Web6 aug. 2024 · If you want to remove ALL rows with ANY missing values, you can use the NMISS functions below. data test3; set test; if nmiss( of _numeric_) > 0 then delete; run; … WebExample 1: Using the DELETE Statement as Part of an IF-THEN Statement. When the value of LEAFWT is missing, the current observation is deleted: if leafwt=. then delete; …
SAS Missing Values: Everything You Need To Know - 9TO5SAS
Web29 jan. 2015 · if statement: in SAS any numeric value is greater than missing, so any case where the maximum is missing implies all values of q are missing. The max(of q[*]) syntax simply brings back the maximum of all (* used to denote all) elements of the array q. delete removes the qualifying observations before they can be loaded to the output dataset. Web13 jul. 2016 · Put all relevant variables in an array and count the number of NON missing values. Output all rows with one or more non-missing values. data want; set df; array varlist B -- D; do over varlist; not_missing = sum (not_missing, ^missing (varlist)); end; if not_missing > 0 and ^missing (A) then output; run; Share Improve this answer Follow irs announcement 84-40
Missing data in SAS SAS Learning Modules - University …
WebSAS assigns missing values to prevent problems from arising. If you use a missing value in an arithmetic calculation, SAS sets the result of that calculation to missing. Then, if you use that result in another calculation, the next result is also missing. This action is called propagation of missing values. Web14 jan. 2024 · Example 1: Delete Rows Based on One Condition. The following code shows how to delete all rows from the dataset where team is equal to “A.”. /*create new dataset*/ data new_data; set original_data; if team = "A" then delete; run; /*view new dataset*/ proc print data=new_data; Notice that all rows where team was equal to “A” have been ... portable loading dock stairs