specifies the alignment of the representative value with respect to an interval or bin. The following example specifies a bin of width 5 years and the representing value of a bin is the bin’s beginning value, by default. Given the bins [1985, 1990], [1990, 1995], …, [2000, 2005], and ALIGN=ENDING, the representing values of these bins are 1990, 1995,..., 2005.

data example.stocks(partition=(stock));
   set sashelp.stocks;
run;

proc imstat data=example.stocks;	  
    aggregate close (agg=mean) close (agg=std) 
              / id=date idfmt="year."  
              bin=('01jan1985'd, '01jan1990'd)
              align=m  
              partition="IBM";
run;
    table example.&_templast_;
    fetch / format orderby=(date) to=20;
quit;

specifies the minimum and maximum values of one bin. The boundaries for additional bins are extrapolated from the range in the bin that you specify. For example, if the values of the ID= variable range from 0 to 100, and you specify BIN=(5, 15), then the server constructs 11 bins. The first bin is [–5, 5], the second bin is (5, 15], and the last bin is (95, 105]. The values on the upper boundary of a bin belong to this bin. The values on the lower boundary of a bin belong to the adjacent lower bin.

specifies the variable to use for identifying the order of the analysis variable. It is required when you specify one of the following aggregation methods:

data example.stocks;
    set sashelp.stocks;
 run;

proc imstat data=example.stocks;
    where stock="IBM" and date >= '01jan2003'd;

    aggregate close (agg=fne) close (agg=lne) close (agg=mean) 
              / id=date idfmt="yyq6."
                edgeid=date interval="quarter";
quit;

specifies a list of variable names, or a single variable name, to use as GROUPBY variables in the order of the grouping hierarchy. If you do not specify any GROUPBY variable names, then the calculation is performed across the entire table—possibly subject to a WHERE clause.

specifies the maximum number of levels in a GROUPBY set. When the software determines that there are at least n levels in the GROUPBY set, it abandons the action, returns a message, and does not produce a result set. You can specify the GROUPBYLIMIT= option if you want to avoid creating excessively large result sets in GROUPBY operations.

specifies a section of the group-by hierarchy to be included in the computation. With this option, you can request that the server performs the analysis for only a subset of all possible groupings. The subset is determined by applying the group filter to a temporary table that you generate with the GROUPBY statement.

proc imstat;
    table example.cars_program_all;
    groupby state city trade_in_model / temptable 
                 weight=new_vehicle_msrp 
                 agg   =(max) 
                 order =weight;  
run;

    table example.cars_program_all;
    distinct sales_type / groupfilter=(
                 table  =mylasr.&_TEMPLAST_
                 scoregt=40000
                 valuelt=("FL","Ft Myers","")
                 limit  =20
                 descending);
run;

specifies a numeric variable that identifies the time associated with each observation in the input table. The values of the ID= variable are typically SAS date, time, or datetime values, but that is not a requirement.

specifies the format for the ID= variable. If you do not specify this option, the default format for the variable is applied. If the ID= option is not specified, this option is ignored.

specifies the end value of the ID= variable to be included in the analysis. If the last ID= variable value is less than the specified IDEND= value, then the series is extended with missing values. If the last ID= variable value is greater than the specified IDEND= value, then the series is truncated.

specifies the beginning value of the ID= variable to be included in the analysis. If the first ID= variable value is greater than the specified IDSTART= value, then the series is prefixed with missing values. If the first ID= variable value is less than the specified IDSTART= value, then the series is truncated. If the ID= option is not specified, then this option is ignored.

specifies the time period for the accumulation of observations. For example, if you specify INTERVAL='MONTH', then the AGGREGATE statement summarizes the observations in monthly intervals. If the ID= option is not specified, then this option is ignored.

specifies that during aggregation, a window considers data within a specified multiple of intervals. A jumping window resets the aggregation process when the specified range of time expires. If you do not specify the JUMPINGWINDOW option, a window always retains the same multiple of intervals.

specifies one or more variables to transfer from the active table to the ODS table output or temporary table. When multiple input observations contribute to an output observation (this is the most common situation), the minimum value is used.

specifies to output an aggregated value for each input observation by aggregating input observations whose ID= values are specified by INTERVAL= and WINDOWINT= options. Be aware that using this option can increase the volume of the result set.

