- SAS - Dates & Times
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SAS Data Set Operations
- SAS - Simulations
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- SAS - Sort Data Sets
- SAS - Subsetting Data Sets
- SAS - Merging Data Sets
- SAS - Concatenate Data Sets
- SAS - Write Data Sets
- SAS - Read Raw Data
SAS Data Representation
SAS Basic Statistical Procedure
- SAS - Hypothesis Testing
- SAS - One-Way Anova
- SAS - Repeated Measure Analysis
- SAS - Fishers Exact Tests
- SAS - Chi-Square
- SAS - Bland-Altman Analysis
- SAS - Linear Regression
- SAS - Correlation Analysis
- SAS - T Tests
- SAS - Cross Tabulations
- SAS - Frequency Distributions
- SAS - Standard Deviation
- SAS - Arithmetic Mean
SAS Useful Resources
Selected Reading
- Who is Who
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- Questions and Answers
- UPSC IAS Exams Notes
SAS - Subsetting Data Sets
Subsetting a SAS data set means extracting a part of the data set by selecting a fewer number of variables or fewer number of observations or both. While subsetting of variables is done by using KEEP and DROP statement, the sub setting of observations is done using DELETE statement.
Also the resulting data from the subsetting operation is held in a new data set which can be used for further analysis. Sub setting is mainly used for the purpose of analyzing a part of the data set without using those variables or observations which may not be relevant to the analysis.
Subsetting Variables
In this method we extract only few variables from the entire data set.
Syntax
The basic syntax for sub setting variables in SAS is −
KEEP var1 var2 ... ; DROP var1 var2 ... ;
Following is the description of the parameters used −
var1 and var2 are the variable names from the data set which needs to be kept or dropped.
Example
Consider the below SAS data set containing the employee details of an organization. If we are interested only in getting the Name and Department values from the data set, then we can use the below code.
DATA Employee; INPUT empid ename $ salary DEPT $ ; DATALINES; 1 Rick 623.3 IT 2 Dan 515.2 OPS 3 Mike 611.5 IT 4 Ryan 729.1 HR 5 Gary 843.25 FIN 6 Tusar 578.6 IT 7 Pranab 632.8 OPS 8 Rasmi 722.5 FIN ; RUN; DATA OnlyDept; SET Employee; KEEP ename DEPT; RUN; PROC PRINT DATA = OnlyDept; RUN;
When the above code is executed, we get the following output.
The same result can be obtained by dropping the variables that are not required. The below code illustrates this.
DATA Employee; INPUT empid ename $ salary DEPT $ ; DATALINES; 1 Rick 623.3 IT 2 Dan 515.2 OPS 3 Mike 611.5 IT 4 Ryan 729.1 HR 5 Gary 843.25 FIN 6 Tusar 578.6 IT 7 Pranab 632.8 OPS 8 Rasmi 722.5 FIN ; RUN; DATA OnlyDept; SET Employee; DROP empid salary; RUN; PROC PRINT DATA = OnlyDept; RUN;
Subsetting Observations
In this method we extract only few observations from the entire data set.
Syntax
We use PROC FREQ which keeps track of the observations selected for the new data set.
The syntax for sub setting observations is −
IF Var Condition THEN DELETE ;
Following is the description of the parameters used −
Var is the name of the variable based on whose value the observations will be deleted using the specified condition.
Example
Consider the below SAS data set containing the employee details of an organization. If we are interested only in getting the data for employees with salary greater than 700,then we use the below code.
DATA Employee; INPUT empid name $ salary DEPT $ ; DATALINES; 1 Rick 623.3 IT 2 Dan 515.2 OPS 3 Mike 611.5 IT 4 Ryan 729.1 HR 5 Gary 843.25 FIN 6 Tusar 578.6 IT 7 Pranab 632.8 OPS 8 Rasmi 722.5 FIN ; RUN; DATA OnlyDept; SET Employee; IF salary < 700 THEN DELETE; RUN; PROC PRINT DATA = OnlyDept; RUN;
When the above code is executed, we get the following output.
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