SET reads an observation from an existing SAS data set. INPUT reads raw data from an external file or from in-stream data lines in order to create SAS variables and observations. Using the KEY= option with SET enables you to access observations nonsequentially in a SAS data set according to a value.

2022年11月15日 · You can use the following basic syntax to include multiple datasets in the set statement in SAS: data new_data; set data1 data2 data3; run ; The following example shows how to use this syntax in practice.

2023年4月27日 · You can use the WHERE option with SET in SAS to create a new dataset that only includes rows from another dataset where certain conditions are met. Here are two common ways to use this option in practice: Method 1: Use WHERE and SET with One Condition. data new_data; set my_data (where = (points>20)); run;

There are several SET statement options that affect how the SAS Supervisor manages the Program Data Vector and the Initialize to Missing process. Effective use of these options can significantly improve the efficiency of a SAS program. An understanding of how theSAS Supervisor treats the SET statement and its options is

The SET statement is flexible and has a variety of uses in DS2 programming. These uses are determined by the options and statements that you use with the SET statement: reading rows and columns from existing tables for further processing in a DS2 program

2019年12月8日 · The primary function of the SET statement in SAS is to read observations from one or more SAS datasets. Properly using the SET statement in SAS is one of the key techniques for improving the efficiency of SAS programs.

The set statement followed by the name of an existing SAS data set simply specifies the source data set that is read. In the following code snippet, a data set called DataB is created and its source data set is DataA. data DataB; set DataA; *Manipulate Data here; run; The set statement can be used concatenate or stack data sets vertically. In the

Multi-table SET statements and a SET statement with embedded SQL code are allowed when using the SAS In-Database Code Accelerator. However, if you are using the SAS In-Database Code Accelerator for Hadoop, Hive .13 or later is required.

In SAS, you can perform one-to-one reading with the help of multiple SET statements. It combines observations from two or more data sets into a single observation in a new data set. Suppose you have two very big datasets. You have IDs column in both the datasets.

SET reads all variables and all observations from the input data sets unless you tell SAS to do otherwise. A SET statement can contain multiple data sets; a DATA step can contain multiple SET statements.