libname example sasiola host="grid001.example.com" port=10010 tag=hps;

data example.retaindata;
  input transaction dt memberid deposit;
  informat dt date9.;
  format   dt date9.;
  datalines;
    1  	15Apr2014	  2	5000
    2	  01May2014	  2	5000
    3 	01May2014 	3 8000
    4 	02May2014 	2	5000
    5 	03May2014	  1	4000
    6 	03May2014 	3	3000
    7 	04May2014 	2	4000
    8 	04May2014 	3	2000
    9 	05May2014 	1	3000
    10 	06May2014 	1	3000
    11 	07May2014 	1	2500
    12 	08May2014 	2	1000
    13 	09May2014	  2	2000
    14 	10May2014 	2	2000
    15 	10May2014 	4	12000
run;

proc imstat data=example.retaindata; 
  aggregate 
     deposit(agg=sum) 
     deposit(agg=n) 
     / 
     groupby=memberid id=dt idfmt='DATE9.' 
     interval='day' windowInt='year' 
     noemptyinterval keeprecord; 
run;

specifies that intervals that no ID= variable value belongs to are omitted from the output. By default, the empty intervals contain missing values.

specifies that you do not want to include missing values in the determination of group-by values. This option also applies to analysis variables when you specify AGGREGATOR=NDISTINCT.

specifies the time series shift in order to match up with an existing time series. It can be used to match up with existing time series from previous year, for example.

specifies the time value when the aggregation within an interval or a bin is terminated. For example, if you specify INTERVAL='MONTH' and PARTIALTOINTERVAL='10FEB98'd, then the action aggregates records from the first 10 days of each month only.

aggregate var1 (agg=n) / id=date interval='month' windowint='year' 
     partialtointerval='10feb1998'd jumpingwindow;

specifies the time value when the aggregation within a window interval or a window bin is terminated. For example, if you specify WINDOWINT='YEAR', PARTIALTOWINDOW='10FEB98'd, and JUMPINGWINDOW, then the action aggregates records from the first 41 days of each year for each interval, except the interval contains all 31 days from January of each year. The PARTIALTOWINDOW= and PARTIALTOINTERVAL= options can be used together.

aggregate var1 (agg=n) / id=date interval='month' 
    windowint='year' partialtowindow='08feb98'd jumpingwindow;

specifies that when the active table is partitioned, then the aggregation is performed separately for each specified partition-key. If you do not specify a partition-key, the analysis is performed for all partitions. You can use the PARTITIONINFO statement to retrieve the valid partition key values for a table.

saves the result table so that you can use it in other IMSTAT procedure statements like STORE, REPLAY, and FREE. The value for table-name must be unique within the scope of the procedure execution. The name of a table that has been freed with the FREE statement can be used again in subsequent SAVE= options.

specifies the offset from the start of a bin. n must be positive and less or equal than the bin width. If the specified n is out of range, then this option is ignored.

specifies the width of the sub-bin within a bin. For example, if the values of the ID= variable range from 0 to 100, and you specify BIN=(5, 15), SUBBINOFFSET=2, and SUBBINWIDTH=5, then this action summarizes the observations with ID= variable values that fall into the ranges [–3, 2], (7, 12], (17, 22], …, (97, 102]. n must be positive and the sum of SUBBINOFFSET= and SUBBINWIDTH= must be less or equal to the bin width. If the specified n is out of range, then this option is ignored.

aggregate var1 (agg=n) / id=id bin=(5, 15) subbinoffset=2 subbinwidth=5;

specifies either a quoted string that contains the SAS expression that defines the temporary variables or a file reference to an external file with the SAS statements.

specifies the list of temporary variables for the request. Each temporary variable must be defined through SAS statements that you supply with the TEMPEXPRESS= option.

generates an in-memory temporary table from the result set. The IMSTAT procedure displays the name of the table and stores it in the &_TEMPLAST_ macro variable, provided that the statement executed successfully.

specifies the minimum and maximum values of a time window for the aggregation of observations with respect to each bin. The construction of this option is similar to the BIN= option. If the width of the window is not a multiple of the width of the bin, then the action fails. If the value for lower-number is not equal to that of BIN= option, the action fails.

specifies the time window for the aggregation of observations with respect to each time interval. For example, if you specify INTERVAL='MONTH' and WINDOWINT='YEAR', then the AGGREGATE statement summarizes a year’s worth of observations before the end of each monthly interval.

specifies the time series shift in terms of an integer multiple of the WINDOWINT= or WINDOWBIN= value. For example, if you specify WINDOWINT='YEAR' and WINDOWOFFSET=–3, then at each time interval, the aggregated records are from three years earlier.