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Download fact sheet. Data Step Options Data step options generally perform variable-level actions, like renaming or dropping variables from a dataset. Example: Dropping variables by name Suppose we want to create a new dataset with a variable BMI computed from the existing variables height and weight. Options in the SET statement take effect immediately.
They affect the data that we're using as a "base" or "starting point" within that data step. If you rename a variable in the SET statement, you'll use the new name in any computations or formulas within that data step.
Options in the DATA statement take place last. Think of them as "finishing touches" that take place after all of your computations within the data step are processed. If you rename a variable in the DATA statement, it won't change the variable names right away - so it won't affect syntax you put within that data step.
References SAS 9. Report a problem. Subjects: Statistical Software. Tags: statistics , tutorials. University Libraries. We can also use the argument range to select rows and columns in the spreadsheet. In the code below, we use the excel style to select the range A1 to B5. The iris dataset has 5 columns with header. We return the first four rows with header of all columns. This is verified with the dim function. We can count the number of missing values with the combination of two functions. We will import different files format with the heaven package.
We can use the following function to open different types of dataset, according to the extension of the file:. Only one argument is required within these function. We need to know the PATH where the file is stored. These three function accepts an URL as well. We use exactly the same dataset but store in. When we want to import data into R, it is useful to implement following checklist.
A SAS dataset can be viewed as a spreadsheet using the Viewtable window. To open a dataset in the Viewtable window:. You will need to close your open Viewtable windows before you begin running your syntax. If you do not specify a dataset, SAS will use the most recently created dataset by default. For example, the code. Using the sample dataset, let's print the height and weight of each student rounded to the nearest whole number , grouping them by gender, and use the students' IDs in place of the observation numbers.
The BY statement specifies that we want to group the printed output by the levels of variable Gender. The ID statement specifies that variable StudentID should be printed instead of the observation number. Because we are only interested in the height and weight of each student, these two variables are specified in the VAR statement.
Note, however, that the variable given in the ID statement will automatically print, regardless of whether or not it is listed in the VAR statement. Specifically, it says that the values should be no wider than three characters, and should have no decimal places.
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