSIZE= System Option
- DMSPGMLINESIZE= System Option
- DMSSYNCHK System Option
- DSNFERR System Option
- DTRESET System Option
- DUPLEX System Option
- ECHOAUTO System Option
- EMAILAUTHPROTOCOL= System Option
- EMAILFROM System Option
- EMAILHOST= System Option
- EMAILID= System Option
- EMAILPORT System Option
- EMAILPW= System Option
- EMAILUTCOFFSET= System Option
- ENGINE= System Option
- ERRORABEND System Option
- ERRORBYABEND System Option
- ERRORCHECK= System Option
- ERRORS= System Option
- EXPLORER System Option
- FILESYNC= System Option
- FIRSTOBS= System Option
- FMTERR System Option
- FMTSEARCH= System Option
- FONTEMBEDDING System Option
- FONTRENDERING= System Option
- FONTSLOC= System Option
- FORMCHAR= System Option
- FORMDLIM= System Option
- FORMS= System Option
- GSTYLE System Option
- GWINDOW System Option
- HELPBROWSER= System Option
- HELPENCMD System Option
- HELPHOST System Option
- HELPPORT= System Option
- HTTPSERVERPORTMAX= System Option
- HTTPSERVERPORTMIN= System Option
- IBUFNO= System Option
- IBUFSIZE= System Option
- INITCMD System Option
- INITSTMT= System Option
- INSERT= System Option
- INTERVALDS= System Option
- INVALIDDATA= System Option
- JPEGQUALITY= System Option
- LABEL System Option
- LABELCHKPT System Option
- LABELCHKPTLIB= System Option
- LABELRESTART System Option
- _LAST_= System Option
- LEFTMARGIN= System Option
- LINESIZE= System Option
- LOGPARM= System Option
- LRECL= System Option
- MAPS= System Option
- MERGENOBY System Option
- MISSING= System Option
- MSGLEVEL= System Option
- MULTENVAPPL System Option
- NEWS= System Option
- NOTES System Option
- NUMBER System Option
- OBS= System Option
- ORIENTATION= System Option
- OVP System Option
- PAGEBREAKINITIAL System Option
- PAGENO= System Option
- PAGESIZE= System Option
- PAPERDEST= System Option
- PAPERSIZE= System Option
- PAPERSOURCE= System Option
- PAPERTYPE= System Option
- PARM= System Option
- PARMCARDS= System Option
- PDFACCESS System Option
- PDFASSEMBLY System Option
- PDFCOMMENT System Option
- PDFCONTENT System Option
- PDFCOPY System Option
- PDFFILLIN System Option
- PDFPAGELAYOUT= System Option
- PDFPAGEVIEW= System Option
- PDFPASSWORD= System Option
- PDFPRINT= System Option
- PDFSECURITY= System Option
- PRIMARYPROVIDERDOMAIN= System Option
- PRINTERPATH= System Option
- PRINTINIT System Option
- PRINTMSGLIST System Option
- QUOTELENMAX System Option
- REPLACE System Option
- REUSE= System Option
- RIGHTMARGIN= System Option
- RLANG System Option
- RSASUSER System Option
- S= System Option
- S2= System Option
- S2V= System Option
- SASHELP= System Option
- SASUSER= System Option
- SEQ= System Option
- SETINIT System Option
- SKIP= System Option
- SOLUTIONS System Option
- SORTDUP= System Option
- SORTEQUALS System Option
- SORTSIZE= System Option
- SORTVALIDATE System Option
- SOURCE System Option
- SOURCE2 System Option
- SPOOL System Option
- STARTLIB System Option
- STEPCHKPT System Option
- STEPCHKPTLIB= System Option
- STEPRESTART System Option
- SUMSIZE= System Option
- SVGCONTROLBUTTONS
- SVGHEIGHT= System Option
- SVGPRESERVEASPECTRATIO= System Option
- SVGTITLE= System Option
- SVGVIEWBOX= System Option
- SVGWIDTH= System Option
- SVGX= System Option
- SVGY= System Option
- SYNTAXCHECK System Option
- SYSPRINTFONT= System Option
- TERMINAL System Option
- TERMSTMT= System Option
- TEXTURELOC= System Option
- THREADS System Option
- TOOLSMENU System Option
- TOPMARGIN= System Option
- TRAINLOC= System Option
- UPRINTCOMPRESSION System Option
- URLENCODING= System Option
- USER= System Option
- UTILLOC= System Option
- UUIDCOUNT= System Option
- UUIDGENDHOST= System Option
- V6CREATEUPDATE= System Option
- VALIDFMTNAME= System Option
- VALIDMEMNAME= System Option
- VALIDVARNAME= System Option
- VARLENCHK= System Option
- VBUFSIZE= System Option
- VIEWMENU System Option
- VNFERR System Option
- WORK= System Option
- WORKINIT System Option
- WORKTERM System Option
- YEARCUTOFF= System Option
- Dictionary of System Options
- SAS Procedures for SAS System Options
- OPTIONS Procedure
- OPTLOAD Procedure
- OPTSAVE Procedure
- Recommended Reading
- Utilities
- Title Page
- What's New in Base SAS 9.3 Utilities
- About This Book
- Macro Utilities
- DATA Step Debugger
- Recommended Reading
- SQL Procedure
- Title Page
- What's New in the SAS 9.3 SQL Procedure
- About This Book
- Using the SQL Procedure
- Introduction to the SQL Procedure
- Retrieving Data from a Single Table
- Retrieving Data from Multiple Tables
- Creating and Updating Tables and Views
- Programming with the SQL Procedure
- Introduction
- Using PROC SQL Options to Create and Debug Queries
- Improving Query Performance
- Accessing SAS System Information by Using DICTIONARY Tables
- Using SAS Data Set Options with PROC SQL
- Using PROC SQL with the SAS Macro Facility
- Formatting PROC SQL Output by Using the REPORT Procedure
- Accessing a DBMS with SAS/ACCESS Software
- Using the Output Delivery System with PROC SQL
- Practical Problem-Solving with PROC SQL
- Overview
- Computing a Weighted Average
- Comparing Tables
- Overlaying Missing Data Values
- Computing Percentages within Subtotals
- Counting Duplicate Rows in a Table
- Expanding Hierarchical Data in a Table
- Summarizing Data in Multiple Columns
- Creating a Summary Report
- Creating a Customized Sort Order
- Conditionally Updating a Table
- Updating a Table with Values from Another Table
- Creating and Using Macro Variables
- Using PROC SQL Tables in Other SAS Procedures
- SQL Procedure Reference
- SQL Procedure
- Syntax: SQL Procedure
- Overview
- Examples: SQL Procedure
- Example 1: Creating a Table and Inserting Data into It
- Example 2: Creating a Table from a Query's Result
- Example 3: Updating Data in a PROC SQL Table
- Example 4: Joining Two Tables
- Example 5: Combining Two Tables
- Example 6: Reporting from DICTIONARY Tables
- Example 7: Performing an Outer Join
- Example 8: Creating a View from a Query's Result
- Example 9: Joining Three Tables
- Example 10: Querying an In-Line View
- Example 11: Retrieving Values with the SOUNDS-LIKE Operator
- Example 12: Joining Two Tables and Calculating a New Value
- Example 13: Producing All the Possible Combinations of the Values in a Column
- Example 14: Matching Case Rows and Control Rows
- Example 15: Counting Missing Values with a SAS Macro
- SQL SELECT Statement Clauses
- SQL Procedure Components
- Overview
- BETWEEN Condition
- BTRIM Function
- CALCULATED
- CASE Expression
- COALESCE Function
- column-definition
- column-modifier
- column-name
- CONNECTION TO
- CONTAINS Condition
- EXISTS Condition
- IN Condition
- IS Condition
- joined-table
- LIKE Condition
- LOWER Function
- query-expression
- sql-expression
- SUBSTRING Function
- summary-function
- table-expression
- UPPER Function
- SQL Procedure
- Appendixes
- Recommended Reading
- Glossary
- Macro Language
- Title Page
- What's New in the SAS 9.3 Macro Language Facility
- About This Book
- Understanding and Using the Macro Facility
- Introduction to the Macro Facility
- SAS Programs and Macro Processing
- Macro Variables
- Macro Processing
- Scopes of Macro Variables
- Macro Expressions
- Macro Quoting
- Macro Quoting
- Deciding When to Use a Macro Quoting Function and Which Function to Use
- %STR and %NRSTR Functions
- %BQUOTE and %NRBQUOTE Functions
- Referring to Already Quoted Variables
- Deciding How Much Text to Mask with a Macro Quoting Function
- %SUPERQ Function
- Summary of Macro Quoting Functions and the Characters that They Mask
- Unquoting Text
- How Macro Quoting Works
- Other Functions That Perform Macro Quoting
- Interfaces with the Macro Facility
- Storing and Reusing Macros
- Macro Facility Error Messages and Debugging
- Writing Efficient and Portable Macros
- Macro Language Elements
- Macro Language Dictionary
- AutoCall Macros
- AutoCall Macros
- %CMPRES and %QCMPRES Autocall Macros
- %COMPSTOR Autocall Macro
- %DATATYP Autocall Macro
- %KVERIFY Autocall Macro
- %LEFT and %QLEFT Autocall Macro
- %LOWCASE and %QLOWCASE Autocall Macros
- %QCMPRES Autocall Macro
- %QLEFT Autocall Macro
- %QLOWCASE Autocall Macro
- %QTRIM Autocall Macro
- %SYSRC Autocall Macro
- %TRIM and %QTRIM Autocall Macro
- %VERIFY Autocall Macro
- Automatic Macro Variables
- Automatic Macro Variables
- SYSADDRBITS Automatic Macro Variable
- SYSBUFFR Automatic Macro Variable
- SYSCC Automatic Macro Variable
- SYSCHARWIDTH Automatic Macro Variable
- SYSCMD Automatic Macro Variable
- SYSDATE Automatic Macro Variable
- SYSDATE9 Automatic Macro Variable
- SYSDAY Automatic Macro Variable
- SYSDEVIC Automatic Macro Variable
- SYSDMG Automatic Macro Variable
- SYSDSN Automatic Macro Variable
- SYSENCODING Automatic Macro Variable
- SYSENDIAN Automatic Macro Variable
- SYSENV Automatic Macro Variable
- SYSERR Automatic Macro Variable
- SYSERRORTEXT Automatic Macro Variable
- SYSFILRC Automatic Macro Variable
- SYSHOSTNAME Automatic Macro Variable
- SYSINDEX Automatic Macro Variable
- SYSINFO Automatic Macro Variable
- SYSJOBID Automatic Macro Variable
- SYSLAST Automatic Macro Variable
- SYSLCKRC Automatic Macro Variable
- SYSLIBRC Automatic Macro Variable
- SYSLOGAPPLNAME Automatic Macro Variable
- SYSMACRONAME Automatic Macro Variable
- SYSMENV Automatic Macro Variable
- SYSMSG Automatic Macro Variable
- SYSNCPU Automatic Macro Variable
- SYSNOBS Automatic Macro Variable
- SYSODSESCAPECHAR Automatic Macro Variable
- SYSODSPATH Automatic Macro Variable
- SYSPARM Automatic Macro Variable
- SYSPBUFF Automatic Macro Variable
- SYSPROCESSID Automatic Macro Variable
- SYSPROCESSNAME Automatic Macro Variable
- SYSPROCNAME Automatic Macro Variable
- SYSRC Automatic Macro Variable
- SYSSCP and SYSSCPL Automatic Macro Variables
- SYSSCPL Automatic Macro Variable
- SYSSITE Automatic Macro Variable
- SYSSIZEOFLONG Automatic Macro Variable
- SYSSIZEOFPTR Automatic Macro Variable
- SYSSIZEOFUNICODE Automatic Macro Variable
- SYSSTARTID Automatic Macro Variable
- SYSSTARTNAME Automatic Macro Variable
- SYSTCPIPHOSTNAME Automatic Macro Variable
- SYSTIME Automatic Macro Variable
- SYSUSERID Automatic Macro Variable
- SYSVER Automatic Macro Variable
- SYSVLONG Automatic Macro Variable
- SYSVLONG4 Automatic Macro Variable
- SYSWARNINGTEXT Automatic Macro Variable
- DATA Step Call Routines for Macros
- DATA Step Functions for Macros
- Macro Functions
- Macro Functions
- %BQUOTE and %NRBQUOTE Functions
- %EVAL Function
- %INDEX Function
- %LENGTH Function
- %NRBQUOTE Function
- %NRQUOTE Function
- %NRSTR Function
- %QSCAN Function
- %QSUBSTR Function
- %QSYSFUNC Function
- %QUOTE and %NRQUOTE Functions
- %QUPCASE Function
- %SCAN and %QSCAN Functions
- %STR and %NRSTR Functions
- %SUBSTR and %QSUBSTR Functions
- %SUPERQ Function
- %SYMEXIST Function
- %SYMGLOBL Function
- %SYMLOCAL Function
- %SYSEVALF Function
- %SYSMACEXEC Function
- %SYSMACEXIST Function
- %SYSMEXECDEPTH Function
- %SYSMEXECNAME Function
- %SYSFUNC and %QSYSFUNC Functions
- %SYSGET Function
- %SYSPROD Function
- %UNQUOTE Function
- %UPCASE and %QUPCASE Functions
- SQL Clauses for Macros
- Macro Statements
- Macro Statements
- %ABORT Statement
- %* Macro Comment Statement
- %COPY Statement
- %DISPLAY Statement
- %DO Statement
- %DO, Iterative Statement
- %DO %UNTIL Statement
- %DO %WHILE Statement
- %END Statement
- %GLOBAL Statement
- %GOTO Statement
- %IF-%THEN/%ELSE Statement
- %INPUT Statement
- %label Statement
- %LET Statement
- %LOCAL Statement
- %MACRO Statement
- %MEND Statement
- %PUT Statement
- %RETURN Statement
- %SYMDEL Statement
- %SYSCALL Statement
- %SYSEXEC Statement
- %SYSLPUT Statement
- %SYSMACDELETE Statement
- %SYSMSTORECLEAR Statement
- %SYSRPUT Statement
- %WINDOW Statement
- System Options for Macros
- System Options for Macros
- CMDMAC System Option
- IMPLMAC System Option
- MACRO System Option
- MAUTOCOMPLOC System Option
- MAUTOLOCDISPLAY System Option
- MAUTOLOCINDES System Option
- MAUTOSOURCE System Option
- MCOMPILENOTE System Option
- MCOMPILE System Option
- MCOVERAGE System Options
- MCOVERAGELOC= System Option
- MERROR System Option
- MEXECNOTE System Option
- MEXECSIZE System Option
- MFILE System Option
- MINDELIMITER= System Option
- MINOPERATOR System Option
- MLOGIC System Option
- MLOGICNEST System Option
- MPRINT System Option
