The groupByInfo action computes the index and frequency of each group, and the index of each record within its group. This action is part of the Simple Analytics Action Set, which provides basic analytic functions.
| Parameter | Beschreibung |
|---|---|
| algorithm2 | Specifies a more efficient algorithm for processing group information. Processing with this algorithm might be faster when the data contains a large number of groups and the grid that you are using has many nodes. When True is specified, the output table specified by casOut= does not contain formatted-value columns for the input variables (input-variable-name_F columns). |
| attributes | Specifies the variable attributes. |
| casOut | Specifies the settings for an output table. |
| copyVars | Specifies the columns to copy from the input table to the casOut output table. Variables specified in the inputs parameter and groupBy columns are automatically copied. |
| cumFreqName | Specifies the column name for the cumulative frequency in the output table. The column shows the cumulative frequency of the group to which the record belongs, with respect to the input table. The default column name is _CumFreq_. |
| details | Specifies that messages such as the number of groups and other details are written to the SAS log. |
| divider | Specifies the character that is used to divide character values of the input variables. Specify a character that is not in these variables. |
| frequencyName | Specifies the column name for the group frequencies in the output table. The default column name is _Frequency_. |
| generatedColumns | Specifies the generated columns to include in the output table. Values can be ALL, CUMFREQ, F, FREQUENCY, GROUPID, NONE, POSITION. |
| groupByLimit | Specifies the maximum number of levels in a group-by set. When the server determines this number of levels, the server stops and does not return a result. Specify this parameter if you want to avoid creating large result sets in group-by operations. |
| groupbyTable | Specifies an input table that contains the groups to use in a group-by analysis. |
| casLib | Specifies the caslib for the filter table. By default, the active caslib is used. |
| dataSourceOptions | Specifies data source options. |
| importOptions | Specifies the settings for reading a table from a data source. |
| name | Specifies the name of the filter table. |
| where | Specifies an expression for subsetting the data from the filter table. |
| groupIDName | Specifies the column name for the group IDs in the output table. The default column name is _GroupID_. |
| includeDuplicates | Specifies that the output table contains duplicate records. |
| includeMissing | Specifies that groups that have a missing value in a groupBy variable are included in the casOut table. |
| inputRegEx | Specifies a list of regular expressions, one for each variable in the inputs list. |
| inputs | Specifies the input variables for the analysis. |
| journalTrace | When set to True, the action writes detailed tracing information to the SAS log. |
| keyModify | Specifies whether you want character values in input variables to be left-justified (L), right-justified (R), converted to uppercase (U), and consecutive blanks condensed to one blank (C). |
| maxFrequency | Specifies that the output table contains records with _Frequency_ less than or equal to this number. |
| maxPosition | Specifies that the output table contains records with _Position_ less than or equal to this number. |
| minFrequency | Specifies that the output table contains records with _Frequency_ greater than or equal to this number. |
| minGroupsLL | Specifies the minimum number of groups that are required to use post-read parallel algorithms. |
| minPosition | Specifies that the output table contains records with _Position_ greater than or equal to this number. |
| noVars | When set to True, no variables are automatically copied from the input table to the output table. By default, all columns that are not in the inputs, groupBy, weight, or frequency parameters are copied. |
| nSubGroupVars | Specifies the number of variables in the inputs varlist whose values determine subgroups. |
| position | Specifies to filter the records for the output table. Only the records that match the specified value in the _Position_ column are included in the output table. |
| positionName | Specifies the column name for the position of the record within its group in the output table. The default column name is _Position_. |
| sparse | When set to True and the action is running on a distributed server, each thread reads data that belongs to only a few groups. By default, each thread reads records from many or all groups. Specify True to improve performance when there are many threads on all workers, many groups, or both. In some cases, sparse is enabled automatically. |
| subGroupCumFreqName | Specifies the column name for the cumulative frequency of subgroups that each record belongs to. The default column name is _SubCumFreq_. |
| subGroupFrequencyName | Specifies the column name for the frequency of the record within its subgroup. The default column name is _SubFrequency_. |
| subGroupIDName | Specifies the column name for the subgroup IDs. The default column name is _SubGroupID_. |
| subGroupPositionName | Specifies column name for the subgroup frequencies. The default column name is _SubPosition_. |
| table | Specifies the table name, caslib, and other common parameters. |
| computedOnDemand | Specifies whether computed variables are to be computed on demand. |
| computedVars | Specifies the computed variables to add to the table. |
| computedVarsProgram | Specifies the string that contains a single DS2 program that is to be executed in CAS. |
| groupBy | Specifies the variables to use for grouping. |
| groupByMode | Specifies how to handle grouping variables. Values can be NOSORT, REDISTRIBUTE. |
| orderBy | Specifies the variables to use for ordering. |
| singlePass | When set to True, only one pass is made over the data to collect statistics. |
| vars | Specifies the variables to use. |
| whereTable | Specifies a table that contains a WHERE expression. This is for internal use only. |
This is a generic placeholder as no explicit data creation example was found in the provided HTML snippet. A typical data creation would involve loading a table into CAS.
| 1 | DATA casuser.mydata; |
| 2 | INPUT ID $ X Y; |
| 3 | DATALINES; |
| 4 | A 1 10 |
| 5 | B 2 20 |
| 6 | A 3 30 |
| 7 | C 4 40 |
| 8 | B 5 50 |
| 9 | A 6 60 |
| 10 | ; |
| 11 | RUN; |
| 12 | PROC CAS; |
| 13 | caslib _all_ assign; |
| 14 | load DATA=casuser.mydata out=mydata; |
| 15 | RUN; QUIT; |
This example demonstrates how to use groupByInfo with only the required parameters to compute group information for a table.
| 1 | PROC CAS; |
| 2 | SIMPLE.groupByInfo RESULT=r / TABLE={name='mydata', groupBy={'ID'}}; |
| 3 | PRINT r; |
| 4 | QUIT; |
This example illustrates the use of 'algorithm2' for potentially faster processing with a large number of groups, and also includes duplicate records in the output table.
| 1 | PROC CAS; |
| 2 | SIMPLE.groupByInfo RESULT=r / |
| 3 | TABLE={name='mydata', groupBy={'ID', 'X'}}, |
| 4 | algorithm2=TRUE, |
| 5 | includeDuplicates=TRUE, |
| 6 | generatedColumns={'ALL'}; |
| 7 | PRINT r; |
| 8 | QUIT; |
This example shows how to filter the output table to include only groups that meet a minimum frequency and minimum position within their group.
| 1 | PROC CAS; |
| 2 | SIMPLE.groupByInfo RESULT=r / |
| 3 | TABLE={name='mydata', groupBy={'ID'}}, |
| 4 | minFrequency=2, |
| 5 | minPosition=2, |
| 6 | generatedColumns={'GROUPID', 'FREQUENCY', 'POSITION'}; |
| 7 | PRINT r; |
| 8 | QUIT; |