The EXPAND Procedure
- Overview
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Getting Started
Converting to Higher Frequency Series Aggregating to Lower Frequency Series Combining Time Series with Different Frequencies Interpolating Missing Values Requesting Different Interpolation Methods Using the ID Statement Specifying Observation Characteristics Converting Observation Characteristics Creating New Variables Transforming Series -
Syntax
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Details
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Examples
- References
| OUT= Data Set |
The OUT= output data set contains the following variables:
the BY variables, if any
an ID variable that identifies the time period for each output observation
the result variables
if no frequency conversion is performed (so that there is one output observation corresponding to each input observation), all the other variables in the input data set are copied to the output data set
The ID variable in the output data set is named as follows:
If an ID statement is used, the new ID variable has the same name as the variable used in the ID statement.
If no ID statement is used, but the FROM= option is used, then the name of the ID variable is either DATE or DATETIME, depending on whether the TO= option indicates SAS date or SAS datetime values.
If neither an ID statement nor the TO= option is used, the ID variable is named TIME.