Creating a Partitioned Data Set

Stratify by

Specifies separate partitions for each combination of levels. You can specify a maximum of two variables to this role.

Number of partitions

Specifies the number of partitions. You can choose to create one, two, three, or four partitions.

Proportion of cases for partition n

Specifies the proportion of cases for each partition. The sum of all the partition proportions must be less than or equal to 1.

Random seed

Specifies the initial seed for the generation of random numbers. This value must be an integer. If you do not specify a number, then a seed that is based on the system clock will be used to produce the sample.

Partition data sets

Specifies whether to include all partitions in one data set or put each partition in a separate data set. You can specify a unique name for each output data set.

Include unsampled observations

Specifies whether to include unsampled observations in the output data set.

Note: This option applies only if you are saving all the partitions to one data set.

Variable name for partitioned values

Specifies the name for the variable that contains the partitioned values.

Note: This option applies only if you are saving all the partitions to one data set.

ID value for partition n data

Specifies the identifier to use for each value in a partition.

Note: This option applies only if you are saving all the partitions to one data set.

Print output data

specifies whether to display the output data set on the Results tab. You can choose to display all of the data or a subset of the output data. The task always creates an output data set that appears on the Output Data tab. The output data is also saved as a SAS data set.