- MPRINTNEST System Option
- MRECALL System Option
- MREPLACE System Option
- MSTORED System Option
- MSYMTABMAX= System Option
- MVARSIZE= System Option
- SASAUTOS= System Option
- SASMSTORE= System Option
- SERROR System Option
- SYMBOLGEN System Option
- SYSPARM= System Option
- AutoCall Macros
- Appendices
- Recommended Reading
- Glossary
- National Language Support (NLS)
- Title Page
- What's New in the SAS 9.3 National Language Support
- NLS Concepts
- National Language Support (NLS)
- Locale for NLS
- Encoding for NLS
- Overview: Encoding for NLS
- Difference between Encoding and Transcoding
- Character Sets for Encoding in NLS
- Common Encoding Methods
- Standards Organizations for NLS Encodings
- Code Point Discrepancies among EBCDIC Encodings
- Collating Sequence
- Determining the Encoding of a SAS Session and a Data Set
- Default SAS Session Encoding
- Setting the Encoding of a SAS Session
- Encoding Behavior in a SAS Session
- Transcoding for NLS
- Overview to Transcoding
- Common Reasons for Transcoding
- Transcoding and Translation Tables
- SAS Options That Transcode SAS Data
- Transcoding between Operating Environments
- Transcoding Considerations
- Compatible and Incompatible Encodings
- Preventing Transcoding
- Avoiding Character Data Truncation by Using the CVP Engine
- Double-Byte Character Sets (DBCS)
- Autocall Macros for NLS
- Data Set Options for NLS
- Formats for NLS
- Overview to NLS Formats
- Format Entries
- Categories of NLS Formats
- $BIDIw. Format
- $CPTDWw. Format
- $CPTWDw. Format
- EUROw.d Format
- EUROXw.d Format
- HDATEw. Format
- HEBDATEw. Format
- $KANJIw. Format
- $KANJIXw. Format
- $LOGVSw. Format
- $LOGVSRw. Format
- MINGUOw. Format
- NENGOw. Format
- NLBESTw. Format
- NLDATEw. Format
- NLDATEMDw. Format
- NLDATEMNw. Format
- NLDATEWw. Format
- NLDATEWNw. Format
- NLDATEYMw. Format
- NLDATEYQw. Format
- NLDATEYRw. Format
- NLDATEYWw. Format
- NLDATMw. Format
- NLDATMAPw. Format
- NLDATMDTw. Format
- NLDATMMDw. Format
- NLDATMMNw. Format
- NLDATMTMw. Format
- NLDATMTZw. Format
- NLDATMWw. Format
- NLDATMWNw. Format
- NLDATMWZw. Format
- NLDATMYMw. Format
- NLDATMYQw. Format
- NLDATMYRw. Format
- NLDATMYWw. Format
- NLDATMZw. Format
- NLMNIAEDw.d Format
- NLMNIAUDw.d Format
- NLMNIBGNw.d Format
- NLMNIBRLw.d Format
- NLMNICADw.d Format
- NLMNICHFw.d Format
- NLMNICNYw.d Format
- NLMNICZKw.d Format
- NLMNIDKKw.d Format
- NLMNIEEKw.d Format
- NLMNIEGPw.d Format
- NLMNIEURw.d Format
- NLMNIGBPw.d Format
- NLMNIHKDw.d Format
- NLMNIHRKw.d Format
- NLMNIHUFw.d Format
- NLMNIIDRw.d Format
- NLMNIILSw.d Format
- NLMNIINRw.d Format
- NLMNIJPYw.d Format
- NLMNIKRWw.d Format
- NLMNILTLw.d Format
- NLMNILVLw.d Format
- NLMNIMOPw.d Format
- NLMNIMXNw.d Format
- NLMNIMYRw.d Format
- NLMNINOKw.d Format
- NLMNINZDw.d Format
- NLMNIPLNw.d Format
- NLMNIRUBw.d Format
- NLMNISEKw.d Format
- NLMNISGDw.d Format
- NLMNITHBw.d Format
- NLMNITRYw.d Format
- NLMNITWDw.d Format
- NLMNIUSDw.d Format
- NLMNIZARw.d Format
- NLMNLAEDx.d Format
- NLMNLAUDw.d Format
- NLMNLBGNw.d Format
- NLMNLBRLw.d Format
- NLMNLCADw.d Format
- NLMNLCHFw.d Format
- NLMNLCNYw.d Format
- NLMNLCZKw.d Format
- NLMNLDKKw.d Format
- NLMNLEEKw.d Format
- NLMNLEGPw.d Format
- NLMNLEURw.d Format
- NLMNLGBPw.d Format
- NLMNLHKDw.d Format
- NLMNLHRKw.d Format
- NLMNLHUFw.d Format
- NLMNLIDRw.d Format
- NLMNLILSw.d Format
- NLMNLINRw.d Format
- NLMNLJPYw.d Format
- NLMNLKRWw.d Format
- NLMNLLTLw.d Format
- NLMNLLVLw.d Format
- NLMNLMOPw.d Format
- NLMNLMXNw.d Format
- NLMNLMYRw.d Format
- NLMNLNOKw.d Format
- NLMNLNZDw.d Format
- NLMNLPLNw.d Format
- NLMNLRUBw.d Format
- NLMNLSEKw.d Format
- NLMNLSGDw.d Format
- NLMNLTHBw.d Format
- NLMNLTRYw.d Format
- NLMNLTWDw.d Format
- NLMNLUSDw.d Format
- NLMNLZARw.d Format
- NLMNYw.d Format
- NLMNYIw.d Format
- NLNUMw.d Format
- NLNUMIw.d Format
- NLPCTw.d Format
- NLPCTIw.d Format
- NLPCTNw.d Format
- NLPCTPw.d Format
- NLPVALUEw.d Format
- NLSTRMONw.d Format
- NLSTRQTRw.d Format
- NLSTRWKw.d Format
- NLTIMAPw. Format
- NLTIMEw. Format
- $UCS2Bw. Format
- $UCS2BEw. Format
- $UCS2Lw. Format
- $UCS2LEw. Format
- $UCS2Xw. Format
- $UCS2XEw. Format
- $UCS4Bw. Format
- $UCS4BEw. Format
- $UCS4Lw. Format
- $UCS4LEw. Format
- $UCS4Xw. Format
- $UCS4XEw. Format
- $UESCw. Format
- $UESCEw. Format
- $UNCRw. Format
- $UNCREw. Format
- $UPARENw. Format
- $UPARENEw. Format
- $UTF8Xw. Format
- $UTF8XEw. Format
- $VSLOGw. Format
- $VSLOGRw. Format
- WEEKUw. Format
- WEEKVw. Format
- WEEKWw. Format
- YENw.d Format
- YYWEEKUw. Format
- YYWEEKVw. Format
- YYWEEKWw. Format
- Functions for NLS
- Internationalization Compatibility for SAS String Functions
- Function Entries
- Functions by Category
- ENCODCOMPAT Function
- ENCODISVALID Function
- GETLOCENV Function
- GETPXLANGUAGE Function
- GETPXLOCALE Function
- GETPXREGION Function
- KCOMPARE Function
- KCOMPRESS Function
- KCOUNT Function
- KCVT Function
- KINDEX Function
- KINDEXC Function
- KLEFT Function
- KLENGTH Function
- KLOWCASE Function
- KPROPCASE Function
- KPROPCHAR Function
- KPROPDATA Function
- KREVERSE Function
- KRIGHT Function
- KSCAN Function
- KSTRCAT Function
- KSUBSTR Function
- KSUBSTRB Function
- KTRANSLATE Function
- KTRIM Function
- KTRUNCATE Function
- KUPCASE Function
- KUPDATE Function
- KUPDATEB Function
- KVERIFY Function
- NLDATE Function
- NLDATM Function
- NLTIME Function
- SASMSG Function
- SASMSGL Function
- SORTKEY Function
- SETLOCALE Function
- TRANTAB Function
- UNICODE Function
- UNICODEC Function
- UNICODELEN Function
- UNICODEWIDTH Function
- VARTRANSCODE Function
- VTRANSCODE Function
- VTRANSCODEX Function
- Informats for NLS
- Informat Entries
- Informats by Category
- $CPTDWw. Informat
- $CPTWDw. Informat
- EUROw.d Informat
- EUROXw.d Informat
- $KANJIw. Informat
- $KANJIXw. Informat
- $LOGVSw. Informat
- $LOGVSRw. Informat
- MINGUOw. Informat
- NENGOw. Informat
- NLDATEw. Informat
- NLDATMw. Informat
- NLMNIAEDw.d Informat
- NLMNIAUDw.d Informat
- NLMNIBGNw.d Informat
- NLMNIBRLw.d Informat
- NLMNICADw.d Informat
- NLMNICHFw.d Informat
- NLMNICNYw.d Informat
- NLMNICZKw.d Informat
- NLMNIDKKw.d Informat
- NLMNIEEKw.d Informat
- NLMNIEGPw.d Informat
- NLMNIEURw.d Informat
- NLMNIGBPw.d Informat
- NLMNIHKDw.d Informat
- NLMNIHRKw.d Informat
- NLMNIHUFw.d Informat
- NLMNIIDRw.d Informat
- NLMNIILSw.d Informat
- NLMNIINRw.d Informat
- NLMNIJPYw.d Informat
- NLMNIKRWw.d Informat
- NLMNILTLw.d Informat
- NLMNILVLw.d Informat
- NLMNIMOPw.d Informat
- NLMNIMXNw.d Informat
- NLMNIMYRw.d Informat
- NLMNINOKw.d Informat
- NLMNINZDw.d Informat
- NLMNIPLNw.d Informat
- NLMNIRUBw.d Informat
- NLMNISEKw.d Informat
- NLMNISGDw.d Informat
- NLMNITHBw.d Informat
- NLMNITRYw.d Informat
- NLMNITWDw.d Informat
- NLMNIUSDw.d Informat
- NLMNIZARw.d Informat
- NLMNLAEDw.d Informat
- NLMNLAUDw.d Informat
- NLMNLBGNw.d Informat
- NLMNLBRLw.d Informat
- NLMNLCADw.d Informat
- NLMNLCHFw.d Informat
- NLMNLCNYw.d Informat
- NLMNLCZKw.d Informat
- NLMNLDKKw.d Informat
- NLMNLEEKw.d Informat
- NLMNLEGPw.d Informat
- NLMNLEURw.d Informat
- NLMNLGBPw.d Informat
- NLMNLHKDw.d Informat
- NLMNLHRKw.d Informat
- NLMNLHUFw.d Informat
- NLMNLIDRw.d Informat
- NLMNLILSw.d Informat
- NLMNLINRw.d Informat
- NLMNLJPYw.d Informat
- NLMNLKRWw.d Informat
- NLMNLLTLw.d Informat
- NLMNLLVLw.d Informat
- NLMNLMOPw.d Informat
- NLMNLMXNw.d Informat
- NLMNLMYRw.d Informat
- NLMNLNOKw.d Informat
- NLMNLNZDw.d Informat
- NLMNLPLNw.d Informat
- NLMNLRUBw.d Informat
- NLMNLSEKw.d Informat
- NLMNLSGDw.d Informat
- NLMNLTHBw.d Informat
- NLMNLTRYw.d Informat
- NLMNLTWDw.d Informat
- NLMNLUSDw.d Informat
- NLMNLZARw.d Informat
- NLMNYw.d Informat
- NLMNYIw.d Informat
- NLNUMw.d Informat
- NLNUMIw.d Informat
- NLPCTw.d Informat
- NLPCTIw.d Informat
- NLTIMAPw. Informat
- NLTIMEw. Informat
- $REVERJw. Informat
- $REVERSw. Informat
- $UCS2Bw. Informat
- $UCS2BEw. Informat
- $UCS2Lw. Informat
- $UCS2LEw. Informat
- $UCS2Xw. Informat
- $UCS2XEw. Informat
- $UCS4Bw. Informat
- $UCS4Lw. Informat
- $UCS4Xw. Informat
- $UCS4XEw. Informat
- $UESCw. Informat
- $UESCEw. Informat
- $UNCRw. Informat
- $UNCREw. Informat
- $UPARENw. Informat
- $UPARENEw. Informat
- $UPARENPw. Informat
- $UTF8Xw. Informat
- $VSLOGw. Informat
- $VSLOGRw. Informat
- YENw.d Informat
- Informat Entries
- Macro Functions for NLS
- System Options for NLS
- System Option Entries
- System Option Entries by Category
- BOMFILE System Option
- DATESTYLE= System Option
- DBCS System Option: UNIX, Windows, and z/OS
- DBCSLANG System Option: UNIX, Windows, and z/OS
- DBCSTYPE System Option: UNIX, Windows, and z/OS
- DFLANG= System Option: UNIX, Windows, and z/OS
- ENCODING System Option: UNIX, Windows, and z/OS
- FSDBTYPE System Option: UNIX
- FSIMM System Option: UNIX
- FSIMMOPT System Option: UNIX
- LOCALE System Option
- LOCALELANGCHG System Option
- NLSCOMPATMODE System Option: z/OS
- PAPERSIZE= System Option
- RSASIOTRANSERROR System Option
- SORTSEQ= System Option: UNIX, Windows, and z/OS
- TRANTAB= System Option
- URLENCODING= System Option
- VALIDMEMNAME System Option
- VALIDVARNAME= System Option
- System Option Entries
- Options for Commands, Statements, and Procedures for NLS
- Command, Statement, and Procedure Option Entries
- Commands, Statements, and Procedures for NLS by Category
- CHARSET= Option
- Collating Sequence Option
- CORRECTENCODING= Option
- CVPBYTES=, CVPENGINE=, and CVPMULTIPLIER= Options
- ENCODING= Option
- INENCODING= and OUTENCODING= Options
- ODSCHARSET= Option
- ODSTRANTAB= Option
- TRANSCODE= Column Modifier on PROC SQL
- RENCODING= Option
- TRANSCODE= Option
- TRANTAB= Option
- XMLENCODING= Option
- TRANTAB Statement
- Command, Statement, and Procedure Option Entries
- Procedures for NLS
- DBCSTAB Procedure
- TRANTAB Procedure
- Syntax: TRANTAB Procedure
- Overview: TRANTAB Procedure
- Concepts: TRANTAB Procedure
- Examples: TRANTAB Procedure
- Example 1: Viewing a Translation Table
- Example 2: Creating a Translation Table
- Example 3: Editing by Specifying a Decimal Value for Starting Position
- Example 4: Editing by Using a Quoted Character for Starting Position
- Example 5: Creating the Inverse of a Table
- Example 6: Using Different Translation Tables for Sorting
- Example 7: Editing Table 1 and Table 2
- Values for Locale, Encoding, and Transcoding
- Appendixes
- Additional NLS Language Elements
- Additional NLS Language Elements
- EURDFDDw. Format
- EURDFDEw. Format
- EURDFDNw. Format
- EURDFDTw.d Format
- EURDFDWNw. Format
- EURDFMNw. Format
- EURDFMYw. Format
- EURDFWDXw. Format
- EURDFWKXw. Format
- EURFRATSw.d Format
- EURFRBEFw.d Format
- EURFRCHFw.d Format
- EURFRDEMw.d Format
- EURFRDKKw.d Format
- EURFRESPw.d Format
- EURFRFIMw.d Format
- EURFRFRFw.d Format
- EURFRGBPw.d Format
- EURFRGRDw.d Format
- EURFRHUFw.d Format
- EURFRIEPw.d Format
- EURFRITLw.d Format
- EURFRLUFw.d Format
- EURFRNLGw.d Format
- EURFRNOKw.d Format
- EURFRPLZw.d Format
- EURFRPTEw.d Format
- EURFRROLw.d Format
- EURFRRURw.d Format
- EURFRSEKw.d Format
- EURFRSITw.d Format
- EURFRTRLw.d Format
- EURFRYUDw.d Format
- EURTOATSw.d Format
- EURTOBEFw.d Format
- EURTOCHFw.d Format
- EURTOCZKw.d Format
- EURTODEMw.d Format
- EURTODKKw.d Format
- EURTOESPw.d Format
- EURTOFIMw.d Format
- EURTOFRFw.d Format
- EURTOGBPw.d Format
- EURTOGRDw.d Format
- EURTOHUFw.d Format
- EURTOIEPw.d Format
- EURTOITLw.d Format
- EURTOLUFw.d Format
- EURTONLGw.d Format
- EURTONOKw.d Format
- EURTOPLZw.d Format
- EURTOPTEw.d Format
- EURTOROLw.d Format
- EURTORURw.d Format
- EURTOSEKw.d Format
- EURTOSITw.d Format
- EURTOTRLw.d Format
- EURTOYUDw.d Format
- EURDFDEw. Informat
- EURDFDTw. Informat
- EURDFMYw. Informat
- EUROCURR Function
- Additional NLS Language Elements
- Recommended Reading
- Glossary
- Output Delivery System
- Title Page
- What's New in the Output Delivery System
- Accessibility for the Output Delivery System
- About This Book
- Introduction
- Concepts
- Output Delivery System: Basic Concepts
- Introduction to the Output Delivery System
- Gallery of ODS Samples
- Overview of How ODS Works
- Understanding ODS Destinations
- Understanding Table Templates, Table Elements, and Table Attributes
- Understanding Styles, Style Elements, and Style Attributes
- Understanding Item Stores, Template Stores, and Directories
- Changing SAS Registry Settings for ODS
