The TIMEDATA Procedure
Details: TIMEDATA Procedure
- Accumulation
- Missing Value Interpretation
- Time Series Transformation
- Time Series Differencing
- Summary Statistics
- Programming Statements
- Predefined Symbols
- Auxiliary Data Sets
- 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
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Last updated: November 05, 2018