| The HPFDIAGNOSE Procedure |
| ID Statement |
For more information about the ID statement, see the section ID Statement in the HPFENGINE procedure.
specifies how the data set observations are accumulated within each time period for the variables listed in the FORECAST statement. If the ACCUMULATE= option is not specified in the FORECAST statement, accumulation is determined by the ACCUMULATE= option of the ID statement. The ACCUMULATE= option accepts the following values: NONE, TOTAL, AVERAGE | AVG, MINIMUM | MIN, MEDIAN | MED, MAXIMUM | MAX, N, NMISS, NOBS, FIRST, LAST, STDDEV | STD, CSS, USS. The default is NONE.
controls the alignment of SAS dates used to identify output observations. The ALIGN= option accepts the following values: BEGINNING | BEG | B, MIDDLE | MID | M, and ENDING | END | E. BEGINNING is the default.
specifies a SAS date, datetime, or time value that represents the end of the data. If the last time ID variable value is less than the END= value, the series is extended with missing values. If the last time ID variable value is greater than the END= value, the series is truncated. For example, END="&sysdate" uses the automatic macro variable SYSDATE to extend or truncate the series to the current date. This option and the START= option can be used to ensure that data associated with each BY group contains the same number of observations.
specifies the frequency of the input time series. For example, if the input data set consists of quarterly observations, then INTERVAL=QTR should be used. If the SEASONALITY= option is not specified, the length of the seasonal cycle is implied by the INTERVAL= option. For example, INTERVAL=QTR implies a seasonal cycle of length 4. If the ACCUMULATE= option is also specified, the INTERVAL= option determines the time periods for the accumulation of observations. See SAS/ETS User's Guide for the intervals that can be specified.
specifies how missing values (either actual or accumulated) are assigned in the accumulated time series for variables listed in the FORECAST statement. If the SETMISSING= option is not specified in the FORECAST statement, missing values are set based on the SETMISSING= option of the ID statement. The SETMISSING= option accepts the following values: MISSING, AVERAGE | AVG, MINIMUM | MIN, MEDIAN | MED, MAXIMUM | MAX, FIRST, LAST, PREVIOUS | PREV, NEXT. The default is MISSING.
specifies a SAS date, datetime, or time value that represents the beginning of the data. If the first time ID variable value is greater than the START= value, the series is prefixed with missing values. If the first time ID variable value is less than the END= value, the series is truncated. This option and the END= option can be used to ensure that data associated with each BY group contains the same number of observations.
specifies how missing values (either actual or accumulated) are trimmed from the accumulated time series for variables listed in the FORECAST statement. The following options are provided:
No missing value trimming is applied.
Beginning missing values are trimmed.
Ending missing values are trimmed.
Both beginning and ending missing value are trimmed. This option is the default.
If the TRIMMISS= option is not specified in the FORECAST statement, missing values are set based on the TRIMMISS= option of the ID statement.
specifies how beginning and/or ending zero values (either actual or accumulated) are interpreted in the accumulated time series for variables listed in the FORECAST statement. If the ZEROMISS= option is not specified in the FORECAST statement, missing values are set based on the ZEROMISS= option of the ID statement. The following options are provided:
Beginning and/or ending zeros unchanged. This option is the default.
Beginning zeros are set to missing.
Ending zeros are set to missing.
Both beginning and ending zeros are set to missing.
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