- Customized ODS Output
- Summary of ODS
- Output Delivery System: Basic Concepts
- Output Delivery System and the DATA Step
- ODS Statements
- Introduction to ODS Language Statements
- Dictionary of ODS Language Statements
- ODS Statement Category Descriptions
- ODS Statements by Category
- FILE Statement for ODS
- LIBNAME Statement, SASEDOC
- ODS _ALL_ CLOSE Statement
- ODS CHTML Statement
- ODS CSVALL Statement
- ODS DECIMAL_ALIGN Statement
- ODS DOCBOOK Statement
- ODS DOCUMENT Statement
- ODS ESCAPECHAR Statement
- ODS EXCLUDE Statement
- ODS GRAPHICS Statement
- ODS HTML3 Statement
- ODS HTML Statement
- ODS HTMLCSS Statement
- ODS IMODE Statement
- ODS LISTING Statement
- ODS MARKUP Statement
- ODS NO_DECIMAL_ALIGN Statement
- ODS OUTPUT Statement
- ODS PACKAGE Statement
- ODS PATH Statement
- ODS PCL Statement
- ODS PDF Statement
- ODS PHTML Statement
- ODS PRINTER Statement
- ODS PROCLABEL Statement
- ODS PROCTITLE Statement
- ODS PS Statement
- ODS RESULTS Statement
- ODS RTF Statement
- ODS SELECT Statement
- ODS SHOW Statement
- ODS Tagset Statement
- ODS TAGSETS.RTF Statement
- ODS TEXT= Statement
- ODS TRACE Statement
- ODS USEGOPT Statement
- ODS VERIFY Statement
- ODS WML Statement
- PUT Statement for ODS
- System Options for ODS
- The DOCUMENT Procedure
- The TEMPLATE Procedure
- TEMPLATE Procedure: Overview
- TEMPLATE Procedure: Managing Template Stores
- TEMPLATE Procedure: Creating Crosstabulation Table Templates
- TEMPLATE Procedure: Creating ODS Graphics
- TEMPLATE Procedure: Creating a Style Template
- Syntax: TEMPLATE Procedure
- Overview: ODS Style Templates
- Concepts: Styles and the TEMPLATE Procedure
- Style Attributes Overview
- Style Attributes Tables
- Detailed Information for All Style Attributes
- Style Attribute Values
- Examples: TEMPLATE Procedure
- Example 1: Creating a Stand-Alone Style
- Example 2: Using User-Defined Attributes
- Example 3: Using the CLASS Statement
- Example 4: Defining a Table and Graph Style
- Example 5: Defining Multiple Style Elements in One STYLE Statement
- Example 6: Importing a CSS File
- Example 7: Table Header and Footer Border Formatting
- TEMPLATE Procedure: Creating Table Templates
- Syntax: TEMPLATE Procedure
- Overview: ODS Table Templates
- Concepts: Tabular Output and the TEMPLATE Procedure
- Using the TEMPLATE Procedure to Create Tabular Output
- Examples: TEMPLATE Procedure
- Example 1: Editing a Table Template That a SAS Procedure Uses
- Example 2: Comparing the EDIT Statement to the DEFINE TABLE Statement
- Example 3: Creating a New Table Template
- Example 4: Setting the Style Element for Cells Based on Their Values
- Example 5: Setting the Style Element for a Specific Column, Row, and Cell
- Example 6: Creating Master Templates
- Example 7: Table Header and Footer Border Formatting
- TEMPLATE Procedure: Creating Markup Language Tagsets
- Syntax: TEMPLATE Procedure
- Overview: ODS Tagsets and the TEMPLATE PROCEDURE
- Concepts: Markup Languages and the TEMPLATE Procedure
- Event Variables
- Event Statement Conditions
- Examples: TEMPLATE Procedure
- Example 1: Creating a Tagset through Inheritance
- Example 2: Creating a Tagset by Copying a Tagset's Source
- Example 3: Creating a New Tagset
- Example 4: Executing Events Using the TRIGGER= Statement
- Example 5: Indenting Output
- Example 6: Using Different Styles for Events
- Example 7: Modifying an Event to Include Other Style Sheets
- Example 8: Using the STACKED_COLUMNS Attribute in a Tagset
- Appendices
- Output Object Table Names
- Example Programs
- Examples From The Gallery of ODS Samples
- Creating the $CNTRY Format
- Creating the Charity Data Set
- Creating the DIVFMT. and USETYPE. Formats
- Creating the DistrData Data Set
- Creating the Univ ODS Document
- Creating the Employee_Data Data Set
- Creating the Energy Data Set
- Creating the Exprev Data Set
- Creating the Gov Data Set
- Creating the Grain_Production Data Set
- Creating the Iron Data Set
- Creating the Model Data Set
- Creating the Neuralgia Data Set
- Creating the Plants Data Set
- Creating the Plant_Stat Data Set
- Creating the StatePop Data Set
- Creating the Stats and Stats2 Data Sets
- Creating the Table1 Table Definition
- Programs That Illustrate Inheritance
- ODS and the HTML Destination
- ODS HTML Statements for Running Examples in Different Operating Environments
- ODS Style Elements
- Recommended Reading
- Glossary
- ODS Graphics Editor
- Title Page
- What's New in the SAS 9.3 ODS Graphics Editor
- Introduction to the ODS Graphics Editor
- Editing Graphs
- Modifying General Graph Properties
- Working with Titles and Footnotes
- About Titles and Footnotes
- Add a Title or Footnote to a Graph
- Edit or Format a Title or Footnote
- Using the Formatting Toolbar
- Using the Color List Box
- Aligning a Title or Footnote in a Graph
- Move a Title or Footnote in a Graph
- Delete a Title or Footnote from a Graph
- Use of Alternate Short Text in Graph Elements
- Working with Legends
- Modifying Plot and Axis Properties
- Working with Data Labels and Multi-Cell Graphs
- Annotating Graphs
- Annotation Overview
- Using Annotations in a Graph
- About Text Annotations
- Add a Text Annotation to a Graph
- Edit a Text Annotation
- About Lines and Arrows
- Add a Line to a Graph
- Add an Arrow to a Graph
- About Ovals and Rectangles
- Add an Oval to a Graph
- Add a Rectangle to a Graph
- About Markers
- Add a Marker to a Graph
- About Images
- Add and Position an Image in a Graph
- Changing the Visual Properties of Annotations
- Adding Text to Annotations
- Modifying Annotations
- Examples
- Glossary
- ODS Graphics Designer
- Title Page
- What's New in SAS 9.3 ODS Graphics Designer
- Introduction
- Getting Started
- Designing Graphs
- Creating and Managing Graphs
- Creating a Graph
- Add a Plot to a Graph
- Assigning Data to a Plot
- Select a Plot
- Adding Reference Lines to Graphs
- Remove a Plot from a Graph
- Save a Graph to a File
- Add a Graph to the Graph Gallery
- Open a Graph
- Working with the Graph Code
- Copy and Paste a Graph to Another Application
- Manage the Plots and Insets in a Cell
- Working with Titles and Footnotes
- Working with Legends
- Working with Text Entries
- General Information about Modifying Textual Elements
- Creating and Managing Graphs
- Changing the Appearance of Graphs
- Multi-Cell Graphs
- Shared Variables
- Managing Preferences and the Graph Gallery
- Examples
- Glossary
- ODS Graphics Procedures
- Title Page
- What's New in SAS ODS Graphics Procedures 9.3
- Introduction
- Introduction to SAS ODS Graphics Procedures
- Overview of the SAS ODS Graphics Procedures
- Introduction to the SGDESIGN Procedure
- Introduction to the SGPANEL Procedure
- Introduction to the SGPLOT Procedure
- Introduction to the SGRENDER Procedure
- Introduction to the SGSCATTER Procedure
- The ODS Graphics System
- About the SAS Sample Library
- References
- SAS Statements That Are Used with ODS Graphics Procedures
- Introduction to SAS ODS Graphics Procedures
- SAS ODS Graphics Procedures
- SGDESIGN Procedure
- SGPANEL Procedure
- SGPLOT Procedure
- Syntax: SGPLOT Procedure
- Overview: SGPLOT Procedure
- Concepts: SGPLOT Procedure
- Examples: SGPLOT Procedure
- Example 1: Grouping a Scatter Plot
- Example 2: Clustering a Grouped Scatter Plot
- Example 3: Plotting Three Series
- Example 4: Adding Prediction and Confidence Bands to a Regression Plot
- Example 5: Adding a Prediction Ellipse to a Scatter Plot
- Example 6: Creating Lines and Bands from Pre-Computed Data
- Example 7: Adding Statistical Limits to a Dot Plot
- Example 8: Combining Histograms with Density Plots
- Example 9: Creating a Horizontal Box Plot
- Example 10: Creating a Bar-Line Chart
- Example 11: Creating a High-Low Chart
- SGRENDER Procedure
- SGSCATTER Procedure
- SG Annotation (Preproduction)
- SG Attribute Maps
- Customizing ODS Graphics
- Appendix
- Glossary
- Graph Template Language: Reference
- Title Page
- What's New in SAS 9.3 Graph Template Language
- Fundamentals
- Graph Block
- Layout Statements
- Plot Statements
- Key Concepts for Using Plots
- BANDPLOT Statement
- BARCHART Statement
- BARCHARTPARM Statement
- BIHISTOGRAM3DPARM Statement
- BLOCKPLOT Statement
- BOXPLOT Statement
- BOXPLOTPARM Statement
- BUBBLEPLOT Statement
- CONTOURPLOTPARM Statement
- DENDROGRAM Statement
- DENSITYPLOT Statement
- DROPLINE Statement
- ELLIPSE Statement
- ELLIPSEPARM Statement
- FRINGEPLOT Statement
- HEATMAPPARM Statement
- HIGHLOWPLOT Statement
- HISTOGRAM Statement
- HISTOGRAMPARM Statement
- LINEPARM Statement
- LOESSPLOT Statement
- MODELBAND Statement
- NEEDLEPLOT Statement
- PBSPLINEPLOT Statement
- PIECHART Statement
- REFERENCELINE Statement
- REGRESSIONPLOT Statement
- SCATTERPLOT Statement
- SCATTERPLOTMATRIX Statement
- SERIESPLOT Statement
- STEPPLOT Statement
- SURFACEPLOTPARM Statement
- VECTORPLOT Statement
- WATERFALLCHART Statement
- Plot Axes
- Legend Statements
- Text Statements
- Draw Statements
- Attribute Maps
- Runtime Programming Features
- Appendices
- Glossary
- Graph Template Language: User's Guide
- Title Page
- ODS Graphics
- Overview of ODS Graphics
- Automatic Graphics from SAS Analytical Procedures
- Modifying Templates for Automatic Graphs
- Editing Graphs Using the ODS Graphics Editor
- Creating Graphs Using the SAS Statistical Graphics Procedures
- Creating Graphs Using the SAS ODS Graphics Designer
- The Graph Template Language
- Sample of ODS Graphics Output
- Quick Start
- Overview of Basic Statements and Options
- Using a Simple Single-cell Layout
- Managing Axes in an OVERLAY Layout
- Managing Graph Appearance: General Principles
- Adding and Changing Text in a Graph
- Adding Legends to a Graph
- Using a Simple Multi-cell Layout
- Using an Advanced Multi-cell Layout
- Using Classification Panels
- Introduction to Classification Panels
- Organizing Panel Contents
- Setting Panel Axis Features
- Controlling the Classification Headers
- Using Sidebars
- Controlling the Interactions of Classifiers
- Using Non-computed Plots in Classification Panels
- Adding an Inset to Each Cell
- Using PROC SGPANEL to Create Classification Panels
- Using an Equated Layout
- Using 3-D Graphics
- Using Dynamics and Macro Variables to Make Flexible Templates
- Using Conditional Logic and Expressions
- Adding Insets to a Graph
- Uses for Insets in a Graph
- Creating a Simple Inset with an ENTRY Statement
- Creating an Inset as a Table of Text
- Positioning an Inset
- Creating an Inset with Values that are Computed in the Template
- Creating an Inset from Values that are Passed to the Template
- Adding Insets to a SCATTERPLOTMATRIX Graph
- Adding Insets to Classification Panels
- Creating an Axis-Aligned Inset with a Block Plot
- Managing the Graph Appearance with Styles
- Adding Non-Data-Driven Graphics Elements to a Graph
- Executing Graph Templates
- Managing Graphical Output
- SAS Keywords for Unicode Glyphs
- Graph Style Elements for GTL
- Values for Marker Symbols and Line Patterns
- Tick Value Fit Policy Applicability Matrix
- SAS Formats Not Supported
- SAS Options Affecting Memory
- ODS Graphics and SAS/GRAPH
- Glossary
SAS/STAT 9.3
- SAS/STAT User's Guide
- Acknowledgments
- What's New in SAS/STAT
- Overview
- Enhancements
- CALIS Procedure
- CLUSTER Procedure
- EFFECT Statement
- EFFECTPLOT Statement
- FREQ Procedure
- GENMOD Procedure
- GLIMMIX Procedure
- GLMPOWER Procedure
- GLMSELECT Procedure
- HPMIXED Procedure
- LIFETEST Procedure
- LOGISTIC Procedure
- MCMC Procedure
- MI Procedure
- MULTTEST Procedure
- NLIN Procedure
- ORTHOREG Procedure
- PHREG Procedure
- PLS Procedure
- POWER Procedure
- QUANTREG Procedure
- ROBUSTREG Procedure
- SURVEYFREQ Procedure
- SURVEYLOGISTIC Procedure
- SURVEYMEANS Procedure
- SURVEYPHREG Procedure
- SURVEYREG Procedure
- SURVEYSELECT Procedure
- VARCLUS Procedure
- What's Changed
- Getting Started/Overview
- Introductions
- Introduction to Statistical Modeling with SAS/STAT Software
- Introduction to Regression Procedures
- Overview: Regression Procedures
- Introduction
- Introductory Example: Linear Regression
- Linear Regression: The REG Procedure
- Response Surface Regression: The RSREG Procedure
- Partial Least Squares Regression: The PLS Procedure
- Generalized Linear Regression
- Regression for Ill-Conditioned Data: The ORTHOREG Procedure
