How do you drop observations in SAS?

How do you drop observations in SAS?

To remove observations in SAS, you can use the IF statement in a DATA step. Suppose you want to exclude all observations whose scores are greater than 100.

How do I delete a row in SAS based on conditions?

Here are the three most common ways to delete rows in SAS:

  1. Method 1: Delete Rows Based on One Condition data new_data; set original_data; if var1 = “string” then delete; run;
  2. Method 2: Delete Rows Based on Several Conditions data new_data; set original_data; if var1 = “string” and var2 < 10 then delete; run;

How do you delete a function in SAS?

Use the DELETE statement when it is easier to specify a condition that excludes observations from the data set or when there is no need to continue processing the DATA step statements for the current observation. Use the subsetting IF statement when it is easier to specify a condition for including observations.

How do you exclude variables in SAS?

To exclude variables from some data sets but not from others, use the DROP= data set option in the DATA statement.

How do I drop a dataset in SAS?

Use the DELETE statement to delete one or more data sets from a SAS library. If you want to delete more than one data set, then list the names after the DELETE keyword with a blank space between the names. You can also use an abbreviated member list if applicable (such as YRDATA1-YRDATA5).

How do I delete DATA from a table in SAS?

You can use PROC SQL / DELETE or less commonly use a SAS Datastep Modify / Remove. The issue with SAS tables: The records don’t get physically removed but get just flagged as deleted. The deleted records still require all the storage space.

How do I drop a specific value in SAS?

The DROP= option tells SAS which variables you want to drop from a data set. If you place the DROP= option on the SET statement, SAS drops the specified variables when it reads the input data set.

How do I delete data from a table in SAS?

How do you keep and drop variables in SAS?

14.2 – The DROP= and KEEP= options

  1. The DROP= option tells SAS which variables you want to drop from a data set. If you place the DROP= option on the SET statement, SAS drops the specified variables when it reads the input data set.
  2. The KEEP= option tells SAS which variables you want to keep in a data set.

How do I keep only certain variables in SAS?

To write different variables to different data sets, you must use the KEEP= data set option. The DROP statement is a parallel statement that specifies variables to omit from the output data set. The KEEP and DROP statements select variables to include in or exclude from output data sets.

Can you use and in an IF-THEN statement in SAS?

Creating New Variables Using if-then;if-then-else; and if-then-else-then Statements. An if-then statement can be used to create a new variable for a selected subset of the observations. For each observation in the data set, SAS evaluates the expression following the if.

How do I delete a specific dataset from the work library in SAS?

Here are the three most common ways to delete datasets in SAS:

  1. Method 1: Delete One Dataset proc datasets library=work nolist; delete data2; quit;
  2. Method 2: Delete Multiple Datasets proc datasets library=work nolist; delete data2 data3; quit;
  3. Method 3: Delete All Datasets in Library. proc datasets library=work kill;

How do I remove data from a column in SAS?

To delete variables in SAS, you can use the DROP statement in a DATA step. Suppose you want to delete variables x1 , x2 , and x3 in SAS data set old1 and save it to a new SAS data set new1 .

How do I drop all missing values in SAS?

To remove records that have a missing value for a particular character variable, you simply need to use an IF statement to check for blanks, followed by a THEN DELETE statement.

What is if _N_ 1 in SAS?

Simply put, you have two “set” statements. The first one is encountered only on the first record (if _n_=1) and is for the data set of one record—in the example, AVGSALES. The second is the main dataset that you want to add the one observation of the first on to every observation—in the example, TOTSALES.