The TIMEDATA Procedure
- Overview
- Getting Started
-
Syntax
-
DetailsAccumulationMissing Value InterpretationTime Series TransformationTime Series DifferencingSummary StatisticsProgramming StatementsPredefined SymbolsData Set OutputOUT= Data SetOUTARRAY= Data SetOUTPROCINFO= Data SetOUTSCALAR= Data SetOUTSUM= Data Set_STATUS_ Variable ValuesPrinted OutputODS Table NamesODS Graphics Names
-
Examples
- References
Subsections:
- Accumulation
- Missing Value Interpretation
- Time Series Transformation
- Time Series Differencing
- Summary Statistics
- Programming Statements
- Predefined Symbols
- Data Set Output
- OUT= Data Set
- OUTARRAY= Data Set
- OUTPROCINFO= Data Set
- OUTSCALAR= Data Set
- OUTSUM= Data Set
- _STATUS_ Variable Values
- Printed Output
- ODS Table Names
- ODS Graphics Names
The TIMEDATA procedure forms time series data from transactional data. The accumulated time series can then be processed using SAS programming statements. The resulting time series can then be analyzed using time series techniques. The data are analyzed using the following steps (the relevant option is listed to the left):
-
- accumulation
-
ACCUMULATE= option in the ID or VAR statement
-
- missing value interpretation
-
SETMISSING= option in the ID or VAR statement
-
- time series transformation
-
TRANSFORM= option in the VAR statement
-
- time series differencing
-
DIF= and SDIF= options in the VAR statement
-
- program execution
-
SAS programming statements
-
- descriptive statistics
-
OUTSUM= option