- Quantile Regression: The QUANTREG Procedure
- Nonlinear Regression
- Nonparametric Regression
- Robust Regression: The ROBUSTREG Procedure
- Regression with Transformations: The TRANSREG Procedure
- Interactive Features in the CATMOD, GLM, and REG Procedures
- Statistical Background in Linear Regression
- References
- Overview: 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 of Structural Equation Modeling with Latent Variables
- Testing Covariance Patterns
- Regression with Measurement Errors
- Model Identification
- Path Diagrams and Path Analysis
- Some Measurement Models
- The FACTOR and RAM Modeling Languages
- A Combined Measurement-Structural Model
- Fitting LISREL Models by the LISMOD Modeling Language
- Some Important PROC CALIS Features
- Comparison of the CALIS and FACTOR Procedures for Exploratory Factor Analysis
- Comparison of the CALIS and SYSLIN Procedures
- References
- Introduction to Power and Sample Size Analysis
- Overview
- Statistical Background
- Power and Study Planning
- SAS/STAT Tools for Power and Sample Size Analysis
- Basic Graphs (POWER, GLMPOWER, Power and Sample Size Application)
- Highly Customized Graphs (POWER, GLMPOWER)
- Formatted Tables (%POWTABLE Macro)
- Narratives and Graphical User Interface (Power and Sample Size Application)
- Customized Power Formulas (DATA Step)
- Empirical Power Simulation (DATA Step, SAS/STAT Software)
- References
- Shared Concepts
- Using the Output Delivery System
- Overview: Using the Output Delivery System
- Examples: Using the Output Delivery System
- Creating HTML Output with ODS
- Selecting ODS Tables for Display
- Excluding ODS Tables from Display
- Creating an Output Data Set from an ODS Table
- Creating an Output Data Set: Subsetting the Data
- RUN-Group Processing
- ODS Output Data Sets and Using PROC TEMPLATE to Customize Output
- HTML Output with Hyperlinks between Tables
- HTML Output with Graphics and Hyperlinks
- Correlation and Covariance Matrices
- References
- Statistical Graphics Using ODS
- Statistical Graphics Using ODS
- Introduction
- Getting Started with ODS Statistical Graphics
- Default Plots for Simple Linear Regression with PROC REG
- Survival Estimate Plot with PROC LIFETEST
- Contour and Surface Plots with PROC KDE
- Contour Plots with PROC KRIGE2D
- Partial Least Squares Plots with PROC PLS
- Box-Cox Transformation Plot with PROC TRANSREG
- LS-Means Diffogram with PROC GLIMMIX
- Principal Component Analysis Plots with PROC PRINCOMP
- Grouped Scatter Plot with PROC SGPLOT
- A Primer on ODS Statistical Graphics
- Syntax
- Selecting and Viewing Graphs
- Graphics Image Files
- Graph Size and Resolution
- ODS Graphics Editor
- The Default Template Stores and the Template Search Path
- Styles
- Statistical Graphics Procedures
- Examples of ODS Statistical Graphics
- References
- ODS Graphics Template Modification
- Graph Templates
- Examples of ODS Graphics Template Modification
- Customizing Graphs Through Template Changes
- Adding Equations and Special Characters to Fit Plots
- Customizing Survival Plots
- Modifying the Plot Title
- Modifying the Axes
- Creating a Template That is Easy to Modify
- Modifying the Plot Title in the Revised Template
- Modifying the Legend and Inset Table
- Modifying the Layout and Adding a New Inset Table
- Changing Line Styles
- Changing Fonts
- Changing How Censored Data Are Displayed
- Displaying Survival Summary Statistics
- Customizing Panels
- Customizing Axes and Reference Lines
- Adding Text to Every Graph
- PROC TEMPLATE Statement Order and Primary Plots
- References
- Statistical Graphics Using ODS
- Procedures
- The ACECLUS Procedure
- The ANOVA Procedure
- The BOXPLOT Procedure
- The CALIS Procedure
- Overview: CALIS Procedure
- Getting Started: CALIS Procedure
- Syntax: CALIS Procedure
- Classes of Statements in PROC CALIS
- Single-Group Analysis Syntax
- Multiple-Group Multiple-Model Analysis Syntax
- PROC CALIS Statement
- BOUNDS Statement
- BY Statement
- COSAN Statement
- COV Statement
- DETERM Statement
- EFFPART Statement
- FACTOR Statement
- FITINDEX Statement
- FREQ Statement
- GROUP Statement
- LINCON Statement
- LINEQS Statement
- LISMOD Statement
- LMTESTS Statement
- MATRIX Statement
- MEAN Statement
- MODEL Statement
- MSTRUCT Statement
- NLINCON Statement
- NLOPTIONS Statement
- OUTFILES Statement
- PARAMETERS Statement
- PARTIAL Statement
- PATH Statement
- PCOV Statement
- PVAR Statement
- RAM Statement
- REFMODEL Statement
- RENAMEPARM Statement
- SAS Programming Statements
- SIMTESTS Statement
- STD Statement
- STRUCTEQ Statement
- TESTFUNC Statement
- VAR Statement
- VARIANCE Statement
- VARNAMES Statement
- WEIGHT Statement
- Details: CALIS Procedure
- Input Data Sets
- Output Data Sets
- The COSAN Model
- The FACTOR Model
- The LINEQS Model
- The LISMOD Model and Submodels
- The MSTRUCT Model
- The PATH Model
- The RAM Model
- Naming Variables and Parameters
- Setting Constraints on Parameters
- Automatic Variable Selection
- Estimation Criteria
- Relationships among Estimation Criteria
- Gradient, Hessian, Information Matrix, and Approximate Standard Errors
- Counting the Degrees of Freedom
- Assessment of Fit
- Total, Direct, and Indirect Effects
- Standardized Solutions
- Modification Indices
- Missing Values and the Analysis of Missing Patterns
- Measures of Multivariate Kurtosis
- Initial Estimates
- Use of Optimization Techniques
- Computational Problems
- Displayed Output
- ODS Table Names
- ODS Graphics
- Examples: CALIS Procedure
- Estimating Covariances and Correlations
- Estimating Covariances and Means Simultaneously
- Testing Uncorrelatedness of Variables
- Testing Covariance Patterns
- Testing Some Standard Covariance Pattern Hypotheses
- Linear Regression Model
- Multivariate Regression Models
- Measurement Error Models
- Testing Specific Measurement Error Models
- Measurement Error Models with Multiple Predictors
- Measurement Error Models Specified As Linear Equations
- Confirmatory Factor Models
- Confirmatory Factor Models: Some Variations
- The Full Information Maximum Likelihood Method
- Comparing the ML and FIML Estimation
- Path Analysis: Stability of Alienation
- Simultaneous Equations with Mean Structures and Reciprocal Paths
- Fitting Direct Covariance Structures
- Confirmatory Factor Analysis: Cognitive Abilities
- Testing Equality of Two Covariance Matrices Using a Multiple-Group Analysis
- Testing Equality of Covariance and Mean Matrices between Independent Groups
- Illustrating Various General Modeling Languages
- Testing Competing Path Models for the Career Aspiration Data
- Fitting a Latent Growth Curve Model
- Higher-Order and Hierarchical Factor Models
- Linear Relations among Factor Loadings
- Multiple-Group Model for Purchasing Behavior
- Fitting the RAM and EQS Models by the COSAN Modeling Language
- Second-Order Confirmatory Factor Analysis
- Linear Relations among Factor Loadings: COSAN Model Specification
- Ordinal Relations among Factor Loadings
- Longitudinal Factor Analysis
- References
- The CANCORR Procedure
- The CANDISC Procedure
- The CATMOD Procedure
- Overview: CATMOD Procedure
- Getting Started: CATMOD Procedure
- Syntax: CATMOD Procedure
- Details: CATMOD Procedure
- Missing Values
- Input Data Sets
- Ordering of Populations and Responses
- Specification of Effects
- Output Data Sets
- Logistic Analysis
- Log-Linear Model Analysis
- Repeated Measures Analysis
- Generation of the Design Matrix
- Cautions
- Computational Method
- Computational Formulas
- Memory and Time Requirements
- Displayed Output
- ODS Table Names
- Examples: CATMOD Procedure
- Linear Response Function, r=2 Responses
- Mean Score Response Function, r=3 Responses
- Logistic Regression, Standard Response Function
- Log-Linear Model, Three Dependent Variables
- Log-Linear Model, Structural and Sampling Zeros
- Repeated Measures, 2 Response Levels, 3 Populations
- Repeated Measures, 4 Response Levels, 1 Population
- Repeated Measures, Logistic Analysis of Growth Curve
- Repeated Measures, Two Repeated Measurement Factors
- Direct Input of Response Functions and Covariance Matrix
- Predicted Probabilities
- References
- The CLUSTER Procedure
- The CORRESP Procedure
- The DISCRIM Procedure
- The DISTANCE Procedure
- The FACTOR Procedure
- Overview: FACTOR Procedure
- Getting Started: FACTOR Procedure
- Syntax: FACTOR Procedure
- Details: FACTOR Procedure
- Input Data Set
- Output Data Sets
- Confidence Intervals and the Salience of Factor Loadings
- Simplicity Functions for Rotations
- Missing Values
- Cautions
- Factor Scores
- Variable Weights and Variance Explained
- Heywood Cases and Other Anomalies about Communality Estimates
- Time Requirements
- Displayed Output
- ODS Table Names
- ODS Graphics
- Examples: FACTOR Procedure
- References
- The FASTCLUS Procedure
- The FREQ Procedure
- Overview: FREQ Procedure
- Getting Started: FREQ Procedure
- Syntax: FREQ Procedure
- Details: FREQ Procedure
- Inputting Frequency Counts
- Grouping with Formats
- Missing Values
- In-Database Computation
- Statistical Computations
- Definitions and Notation
- Chi-Square Tests and Statistics
- Measures of Association
- Binomial Proportion
- Risks and Risk Differences
- Odds Ratio and Relative Risks for 2 x 2 Tables
- Cochran-Armitage Test for Trend
- Jonckheere-Terpstra Test
- Tests and Measures of Agreement
- Cochran-Mantel-Haenszel Statistics
- Gail-Simon Test for Qualitative Interactions
- Exact Statistics
- Computational Resources
- Output Data Sets
- Displayed Output
- ODS Table Names
- ODS Graphics
- Examples: FREQ Procedure
- References
- The FMM Procedure
- Overview: FMM Procedure
- Getting Started: FMM Procedure
- Syntax: FMM Procedure
- Details: FMM Procedure
- Examples: FMM Procedure
- References
- The GAM Procedure
- Overview: GAM Procedure
- Getting Started: GAM Procedure
- Syntax: GAM Procedure
- Details: GAM Procedure
- Missing Values
- Nonparametric Regression
- Additive Models and Generalized Additive Models
- Forms of Additive Models
- Estimates from PROC GAM
- Backfitting and Local Scoring Algorithms
- Smoothers
- Selection of Smoothing Parameters
- Confidence Intervals for Smoothers
- Distribution Family and Canonical Link
- Dispersion Parameter
- Computational Resources
- ODS Table Names
- ODS Graphics
- Examples: GAM Procedure
- References
- The GENMOD Procedure
- Overview: GENMOD Procedure
- Getting Started: GENMOD Procedure
- Syntax: GENMOD Procedure
- PROC GENMOD Statement
- ASSESS Statement
- BAYES Statement
- BY Statement
- CLASS Statement
- CONTRAST Statement
- DEVIANCE Statement
- EFFECTPLOT Statement
- ESTIMATE Statement
- EXACT Statement
- EXACTOPTIONS Statement
- FREQ Statement
- FWDLINK Statement
- INVLINK Statement
- LSMEANS Statement
- LSMESTIMATE Statement
- MODEL Statement
- OUTPUT Statement
- Programming Statements
- REPEATED Statement
- SLICE Statement
- STORE Statement
- STRATA Statement
- VARIANCE Statement
- WEIGHT Statement
- ZEROMODEL Statement
- Details: GENMOD Procedure
- Generalized Linear Models Theory
- Specification of Effects
- Parameterization Used in PROC GENMOD
- Type 1 Analysis
- Type 3 Analysis
- Confidence Intervals for Parameters
- F Statistics
- Lagrange Multiplier Statistics
- Predicted Values of the Mean
- Residuals
- Multinomial Models
- Zero-Inflated Models
- Generalized Estimating Equations
- Assessment of Models Based on Aggregates of Residuals
- Case Deletion Diagnostic Statistics
- Bayesian Analysis
- Exact Logistic and Exact Poisson Regression
- Missing Values
- Displayed Output for Classical Analysis
- Displayed Output for Bayesian Analysis
- Displayed Output for Exact Analysis
- ODS Table Names
- ODS Graphics
- Examples: GENMOD Procedure
- Logistic Regression
- Normal Regression, Log Link
- Gamma Distribution Applied to Life Data
- Ordinal Model for Multinomial Data
- GEE for Binary Data with Logit Link Function
- Log Odds Ratios and the ALR Algorithm
- Log-Linear Model for Count Data
- Model Assessment of Multiple Regression Using Aggregates of Residuals
- Assessment of a Marginal Model for Dependent Data
- Bayesian Analysis of a Poisson Regression Model
- Exact Poisson Regression
- References
- The GLIMMIX Procedure
- Overview: GLIMMIX Procedure
- Getting Started: GLIMMIX Procedure
- Syntax: GLIMMIX Procedure
