I have an interesting case where all values of -5 in my dataset should be set to missing. I don't want to have to do this for every variable separately, is there way to recode all instances of -5 in the dataset as missing or .S? Any help would be greatly appreciated. This came about from the way a QDS interview was programmed for skipped questions. Thank you in advance!
At this point you may want something like:
data want;
set have;
array n _numeric-;
do _i_=1 to dim(n);
if n[_i_] = -5 then n[_i_] = .;
end;
run;
At this point you may want something like:
data want;
set have;
array n _numeric-;
do _i_=1 to dim(n);
if n[_i_] = -5 then n[_i_] = .;
end;
run;
Do I have to assign the array for all of my variables? I am a little confused by your code, whar does the n_numeric refer to? I was able to get the code to run but it did not do anything to the -5. Thank you for your reply!
looks like just a typo in ballardw's suggestion.
It should be:
array n _numeric_ ;
n is the name of the array.
_numeric_ is a special name meaning "all numeric variables".
I think your initial thought to use .S intead of . also has merit.
I just noticed the typo and got it to run, I used .S and everything seemed to work correctly. Thank you all for your suggestions.
It's finally time to hack! Remember to visit the SAS Hacker's Hub regularly for news and updates.
Learn how use the CAT functions in SAS to join values from multiple variables into a single value.
Find more tutorials on the SAS Users YouTube channel.
Ready to level-up your skills? Choose your own adventure.