- PROC GLIMMIX Statement
- BY Statement
- CLASS Statement
- CONTRAST Statement
- COVTEST Statement
- EFFECT Statement
- ESTIMATE Statement
- FREQ Statement
- ID Statement
- LSMEANS Statement
- LSMESTIMATE Statement
- MODEL Statement
- NLOPTIONS Statement
- OUTPUT Statement
- PARMS Statement
- RANDOM Statement
- SLICE Statement
- STORE Statement
- WEIGHT Statement
- Programming Statements
- User-Defined Link or Variance Function
- Details: GLIMMIX Procedure
- Generalized Linear Models Theory
- Generalized Linear Mixed Models Theory
- GLM Mode or GLMM Mode
- Statistical Inference for Covariance Parameters
- Satterthwaite Degrees of Freedom Approximation
- Empirical Covariance (Sandwich) Estimators
- Exploring and Comparing Covariance Matrices
- Processing by Subjects
- Radial Smoothing Based on Mixed Models
- Odds and Odds Ratio Estimation
- Parameterization of Generalized Linear Mixed Models
- Response-Level Ordering and Referencing
- Comparing the GLIMMIX and MIXED Procedures
- Singly or Doubly Iterative Fitting
- Default Estimation Techniques
- Default Output
- Notes on Output Statistics
- ODS Table Names
- ODS Graphics
- Examples: GLIMMIX Procedure
- Binomial Counts in Randomized Blocks
- Mating Experiment with Crossed Random Effects
- Smoothing Disease Rates; Standardized Mortality Ratios
- Quasi-likelihood Estimation for Proportions with Unknown Distribution
- Joint Modeling of Binary and Count Data
- Radial Smoothing of Repeated Measures Data
- Isotonic Contrasts for Ordered Alternatives
- Adjusted Covariance Matrices of Fixed Effects
- Testing Equality of Covariance and Correlation Matrices
- Multiple Trends Correspond to Multiple Extrema in Profile Likelihoods
- Maximum Likelihood in Proportional Odds Model with Random Effects
- Fitting a Marginal (GEE-Type) Model
- Response Surface Comparisons with Multiplicity Adjustments
- Generalized Poisson Mixed Model for Overdispersed Count Data
- Comparing Multiple B-Splines
- Diallel Experiment with Multimember Random Effects
- Linear Inference Based on Summary Data
- References
- The GLM Procedure
- Overview: GLM Procedure
- Getting Started: GLM Procedure
- Syntax: GLM Procedure
- Details: GLM Procedure
- Statistical Assumptions for Using PROC GLM
- Specification of Effects
- Using PROC GLM Interactively
- Parameterization of PROC GLM Models
- Hypothesis Testing in PROC GLM
- Effect Size Measures for F Tests in GLM
- Absorption
- Specification of ESTIMATE Expressions
- Comparing Groups
- Multivariate Analysis of Variance
- Repeated Measures Analysis of Variance
- Random-Effects Analysis
- Missing Values
- Computational Resources
- Computational Method
- Output Data Sets
- Displayed Output
- ODS Table Names
- ODS Graphics
- Examples: GLM Procedure
- Randomized Complete Blocks with Means Comparisons and Contrasts
- Regression with Mileage Data
- Unbalanced ANOVA for Two-Way Design with Interaction
- Analysis of Covariance
- Three-Way Analysis of Variance with Contrasts
- Multivariate Analysis of Variance
- Repeated Measures Analysis of Variance
- Mixed Model Analysis of Variance with the RANDOM Statement
- Analyzing a Doubly Multivariate Repeated Measures Design
- Testing for Equal Group Variances
- Analysis of a Screening Design
- References
- The GLMMOD Procedure
- The GLMPOWER Procedure
- Overview: GLMPOWER Procedure
- Getting Started: GLMPOWER Procedure
- Syntax: GLMPOWER Procedure
- Details: GLMPOWER Procedure
- Examples: GLMPOWER Procedure
- References
- The GLMSELECT Procedure
- Overview: GLMSELECT Procedure
- Getting Started: GLMSELECT Procedure
- Syntax: GLMSELECT Procedure
- Details: GLMSELECT Procedure
- Model-Selection Methods
- Model Selection Issues
- Criteria Used in Model Selection Methods
- CLASS Variable Parameterization and the SPLIT Option
- Macro Variables Containing Selected Models
- Using the STORE Statement
- Building the SSCP Matrix
- Model Averaging
- Using Validation and Test Data
- Cross Validation
- Displayed Output
- ODS Table Names
- ODS Graphics
- Examples: GLMSELECT Procedure
- References
- The HPMIXED Procedure
- The INBREED Procedure
- The KDE Procedure
- The KRIGE2D Procedure
- Overview: KRIGE2D Procedure
- Getting Started: KRIGE2D Procedure
- Syntax: KRIGE2D Procedure
- Details: KRIGE2D Procedure
- Examples: KRIGE2D Procedure
- References
- The LATTICE Procedure
- The LIFEREG Procedure
- Overview: LIFEREG Procedure
- Getting Started: LIFEREG Procedure
- Syntax: LIFEREG Procedure
- Details: LIFEREG Procedure
- Missing Values
- Model Specification
- Computational Method
- Supported Distributions
- Predicted Values
- Confidence Intervals
- Fit Statistics
- Probability Plotting
- INEST= Data Set
- OUTEST= Data Set
- XDATA= Data Set
- Computational Resources
- Bayesian Analysis
- Displayed Output for Classical Analysis
- Displayed Output for Bayesian Analysis
- ODS Table Names
- ODS Graphics
- Examples: LIFEREG Procedure
- Motorette Failure
- Computing Predicted Values for a Tobit Model
- Overcoming Convergence Problems by Specifying Initial Values
- Analysis of Arbitrarily Censored Data with Interaction Effects
- Probability Plotting—Right Censoring
- Probability Plotting—Arbitrary Censoring
- Bayesian Analysis of Clinical Trial Data
- References
- The LIFETEST Procedure
- The LOESS Procedure
- Overview: LOESS Procedure
- Getting Started: LOESS Procedure
- Syntax: LOESS Procedure
- Details: LOESS Procedure
- Missing Values
- Output Data Sets
- Data Scaling
- Direct versus Interpolated Fitting
- kd Trees and Blending
- Local Weighting
- Iterative Reweighting
- Specifying the Local Polynomials
- Smoothing Matrix
- Model Degrees of Freedom
- Statistical Inference and Lookup Degrees of Freedom
- Automatic Smoothing Parameter Selection
- Sparse and Approximate Degrees of Freedom Computation
- Scoring Data Sets
- ODS Table Names
- ODS Graphics
- Examples: LOESS Procedure
- References
- The LOGISTIC Procedure
- Overview: LOGISTIC Procedure
- Getting Started: LOGISTIC Procedure
- Syntax: LOGISTIC Procedure
- PROC LOGISTIC Statement
- BY Statement
- CLASS Statement
- CONTRAST Statement
- EFFECT Statement
- EFFECTPLOT Statement
- ESTIMATE Statement
- EXACT Statement
- EXACTOPTIONS Statement
- FREQ Statement
- LSMEANS Statement
- LSMESTIMATE Statement
- MODEL Statement
- ODDSRATIO Statement
- OUTPUT Statement
- ROC Statement
- ROCCONTRAST Statement
- SCORE Statement
- SLICE Statement
- STORE Statement
- STRATA Statement
- TEST Statement
- UNITS Statement
- WEIGHT Statement
- Details: LOGISTIC Procedure
- Missing Values
- Response Level Ordering
- Link Functions and the Corresponding Distributions
- Determining Observations for Likelihood Contributions
- Iterative Algorithms for Model Fitting
- Convergence Criteria
- Existence of Maximum Likelihood Estimates
- Effect-Selection Methods
- Model Fitting Information
- Generalized Coefficient of Determination
- Score Statistics and Tests
- Confidence Intervals for Parameters
- Odds Ratio Estimation
- Rank Correlation of Observed Responses and Predicted Probabilities
- Linear Predictor, Predicted Probability, and Confidence Limits
- Classification Table
- Overdispersion
- The Hosmer-Lemeshow Goodness-of-Fit Test
- Receiver Operating Characteristic Curves
- Testing Linear Hypotheses about the Regression Coefficients
- Regression Diagnostics
- Scoring Data Sets
- Conditional Logistic Regression
- Exact Conditional Logistic Regression
- Input and Output Data Sets
- Computational Resources
- Displayed Output
- ODS Table Names
- ODS Graphics
- Examples: LOGISTIC Procedure
- Stepwise Logistic Regression and Predicted Values
- Logistic Modeling with Categorical Predictors
- Ordinal Logistic Regression
- Nominal Response Data: Generalized Logits Model
- Stratified Sampling
- Logistic Regression Diagnostics
- ROC Curve, Customized Odds Ratios, Goodness-of-Fit Statistics, R-Square, and Confidence Limits
- Comparing Receiver Operating Characteristic Curves
- Goodness-of-Fit Tests and Subpopulations
- Overdispersion
- Conditional Logistic Regression for Matched Pairs Data
- Firth's Penalized Likelihood Compared with Other Approaches
- Complementary Log-Log Model for Infection Rates
- Complementary Log-Log Model for Interval-Censored Survival Times
- Scoring Data Sets
- Using the LSMEANS Statement
- References
- The MCMC Procedure
- Overview: MCMC Procedure
- Getting Started: MCMC Procedure
- Syntax: MCMC Procedure
- Details: MCMC Procedure
- How PROC MCMC Works
- Blocking of Parameters
- Sampling Methods
- Tuning the Proposal Distribution
- Conjugate Sampling
- Initial Values of the Markov Chains
- Assignments of Parameters
- Standard Distributions
- Usage of Multivariate Distributions
- Specifying a New Distribution
- Using Density Functions in the Programming Statements
- Truncation and Censoring
- Some Useful SAS Functions
- Matrix Functions in PROC MCMC
- Create Design Matrix
- Modeling Joint Likelihood
- Regenerating Diagnostics Plots
- Caterpillar Plot
- Posterior Predictive Distribution
- Handling of Missing Data
- Floating Point Errors and Overflows
- Handling Error Messages
- Computational Resources
- Displayed Output
- ODS Table Names
- ODS Graphics
- Examples: MCMC Procedure
- Simulating Samples From a Known Density
- Box-Cox Transformation
- Logistic Regression Model with a Diffuse Prior
- Logistic Regression Model with Jeffreys' Prior
- Poisson Regression
- Nonlinear Poisson Regression Models
- Logistic Regression Random-Effects Model
- Nonlinear Poisson Regression Random-Effects Model
- Multivariate Normal Random-Effects Model
- Change Point Models
- Exponential and Weibull Survival Analysis
- Time Independent Cox Model
- Time Dependent Cox Model
- Piecewise Exponential Frailty Model
- Normal Regression with Interval Censoring
- Constrained Analysis
- Implement a New Sampling Algorithm
- Using a Transformation to Improve Mixing
- Gelman-Rubin Diagnostics
- References
- The MDS Procedure
- The MI Procedure
- Overview: MI Procedure
- Getting Started: MI Procedure
- Syntax: MI Procedure
- Details: MI Procedure
- Descriptive Statistics
- EM Algorithm for Data with Missing Values
- Statistical Assumptions for Multiple Imputation
- Missing Data Patterns
- Imputation Methods
- Monotone Methods for Data Sets with Monotone Missing Patterns
- Monotone and FCS Regression Methods
- Monotone and FCS Predictive Mean Matching Methods
- Monotone Propensity Score Method
- Monotone and FCS Discriminant Function Methods
- Monotone and FCS Logistic Regression Methods
- FCS Methods for Data Sets with Arbitrary Missing Patterns
- Checking Convergence in FCS Methods
- MCMC Method for Arbitrary Missing Multivariate Normal Data
- Producing Monotone Missingness with the MCMC Method
- MCMC Method Specifications
- Checking Convergence in MCMC
- Input Data Sets
- Output Data Sets
- Combining Inferences from Multiply Imputed Data Sets
- Multiple Imputation Efficiency
- Imputer's Model Versus Analyst's Model
- Parameter Simulation versus Multiple Imputation
- Summary of Issues in Multiple Imputation
- ODS Table Names
- ODS Graphics
- Examples: MI Procedure
- EM Algorithm for MLE
- Monotone Propensity Score Method
- Monotone Regression Method
- Monotone Logistic Regression Method for CLASS Variables
- Monotone Discriminant Function Method for CLASS Variables
- FCS Method for Continuous Variables
- FCS Method for CLASS Variables
- FCS Method with Trace Plot
- MCMC Method
- Producing Monotone Missingness with MCMC
- Checking Convergence in MCMC
- Saving and Using Parameters for MCMC
- Transforming to Normality
- Multistage Imputation
- References
- The MIANALYZE Procedure
- Overview: MIANALYZE Procedure
- Getting Started: MIANALYZE Procedure
- Syntax: MIANALYZE Procedure
- Details: MIANALYZE Procedure
- Examples: MIANALYZE Procedure
- Reading Means and Standard Errors from Variables in a DATA= Data Set
- Reading Means and Covariance Matrices from a DATA= COV Data Set
- Reading Regression Results from a DATA= EST Data Set
- Reading Mixed Model Results from PARMS= and COVB= Data Sets
- Reading Generalized Linear Model Results
- Reading GLM Results from PARMS= and XPXI= Data Sets
- Reading Logistic Model Results from PARMS= and COVB= Data Sets
- Reading Mixed Model Results with Classification Variables
- Using a TEST statement
- Combining Correlation Coefficients
- References
- The MIXED Procedure
- The MODECLUS Procedure
- The MULTTEST Procedure
- The NESTED Procedure
- The NLIN Procedure
- Overview: NLIN Procedure
- Getting Started: NLIN Procedure
- Syntax: NLIN Procedure
- Details: NLIN Procedure
- Automatic Derivatives
- Measures of Nonlinearity and Diagnostics
- Missing Values
- Special Variables
- Troubleshooting
- Computational Methods
- Output Data Sets
- Confidence Intervals
- Covariance Matrix of Parameter Estimates
- Convergence Measures
- Displayed Output
- Incompatibilities with SAS 6.11 and Earlier Versions of PROC NLIN
- ODS Table Names
- ODS Graphics
- Examples: NLIN Procedure
- References
- The NLMIXED Procedure
- Overview: NLMIXED Procedure
- Getting Started: NLMIXED Procedure
- Syntax: NLMIXED Procedure
- Details: NLMIXED Procedure
- Modeling Assumptions and Notation
- Integral Approximations
- Built-in Log-Likelihood Functions
- Optimization Algorithms
- Finite-Difference Approximations of Derivatives
- Hessian Scaling
- Active Set Methods
- Line-Search Methods
- Restricting the Step Length
- Computational Problems
- Covariance Matrix
- Prediction
- Computational Resources
- Displayed Output
- ODS Table Names
- Examples: NLMIXED Procedure
- References
- The NPAR1WAY Procedure
- The ORTHOREG Procedure
- The PHREG Procedure
- Overview: PHREG Procedure
- Getting Started: PHREG Procedure
- Syntax: PHREG Procedure
- PROC PHREG Statement
- ASSESS Statement
- BASELINE Statement
- BAYES Statement
- BY Statement
- CLASS Statement
- CONTRAST Statement
- EFFECT Statement
- ESTIMATE Statement
- FREQ Statement
- HAZARDRATIO Statement
- ID Statement
- LSMEANS Statement
- LSMESTIMATE Statement
- MODEL Statement
- OUTPUT Statement
- Programming Statements
- RANDOM Statement
- STRATA Statement
- SLICE Statement
- STORE Statement
- TEST Statement
- WEIGHT Statement
- Details: PHREG Procedure
- Failure Time Distribution
- Time and CLASS Variables Usage
- Partial Likelihood Function for the Cox Model
- Counting Process Style of Input
- Left-Truncation of Failure Times
- The Multiplicative Hazards Model
- The Frailty Model
- Hazard Ratios
- Specifics for Classical Analysis
- Specifics for Bayesian Analysis
- Computational Resources
- Input and Output Data Sets
- Displayed Output
- ODS Table Names
- ODS Graphics
- Examples: PHREG Procedure
- Stepwise Regression
- Best Subset Selection
- Modeling with Categorical Predictors
- Firth's Correction for Monotone Likelihood
- Conditional Logistic Regression for m:n Matching
- Model Using Time-Dependent Explanatory Variables
- Time-Dependent Repeated Measurements of a Covariate
- Survivor Function Estimates for Specific Covariate Values
- Analysis of Residuals
- Analysis of Recurrent Events Data
- Analysis of Clustered Data
- Model Assessment Using Cumulative Sums of Martingale Residuals
- Bayesian Analysis of the Cox Model
- Bayesian Analysis of Piecewise Exponential Model
- References
- The PLAN Procedure
- The PLM Procedure
- The PLS Procedure
- The POWER Procedure
- Overview: POWER Procedure
- Getting Started: POWER Procedure
- Syntax: POWER Procedure
- PROC POWER Statement
- LOGISTIC Statement
- MULTREG Statement
- ONECORR Statement
- ONESAMPLEFREQ Statement
- ONESAMPLEMEANS Statement
- ONEWAYANOVA Statement
- PAIREDFREQ Statement
- PAIREDMEANS Statement
- PLOT Statement
- TWOSAMPLEFREQ Statement
- TWOSAMPLEMEANS Statement
- TWOSAMPLESURVIVAL Statement
- TWOSAMPLEWILCOXON Statement
- Details: POWER Procedure
- Overview of Power Concepts
- Summary of Analyses
- Specifying Value Lists in Analysis Statements
- Sample Size Adjustment Options
- Error and Information Output
- Displayed Output
- ODS Table Names
- Computational Resources
- Computational Methods and Formulas
- Common Notation
- Analyses in the LOGISTIC Statement
- Analyses in the MULTREG Statement
- Analyses in the ONECORR Statement
- Analyses in the ONESAMPLEFREQ Statement
- Analyses in the ONESAMPLEMEANS Statement
- Analyses in the ONEWAYANOVA Statement
- Analyses in the PAIREDFREQ Statement
- Analyses in the PAIREDMEANS Statement
- Analyses in the TWOSAMPLEFREQ Statement
- Analyses in the TWOSAMPLEMEANS Statement
- Analyses in the TWOSAMPLESURVIVAL Statement
- Analyses in the TWOSAMPLEWILCOXON Statement
- ODS Graphics
- ODS Styles Suitable for Use with PROC POWER
- Examples: POWER Procedure
- One-Way ANOVA
- The Sawtooth Power Function in Proportion Analyses
- Simple AB/BA Crossover Designs
- Noninferiority Test with Lognormal Data
- Multiple Regression and Correlation
- Comparing Two Survival Curves
- Confidence Interval Precision
- Customizing Plots
- Binary Logistic Regression with Independent Predictors
- Wilcoxon-Mann-Whitney Test
- References
- The Power and Sample Size Application
- The PRINCOMP Procedure
- The PRINQUAL Procedure
- Overview: PRINQUAL Procedure
- Getting Started: PRINQUAL Procedure
- Syntax: PRINQUAL Procedure
- Details: PRINQUAL Procedure
- The Three Methods of Variable Transformation
- Understanding How PROC PRINQUAL Works
- Splines
- Missing Values
- Controlling the Number of Iterations
- Performing a Principal Component Analysis of Transformed Data
- Using the MAC Method
- Output Data Set
- Avoiding Constant Transformations
- Constant Variables
- Character OPSCORE Variables
- REITERATE Option Usage
- Passive Observations
- Computational Resources
- Displayed Output
- ODS Table Names
- ODS Graphics
- Examples: PRINQUAL Procedure
- References
- The PROBIT Procedure
- Overview: PROBIT Procedure
- Getting Started: PROBIT Procedure
- Syntax: PROBIT Procedure
- Details: PROBIT Procedure
- Missing Values
- Response Level Ordering
- Computational Method
- Distributions
- INEST= SAS-data-set
- Model Specification
- Lack-of-Fit Tests
- Rescaling the Covariance Matrix
- Tolerance Distribution
- Inverse Confidence Limits
- OUTEST= SAS-data-set
- XDATA= SAS-data-set
- Traditional High-Resolution Graphics
- Displayed Output
- ODS Table Names
- ODS Graphics
- Examples: PROBIT Procedure
- References
- The QUANTREG Procedure
- The REG Procedure
- Overview: REG Procedure
- Getting Started: REG Procedure
- Syntax: REG Procedure
- Details: REG Procedure
- Missing Values
- Input Data Sets
- Output Data Sets
- Interactive Analysis
- Model-Selection Methods
- Criteria Used in Model-Selection Methods
- Limitations in Model-Selection Methods
- Parameter Estimates and Associated Statistics
- Predicted and Residual Values
- Models of Less Than Full Rank
- Collinearity Diagnostics
- Model Fit and Diagnostic Statistics
- Influence Statistics
- Reweighting Observations in an Analysis
- Testing for Heteroscedasticity
- Testing for Lack of Fit
- Multivariate Tests
- Autocorrelation in Time Series Data
- Computations for Ridge Regression and IPC Analysis
- Construction of Q-Q and P-P Plots
- Computational Methods
- Computer Resources in Regression Analysis
- Displayed Output
- ODS Table Names
- ODS Graphics
- Examples: REG Procedure
- References
- The ROBUSTREG Procedure
- The RSREG Procedure
- The SCORE Procedure
- The SEQDESIGN Procedure
- Overview: SEQDESIGN Procedure
- Getting Started: SEQDESIGN Procedure
- Syntax: SEQDESIGN Procedure
- Details: SEQDESIGN Procedure
- Fixed-Sample Clinical Trials
- One-Sided Fixed-Sample Tests in Clinical Trials
- Two-Sided Fixed-Sample Tests in Clinical Trials
- Group Sequential Methods
- Statistical Assumptions for Group Sequential Designs
- Boundary Scales
- Boundary Variables
- Type I and Type II Errors
- Unified Family Methods
- Haybittle-Peto Method
- Whitehead Methods
- Error Spending Methods
- Acceptance (beta) Boundary
- Boundary Adjustments for Overlapping Lower and Upper beta Boundaries
- Specified and Derived Parameters
- Applicable Boundary Keys
- Sample Size Computation
- Applicable One-Sample Tests and Sample Size Computation
- Applicable Two-Sample Tests and Sample Size Computation
- Applicable Regression Parameter Tests and Sample Size Computation
- Aspects of Group Sequential Designs
- Summary of Methods in Group Sequential Designs
- Table Output
- ODS Table Names
- Graphics Output
- ODS Graphics
- Acknowledgments
- Examples: SEQDESIGN Procedure
- Creating Fixed-Sample Designs
- Creating a One-Sided O'Brien-Fleming Design
- Creating Two-Sided Pocock and O'Brien-Fleming Designs
- Generating Graphics Display for Sequential Designs
- Creating Designs Using Haybittle-Peto Methods
- Creating Designs with Various Stopping Criteria
- Creating Whitehead's Triangular Designs
- Creating a One-Sided Error Spending Design
- Creating Designs with Various Number of Stages
- Creating Two-Sided Error Spending Designs with and without Overlapping Lower and Upper beta Boundaries
- Creating a Two-Sided Asymmetric Error Spending Design with Early Stopping to Reject H0
- Creating a Two-Sided Asymmetric Error Spending Design with Early Stopping to Reject or Accept H0
- References
- The SEQTEST Procedure
- Overview: SEQTEST Procedure
- Getting Started: SEQTEST Procedure
- Syntax: SEQTEST Procedure
- Details: SEQTEST Procedure
- Input Data Sets
- Boundary Variables
- Information Level Adjustments at Future Stages
- Boundary Adjustments for Information Levels
- Boundary Adjustments for Minimum Error Spending
- Boundary Adjustments for Overlapping Lower and Upper beta Boundaries
- Stochastic Curtailment
- Repeated Confidence Intervals
- Analysis after a Sequential Test
- Available Sample Space Orderings in a Sequential Test
- Applicable Tests and Sample Size Computation
- Table Output
- ODS Table Names
- Graphics Output
- ODS Graphics
- Acknowledgments
- Examples: SEQTEST Procedure
- Testing the Difference between Two Proportions
- Testing an Effect in a Regression Model
- Testing an Effect with Early Stopping to Accept H0
- Testing a Binomial Proportion
- Comparing Two Proportions with a Log Odds Ratio Test
- Comparing Two Survival Distributions with a Log-Rank Test
- Testing an Effect in a Proportional Hazards Regression Model
- Testing an Effect in a Logistic Regression Model
- References
- The SIM2D Procedure
- The SIMNORMAL Procedure
- The STDIZE Procedure
- The STEPDISC Procedure
- The SURVEYFREQ Procedure
- Overview: SURVEYFREQ Procedure
- Getting Started: SURVEYFREQ Procedure
- Syntax: SURVEYFREQ Procedure
- Details: SURVEYFREQ Procedure
- Specifying the Sample Design
- Domain Analysis
- Missing Values
- Statistical Computations
- Variance Estimation
- Definitions and Notation
- Totals
- Covariance of Totals
- Proportions
- Row and Column Proportions
- Balanced Repeated Replication (BRR)
- The Jackknife Method
- Confidence Limits for Totals
- Confidence Limits for Proportions
- Degrees of Freedom
- Coefficient of Variation
- Design Effect
- Expected Weighted Frequency
- Risks and Risk Difference
- Odds Ratio and Relative Risks
- Rao-Scott Chi-Square Test
- Rao-Scott Likelihood Ratio Chi-Square Test
- Wald Chi-Square Test
- Wald Log-Linear Chi-Square Test
- Output Data Sets
- Displayed Output
- ODS Table Names
- ODS Graphics
- Examples: SURVEYFREQ Procedure
- References
- The SURVEYLOGISTIC Procedure
- Overview: SURVEYLOGISTIC Procedure
- Getting Started: SURVEYLOGISTIC Procedure
- Syntax: SURVEYLOGISTIC Procedure
- PROC SURVEYLOGISTIC Statement
- BY Statement
- CLASS Statement
- CLUSTER Statement
- CONTRAST Statement
- DOMAIN Statement
- EFFECT Statement
- ESTIMATE Statement
- FREQ Statement
- LSMEANS Statement
- LSMESTIMATE Statement
- MODEL Statement
- OUTPUT Statement
- REPWEIGHTS Statement
- SLICE Statement
- STORE Statement
- STRATA Statement
- TEST Statement
- UNITS Statement
- WEIGHT Statement
- Details: SURVEYLOGISTIC Procedure
- Missing Values
- Model Specification
- Model Fitting
- Survey Design Information
- Logistic Regression Models and Parameters
- Variance Estimation
- Domain Analysis
- Hypothesis Testing and Estimation
- Linear Predictor, Predicted Probability, and Confidence Limits
- Output Data Sets
- Displayed Output
- Model Information
- Variance Estimation
- Data Summary
- Response Profile
- Class Level Information
- Stratum Information
- Maximum Likelihood Iteration History
- Score Test
- Model Fit Statistics
- Type III Analysis of Effects
- Analysis of Maximum Likelihood Estimates
- Odds Ratio Estimates
- Association of Predicted Probabilities and Observed Responses
- Wald Confidence Interval for Parameters
- Wald Confidence Interval for Odds Ratios
- Estimated Covariance Matrix
- Linear Hypotheses Testing Results
- Hadamard Matrix
- ODS Table Names
- ODS Graphics
- Examples: SURVEYLOGISTIC Procedure
- References
- The SURVEYMEANS Procedure
- Overview: SURVEYMEANSProcedure
- Getting Started: SURVEYMEANS Procedure
- Syntax: SURVEYMEANS Procedure
- Details: SURVEYMEANS Procedure
- Examples: SURVEYMEANS Procedure
- References
- The SURVEYPHREG Procedure
- Overview: SURVEYPHREG Procedure
- Getting Started: SURVEYPHREG Procedure
- Syntax: SURVEYPHREG Procedure
- PROC SURVEYPHREG Statement
- BY Statement
- CLASS Statement
- CLUSTER Statement
- DOMAIN Statement
- ESTIMATE Statement
- FREQ Statement
- LSMEANS Statement
- LSMESTIMATE Statement
- MODEL Statement
- NLOPTIONS Statement
- OUTPUT Statement
- Programming Statements
- REPWEIGHTS Statement
- SLICE Statement
- STORE Statement
- STRATA Statement
- TEST Statement
- WEIGHT Statement
- Details: SURVEYPHREG Procedure
- Notation and Estimation
- Failure Time Distribution
- Time and CLASS Variables Usage
- Partial Likelihood Function for the Cox Model
- Specifying the Sample Design
- Missing Values
- Variance Estimation
- Domain Analysis
- Hypothesis Tests, Confidence Intervals, and Residuals
- Output Data Sets
- Displayed Output
- ODS Table Names
- ODS Graphics
- Examples: SURVEYPHREG Procedure
- References
- The SURVEYREG Procedure
- Overview: SURVEYREG Procedure
- Getting Started: SURVEYREG Procedure
- Syntax: SURVEYREG Procedure
- PROC SURVEYREG Statement
- BY Statement
- CLASS Statement
- CLUSTER Statement
- CONTRAST Statement
- DOMAIN Statement
- EFFECT Statement
- ESTIMATE Statement
- LSMEANS Statement
- LSMESTIMATE Statement
- MODEL Statement
- OUTPUT Statement
- REPWEIGHTS Statement
- SLICE Statement
- STORE Statement
- STRATA Statement
- TEST Statement
- WEIGHT Statement
- Details: SURVEYREG Procedure
- Missing Values
- Survey Design Information
- Computational Details
- Variance Estimation
- Testing
- Domain Analysis
- Computational Resources
- Output Data Sets
- Displayed Output
- Data Summary
- Design Summary
- Domain Summary
- Fit Statistics
- Variance Estimation
- Stratum Information
- Class Level Information
- X'X Matrix
- Inverse Matrix of X'X
- ANOVA for Dependent Variable
- Tests of Model Effects
- Estimated Regression Coefficients
- Covariance of Estimated Regression Coefficients
- Coefficients of Contrast
- Analysis of Contrasts
- Hadamard Matrix
- ODS Table Names
- ODS Graphics
- Examples: SURVEYREG Procedure
- References
- The SURVEYSELECT Procedure
- Overview: SURVEYSELECT Procedure
- Getting Started: SURVEYSELECT Procedure
- Syntax: SURVEYSELECT Procedure
- Details: SURVEYSELECT Procedure
- Examples: SURVEYSELECT Procedure
- References
- The TPSPLINE Procedure
- The TRANSREG Procedure
- Overview: TRANSREG Procedure
- Getting Started: TRANSREG Procedure
- Syntax: TRANSREG Procedure
- Details: TRANSREG Procedure
- Model Statement Usage
- Box-Cox Transformations
- Using Splines and Knots
- Scoring Spline Variables
- Linear and Nonlinear Regression Functions
- Simultaneously Fitting Two Regression Functions
- Penalized B-Splines
- Smoothing Splines
- Smoothing Splines Changes and Enhancements
- Iteration History Changes and Enhancements
- ANOVA Codings
- Missing Values
- Missing Values, UNTIE, and Hypothesis Tests
- Controlling the Number of Iterations
- Using the REITERATE Algorithm Option
- Avoiding Constant Transformations
- Constant Variables
- Character OPSCORE Variables
- Convergence and Degeneracies
- Implicit and Explicit Intercepts
- Passive Observations
- Point Models
- Redundancy Analysis
- Optimal Scaling
- OPSCORE, MONOTONE, UNTIE, and LINEAR Transformations
- SPLINE and MSPLINE Transformations
- Specifying the Number of Knots
- SPLINE, BSPLINE, and PSPLINE Comparisons
- Hypothesis Tests
- Output Data Set
- OUTTEST= Output Data Set
- Computational Resources
- Unbalanced ANOVA without CLASS Variables
- Hypothesis Tests for Simple Univariate Models
- Hypothesis Tests with Monotonicity Constraints
- Hypothesis Tests with Dependent Variable Transformations
- Hypothesis Tests with One-Way ANOVA
- Using the DESIGN Output Option
- Discrete Choice Experiments: DESIGN, NORESTORE, NOZERO
- Centering
- Displayed Output
- ODS Table Names
- ODS Graphics
- Examples: TRANSREG Procedure
- References
- The TREE Procedure
- The TTEST Procedure
- The VARCLUS Procedure
- The VARCOMP Procedure
- The VARIOGRAM Procedure
- Overview: VARIOGRAM Procedure
- Getting Started: VARIOGRAM Procedure
- Syntax: VARIOGRAM Procedure
- Details: VARIOGRAM Procedure
- Examples: VARIOGRAM Procedure
- References
- Special SAS Data Sets
- Introduction to Special SAS Data Sets
- Special SAS Data Sets
- TYPE=ACE Data Sets
- TYPE=BOXPLOT Data Sets
- TYPE=CALISFIT Data Sets
- TYPE=CALISMDL Data Sets
- TYPE=CHARTSUM Data Sets
- TYPE=CORR Data Sets
- TYPE=COV Data Sets
- TYPE=CSSCP Data Sets
- TYPE=DISTANCE Data Sets
- TYPE=EST Data Sets
- TYPE=FACTOR Data Sets
- TYPE=LINEAR Data Sets
- TYPE=LOGISMOD Data Sets
- TYPE=MIXED Data Sets
- TYPE=QUAD Data Sets
- TYPE=SSCP Data Sets
- TYPE=TREE Data Sets
- TYPE=UCORR Data Sets
- TYPE=UCOV Data Sets
- TYPE=WEIGHT Data Sets
- Definitional Formulas
- Sashelp Data Sets
SAS/GRAPH 9.3
- SAS/GRAPH Reference
- Title Page
- What's New in SAS/GRAPH 9.3
- Accessibility Features in SAS/GRAPH
- About This Book
- SAS/GRAPH Concepts
- Introduction to SAS/GRAPH
- Elements of a SAS/GRAPH Program
- Getting Started With SAS/GRAPH
- SAS/GRAPH Processing
- The Graphics Output Environment
- Using Graphics Devices
- Overview: Using Graphics Devices
- What Is a SAS/GRAPH Device?
- Commonly Used Devices
- Default Devices for ODS Destinations
- Viewing the List of All Available Devices
- Displaying Information with the QDEVICE Procedure
- Deciding Which Device to Use
- Overriding the Default Device
- Device Categories and Modifying Default Output Attributes
- Using Universal Printer Shortcut Devices
- Viewing and Modifying Device Entries
- Creating a Custom Device
- Compatibility Device Drivers (Z Drivers)
- Additional Considerations for Devices
- Related Topics
- Using Scalable Vector Graphics
- Introduction to Scalable Vector Graphics
- Advantages of SVG Graphics
- Universal Printers versus SAS/GRAPH Devices
- The SVG Devices and the Output That They Create
- Example: Creating an SVG File
- Example: Placing Images behind SVG Files
- Example: Generating a Single SVG File with Multiple Pages and Page Controls
- Animating Output with the SVGANIM Printer
- Implementing Data Tips and Drill-Down Links with the SVG Devices
- Web Server Content Type for SVG Files
- Browsers That Support SVG Files
- Controlling Graph Resolution with The SVG Devices
- Controlling Graph Size with the SVG Devices
- SAS System Options and SVG Output
- Managing Your Graphics With ODS
- SAS/GRAPH Output
- Overview of SAS/GRAPH Output
- Specifying the Graphics Output File Type for Your Graph
- The SAS/GRAPH Output Process
- Setting the Size of Your Graph
- Setting the Resolution of Your Graph
- Controlling Where Your Output Is Stored
- Replacing an Existing Graphics Output File Using the GSFMODE= Graphics Option
- Storing Multiple Graphs in a Single Graphics Output File
- Replaying Your SAS/GRAPH Output
- Previewing Output
- Printing Your Graph
- Exporting Your Output
- Exporting Your Graphs to Microsoft Office Products
- Writing Your Graphs to a PDF File
- Overview of Writing Graphs to a PDF File
- Specifying Fonts
- Creating an Archivable PDF File
- Changing the Page Layout
- Adding Metadata to Your PDF File
- Adding Bookmarks for Your Graphs
- Adding Drill-Down Graphs in Your PDF File
- Changing the Default Compression Level for Your PDF File
- Examples: Writing Graphs to a PDF File
- Controlling the Appearance of Your Output
- Using ODS Styles, Device Parameters, and Options
- Overview
- Style Attributes Versus Device Entry Parameters
- About Style Templates
- Specifying a Style
- Overriding Style Attributes with SAS/GRAPH Statement Options
- Precedence of Appearance Option Specifications
- Additional Considerations with ODS Styles
- Viewing the List of Styles Provided by SAS
- Modifying a Style
- Graphical Style Element Reference for Device-Based Graphics
- Turning Off Styles
- Changing the Appearance of Output to Match That of Earlier SAS Releases
- Related Topics
- Specifying Fonts in SAS/GRAPH Programs
- Using Colors in SAS/GRAPH Programs
- Adding Images To SAS/GRAPH Output
- Introduction
- Image File Types Supported by SAS/GRAPH
- Displaying an Image in a Graph Background
- Displaying an Image in Graph Frame
- Displaying Images on Data Elements
- Displaying Images Using Annotate
- Displaying Images Using DSGI
- Displaying Pop-Up Images Using the SVG Graphics Devices
- Disabling and Enabling Image Output
- Using ODS Styles, Device Parameters, and Options
- Statements And Options Used by SAS/GRAPH
- SAS/GRAPH Statements
- Overview of Global Statements
- Specifying Units of Measurement
- AXIS Statement
- BY Statement
- FOOTNOTE Statement
- GOPTIONS Statement
- LEGEND Statement
- NOTE Statement
- ODS HTML Statement
- PATTERN Statement
- SYMBOL Statement
- TITLE, FOOTNOTE, and NOTE Statements
- Examples
- Example 1: Ordering Axis Tick Marks with SAS Date Values
- Example 2: Specifying Logarithmic Axes
- Example 3: Rotating Plot Symbols through the Color List
- Example 4: Creating and Modifying Box Plots
- Example 5: Filling the Area between Plot Lines
- Example 6: Enhancing Titles
- Example 7: Using BY-group Processing to Generate a Series of Charts
- Example 8: Creating a Simple Web Page with the ODS HTML Statement
- Example 9: Combining Graphs and Reports in a Web Page
- Example 10: Creating a Web Page with Drill-Down Functionality Using the ODS HTML Statement
- Graphics Options and Device Parameters Dictionary
- Introduction to Graphics Options and Device Parameters
- Specifying Graphics Options and Device Parameters
- Options Used in Both GOPTIONS and OPTIONS Statements
- ACCESSIBLE
- ADMGDF
- ALTDESC
- ASPECT
- AUTOCOPY
- AUTOFEED
- AUTOSIZE
- BINDING
- BORDER
- CBACK
- CBY
- CELL
- CHARACTERS
- CHARREC
- CHARTYPE
- CIRCLEARC
- CMAP
- COLLATE
- COLORS
- COLORTBL
- COLORTYPE
- COLS
- CPATTERN
- CSYMBOL
- CTEXT
- CTITLE
- DASH
- DASHLINE
- DASHSCALE
- DELAY
- DESCRIPTION
- DEVADDR
- DEVICE
- DEVMAP
- DEVOPTS
- DEVTYPE
- DISPLAY
- DISPOSAL
- DRVINIT
- DRVQRY
- DRVTERM
- DUPLEX
- ERASE
- EXTENSION
- FASTTEXT
- FBY
- FCACHE
- FILECLOSE
- FILEONLY
- FILL
- FILLINC
- FONT NAME
- FONTRES
- FORMAT
- FTEXT
- FTITLE
- FTRACK
- GACCESS
- GCLASS
- GCOPIES
- GDDMCOPY
- GDDMNICKNAME
- GDDMTOKEN
- GDEST
- GEND
- GEPILOG
- GFORMS
- GOUTMODE
- GPROLOG
- GPROTOCOL
- GRAPHRC
- GSFLEN
- GSFMODE
- GSFNAME
- GSFPROMPT
- GSIZE
- GSTART
- GUNIT
- GWAIT
- GWRITER
- HANDSHAKE
- HBY
- HEADER
- HEADERFILE
- HORIGIN
- HOSTSPEC
- HPOS
- HSIZE
- HTEXT
- HTITLE
- IBACK
- ID
- IMAGEPRINT
- IMAGESTYLE
- INTERACTIVE
- INTERLACED
- INTERPOL
- ITERATION
- KEYMAP
- LCOLS
- LFACTOR
- LROWS
- MAXCOLORS
- MAXPOLY
- MODEL
- MODULE
- NAK
- OFFSHADOW
- PAPERDEST
- PAPERFEED
- PAPERLIMIT
- PAPERSIZE
- PAPERSOURCE
- PAPERTYPE
- PATH
- PCLIP
- PCOLS
- PENMOUNTS
- PENSORT
- PIEFILL
- POLYGONCLIP
- POLYGONFILL
- POSTGEPILOG
- POSTGPROLOG
- POSTGRAPH
- PPDFILE
- PREGEPILOG
- PREGPROLOG
- PREGRAPH
- PROCESS
- PROCESSINPUT
- PROCESSOUTPUT
- PROMPT
- PROMPTCHARS
- PROWS
- QMSG
- RECTFILL
- RENDER
- RENDERLIB
- REPAINT
- RESET
- REVERSE
- ROTATE
- ROTATION
- ROWS
- SCALABLE
- SIMFONT
- SPEED
- SWAP
- SWFONTRENDER
- SYMBOL
- SYMBOLS
- TARGETDEVICE
- TRAILER
- TRAILERFILE
- TRANSPARENCY
- TRANTAB
- TYPE
- UCC
- USERINPUT
- VORIGIN
- VPOS
- VSIZE
- V6COMP
- XMAX
- XPIXELS
- YMAX
- YPIXELS
- SAS System Options Used by SAS/GRAPH
- SAS/GRAPH Statements
- Bringing SAS/GRAPH Output to the Web
- Introducing SAS/GRAPH Output for the Web
- Creating Interactive Output for ActiveX
- Overview of Creating Interactive Output for ActiveX
- When to Use the ACTIVEX Device
- Installing the SAS/GRAPH ActiveX Control
- Generating Output for ActiveX
- About Languages in ACTIVEX
- About Special Fonts and Symbols in ACTIVEX
- SAS Formats Supported by ACTIVEX
- Configuring Drill-Down Links with ACTIVEX
- Examples: Creating Interactive ActiveX Output
- Creating Interactive Output for Java
- Attributes and Parameters for Java and ActiveX
- Generating Static Graphics
- What is a Static Graphic?
- Creating a Static Graphic
- ACTXIMG and JAVAIMG Devices Compared to GIF, JPEG, SVG, and PNG Devices
- Developing Web Presentations with the GIF, JPEG, SVG, and PNG Devices
- Developing Web Presentations with the JAVAIMG and ACTXIMG Devices
- Adding Drill-Down Links to Web Presentations Generated with a Static-Graphic Device
- Examples: Generating Static Graphics
- Generating Web Animation with GIFANIM
- Generating Interactive Metagraphics Output
- Developing Web Presentations for the Metaview Applet
- Advantages of Using the JAVAMETA Device
- Using ODS with the JAVAMETA Device
- Enhancing Web Presentations for the Metaview Applet
- Specifying Non-English Resource Files and Fonts
- Metaview Applet Parameters
- Example: Generating Metacode Output with the JAVAMETA Driver
- Generating Web Output with the Annotate Facility
- Creating Interactive Treeview Diagrams
- Creating Interactive Constellation Diagrams
- Macro Arguments for the DS2CONST and DS2TREE Macros
- Overview of the DS2CONST and DS2TREE Macro Arguments
- Arguments for the APPLET Tag
- Arguments for Data Definition
- Arguments for Generating HTML and XML Files
- Arguments for Diagram Appearance
- Arguments for Page Formatting
- Arguments for Style Sheets
- Arguments for the SAS TITLE and FOOTNOTE Tags
- Arguments for Character Transcoding
- Reserved Names
- Enhancing Web Presentations with Chart Descriptions, Data Tips, and Drill-Down Functionality
- Overview of Enhancing Web Presentations
- Chart Descriptions for Web Presentations
- Data Tips for Web Presentations
- Adding Links and Enhancements with the URL=, HTML=, and HTML_LEGEND= Options
- Enhancing Drill-Down Behavior in SVG Presentations Using HTML Attributes
- Controlling Drill-Down Behavior for ActiveX and Java Using Parameters
- Examples
- Troubleshooting Web Output
- Troubleshooting Web Output
- Checking Browser Permissions
- Using HTML Character Entities
- Connecting to Web Servers That Require Authentication
- Removing CLASSPATH Environment Variables
- Setting the SAS_ALT_DISPLAY Variable for X Window Systems on UNIX
- Correcting Text Fonts
- Resolving Differences between Graphs Generated with Different Technologies
- The Annotate Facility
- Using Annotate Data Sets
- Overview: The Annotate Facility
- The Annotate Function, Variable, and Macro Dictionaries
- About the Annotate Data Set
- About Annotate Graphics
- Creating an Annotate Data Set
- Producing Graphics Output from Annotate Data Sets
- Annotate Processing Details
- List of Annotate Examples
- Annotate Error Messages
- Examples
- Annotate Function Dictionary
- About the Annotate Functions
- ARROW Function
- BAR Function
- CNTL2TXT Function
- COMMENT Function
- DEBUG Function
- DRAW Function
- DRAW2TXT Function
- FRAME Function
- IMAGE Function
- LABEL Function
- MOVE Function
- PIE Function
- PIECNTR Function
- PIEXY Function
- POINT Function
- POLY Function
- POLYCONT Function
- POP Function
- PUSH Function
- SWAP Function
- SYMBOL Function
- TXT2CNTL Function
- Annotate Variable Dictionary
- About the Annotate Variables
- Annotate Internal Coordinates
- ANGLE Variable
- CBORDER Variable
- CBOX Variable
- COLOR Variable
- FUNCTION Variable
- GROUP Variable
- HSYS Variable
- HTML Variable
- IMGPATH Variable
- LINE Variable
- MIDPOINT Variable
- POSITION Variable
- ROTATE Variable
- SIZE Variable
- STYLE Variable (Fonts)
- STYLE Variable (Images)
- STYLE Variable (Arrows)
- STYLE Variable (Patterns)
- SUBGROUP Variable
- TEXT Variable
- WHEN Variable
- WIDTH Variable
- X Variable
- XC Variable
- XSYS Variable
- Y Variable
- YC Variable
- YSYS Variable
- Z Variable
- ZSYS Variable
- XLAST, YLAST Variables
- XLSTT, YLSTT Variables
- Annotate Macro Dictionary
- About the Annotate Macros
- Using Annotate Macros
- %ANNOMAC Macro
- %ARROW Macro
- %BAR, %BAR2 Macros
- %CENTROID Macro
- %CIRCLE Macro
- %CNTL2TXT Macro
- %COMMENT Macro
- %DCLANNO Macro
- %DRAW Macro
- %DRAW2TXT Macro
- %FRAME Macro
- %LABEL Macro
- %LINE Macro
- %MAPLABEL Macro
- %MOVE Macro
- %PIEXY Macro
- %POLY, %POLY2 Macro
- %POLYCONT Macro
- %POP Macro
- %PUSH Macro
- %RECT Macro
- %SCALE Macro
- %SCALET Macro
- %SEQUENCE Macro
- %SLICE Macro
- %SWAP Macro
- %SYSTEM Macro
- %TXT2CNTL Macro
- Using Annotate Data Sets
- The DATA Step Graphics Interface
- The DATA Step Graphics Interface
- DSGI Utility Function Dictionary
- DSGI GASK Routine Dictionary
- About the DSGI GASK Routines
- ASF
- ASPECT
- CATALOG
- CBACK
- CLIP
- COLINDEX
- COLREP
- DEVICE
- FILCOLOR
- FILINDEX
- FILREP
- FILSTYLE
- FILTYPE
- GRAPHLIST
- HPOS
- HSIZE
- HTML
- LINCOLOR
- LININDEX
- LINREP
- LINTYPE
- LINWIDTH
- MARCOLOR
- MARINDEX
- MARREP
- MARSIZE
- MARTYPE
- MAXDISP
- NUMGRAPH
- OPENGRAPH
- PATREP
- STATE
- TEXALIGN
- TEXCOLOR
- TEXEXTENT
- TEXFONT
- TEXHEIGHT
- TEXINDEX
- TEXPATH
- TEXREP
- TEXUP
- TRANS
- TRANSNO
- VIEWPORT
- VPOS
- VSIZE
- WINDOW
- WSACTIVE
- WSOPEN
- DSGI GDRAW Function Dictionary
- DSGI GRAPH Function Dictionary
- DSGI GSET Function Dictionary
- About the DSGI GSET Functions
- ASF
- ASPECT
- CATALOG
- CBACK
- CLIP
- COLREP
- DEVICE
- FILCOLOR
- FILINDEX
- FILREP
- FILSTYLE
- FILTYPE
- HPOS
- HSIZE
- HTML
- LINCOLOR
- LININDEX
- LINREP
- LINTYPE
- LINWIDTH
- MARCOLOR
- MARINDEX
- MARREP
- MARSIZE
- MARTYPE
- MESSAGE
- PATREP
- TEXALIGN
- TEXCOLOR
- TEXFONT
- TEXHEIGHT
- TEXINDEX
- TEXPATH
- TEXREP
- TEXUP
- TRANSNO
- VIEWPORT
- VPOS
- VSIZE
- WINDOW
- SAS/GRAPH Procedures
- GANNO Procedure
- GAREABAR Procedure
- GBARLINE Procedure
- GCHART Procedure
- Syntax: GCHART Procedure
- Overview: GCHART Procedure
- Chart Terminology
- Understanding Chart Variables
- Understanding Midpoints
- About Chart Statistics
- About Patterns
- Examples: GCHART Procedure
- Example 1: Specifying the Sum Statistic in a Block Chart
- Example 2: Grouping and Subgrouping a Block Chart
- Example 3: Specifying the Sum Statistic in Bar Charts
- Example 4: Subgrouping a Three-Dimensional Vertical Bar Chart
- Example 5: Controlling Midpoints and Statistics in a Horizontal Bar Chart
- Example 6: Generating Error Bars in a Horizontal Bar Chart
- Example 7: Specifying the Sum Statistic for a Pie Chart
- Example 8: Subgrouping a Donut or Pie Chart
- Example 9: Ordering and Labeling Slices in a Pie Chart
- Example 10: Grouping and Arranging Pie Charts
- Example 11: Specifying the Sum Statistic in a Star Chart
- Example 12: Charting a Discrete Numeric Variable in a Star Chart
- Example 13: Creating a Detail Pie Chart
- References
- GCONTOUR Procedure
- GDEVICE Procedure
- GEOCODE Procedure
- GFONT Procedure
- GINSIDE Procedure
- GKPI Procedure
- GMAP Procedure
- Syntax: GMAP Procedure
- Overview: GMAP Procedure
- About Map Data Sets
- About GfK GeoMarketing Map Data Sets
- About Traditional Map Data Sets
- Map Data Sets Containing X, Y, LONG, and LAT
- Differences Between GfK and Traditional Map Data Sets
- The METAMAPS Data Set
- Special GfK Data Sets for Annotating Maps
- Special Traditional Data Sets for Annotating Maps
- About Response Data Sets
- About Identification Variables
- Displaying Map Areas and Response Data
- Summary of Use
- Accessing SAS Maps Online
- Importing Maps from Esri Shapefiles
- Using FIPS Codes and Province Codes
- Using Formats for Map Variables
- Using SAS/GRAPH Map Data Sets
- Examples: GMAP Procedure
- Example 1: Using GfK GeoMarketing Map Data to Produce a Simple Block Map
- Example 2: Using Traditional Map Data to Produce a Simple Block Map
- Example 3: Using GfK GeoMarketing Map Data to Specify Response Levels in a Block Map
- Example 4: Using Traditional Map Data to Specify Response Levels in a Block Map
- Example 5: Using GfK GeoMarketing Map Data to Assign a Format to the Response Variable
- Example 6: Using Traditional Map Data to Assign a Format to the Response Variable
- Example 7: Using GfK GeoMarketing Map Data to Specify the Statistic for the Response Variable
- Example 8: Using Traditional Map Data to Specify the Statistic for the Response Variable
- Example 9: Using GfK GeoMarketing Map Data to Produce a Simple Choropleth Map
- Example 10: Using Traditional Map Data to Produce a Simple Choropleth Map
- Example 11: Using GfK GeoMarketing Map Data to Label Provinces on a Map
- Example 12: Using Traditional Map Data to Label Provinces on a Map
- Example 13: Using GfK GeoMarketing Map Data to Produce a Simple Prism Map
- Example 14: Using Traditional Map Data to Produce a Simple Prism Map
- Example 15: Using GfK GeoMarketing Map Data to Specify Midpoints in a Prism Map
- Example 16: Using Traditional Map Data to Specify Midpoints in a Prism Map
- Example 17: Using GfK GeoMarketing Map Data to Produce a Simple Surface Map
- Example 18: Using Traditional Map Data to Produce a Simple Surface Map
- Example 19: Using GfK GeoMarketing Map Data While Rotating and Tilting a Surface Map
- Example 20: Using Traditional Map Data While Rotating and Tilting a Surface Map
- Example 21: Mapping an Individual Country by Subsetting MAPS.WORLD
- GOPTIONS Procedure
- GPLOT Procedure
- Syntax: GPLOT Procedure
- Overview: GPLOT Procedure
- Parts of a Plot
- About the Input Data Set
- Examples: GPLOT Procedure
- Example 1: Generating a Simple Bubble Plot
- Example 2: Labeling and Sizing Plot Bubbles
- Example 3: Adding a Right Vertical Axis
- Example 4: Plotting Two Variables
- Example 5: Connecting Plot Data Points
- Example 6: Generating an Overlay Plot
- Example 7: Filling Areas in an Overlay Plot
- Example 8: Plotting Three Variables
- Example 9: Plotting with Different Scales of Values
- Example 10: Creating Plots with Drill-down Functionality for the Web
- GPROJECT Procedure
- GRADAR Procedure
- Syntax: GRADAR Procedure
- Overview: GRADAR Procedure
- Calculating Weighted Statistics
- Examples: GRADAR Procedure
- Example 1: Producing a Basic Radar Chart
- Example 2: Overlaying Radar Charts
- Example 3: Tiling Radar Charts
- Example 4: Using Multiple Classification Variables in Radar Charts
- Example 5: Modifying the Appearance of Radar Charts
- Example 6: Modifying Chart Axes
- Example 7: Creating a Windrose Chart
- Example 8: Creating a Calendar Chart
- GREDUCE Procedure
- GREMOVE Procedure
- GREPLAY Procedure
- Syntax: GREPLAY Procedure
- Overview: GREPLAY Procedure
- Catalog Entries
- Displaying the List of Templates Provided by SAS/GRAPH
- Duplicate Entry Names
- Ways to Use the GREPLAY Procedure
- Sizing and Naming Your Graphs for Replay (Best Practice)
- Considerations for Replaying a Graph
- Using the GREPLAY Procedure Windows
- Using Code-based Statements to Run the GREPLAY Procedure
- Using the GREPLAY Procedure to Replay Catalog Entries
- Using the GREPLAY Procedure to Create Custom Templates
- Using the GREPLAY Procedure to Replay Graphics Output in a Template
- Using the GREPLAY Procedure to Create Color Maps
- Examples: GREPLAY Procedure
- GSLIDE Procedure
- GTILE Procedure
- G3D Procedure
- Syntax: G3D Procedure
- Overview: G3D Procedure
- G3D Procedure Terms
- The Input Data Set
- Rotating and Tilting the Plot
- Controlling the Axes
- Examples: G3D Procedure
- Example 1: Generating A Surface Plot
- Example 2: Generating a Rotated Surface Plot
- Example 3: Generating a Tilted Surface Plot
- Example 4: Generating a Scatter Plot
- Example 5: Generating a Scatter Plot with Modified Shapes
- Example 6: Generating a Scatter Plot with Modified Shapes and a Grid
- Example 7: Generating a Rotated Scatter Plot with Modified Axes
- References
- G3GRID Procedure
- MAPIMPORT Procedure
- Appendixes
- Summary of ActiveX and Java Support
- Using SAS/GRAPH Fonts
- Using Device-Resident Fonts
- Transporting and Converting Graphics Output
- GREPLAY Procedure Template Code
- Overview
- H2: One Box Left and One Box Right
- H2S: One Box Left and One Box Right with Space
- H3: Three Boxes Across
- H3S: Three Boxes Across with Space
- H4: Four Boxes Across
- H4S: Four Boxes Across with Space
- L1R2: One Box Left and Two Boxes Right
- L1R2S: One Box Left and Two Boxes Right with Space
- L2R1: Two Boxes Left and One Box Right
- L2R1S: Two Boxes Left and One Box Right with Space
- L2R2: Two Boxes Left and Two Boxes Right
- L2R2S: Two Boxes Left and Two Boxes Right with Space
- U1D2: One Box Up and Two Boxes Down
- U1D2S: One Box Up and One Box Down with Space
- U2D1: Two Boxes Up and One Box Down
- U2D1S: Two Boxes Up and One Box Down with Space
- V2: One Box Up and One Box Down
- V2S: One Box Up and One Box Down with Space
- V3: Three Boxes Vertically
- V3S: Three Boxes Vertically with Space
- Whole: Entire Screen Template
- Recommended Reading
- Glossary
- Network Visualization Workshop
- Title Page
- What's New in SAS/GRAPH Network Visualization Workshop 2.1
- Overview of SAS/GRAPH Network Visualization Workshop
- Working with Data Sources
- Working with Tables
- About Data Tables
- Selecting Data in a Table
- Copy and Paste Table Data
- Changing Header Labels
- Sorting a Table
- Find Specific Data in a Table
- Enable Automatic Scrolling in Tables
- Change a Variable's Measurement Level
- Hide a Variable
- Exclude an Observation from Graphs
- Change the Marker's Appearance for One or More Observations
- Examine the Variable Attributes for Selected Observations
- Reopen a Table
- Creating and Modifying Statistical Graphs
- Creating and Modifying Network Graphs
- Working with Graphs
- Using Selection Mode to Subset Data
- Working with Projects
- Sample Data and Example Use Cases
