Suppose you have data consisting of 1000 variables and you need to impute missing values with mean/median. You can do it easily with PROC STDIZE.
If you want to replace missing values with 0 or any number
proc stdize data=develop1 reponly missing=0 out=imputed;
proc stdize data= test out= result method=mean reponly;
var X1-X1000 ;
run;
By specifying the REPONLY option, the STDIZE procedure does not standardize the numeric variables; it replaces the missing values with the METHOD= statistic.
Other Useful METHOD= statistic options
- MEDIAN
- MIDRANGE
- IQR
- MAXABS : Maximum Absolute Value
- STD : Standard Deviation
If you want to replace missing values with 0 or any number
proc stdize data=develop1 reponly missing=0 out=imputed;
var mortdue value yoj derog delinq clage ninq clno debtinc;
run;
Note : You cannot use MISSING and METHOD options together.
Note : You cannot use MISSING and METHOD options together.
About Author:
Deepanshu founded ListenData with a simple objective - Make analytics easy to understand and follow. He has over 10 years of experience in data science. During his tenure, he has worked with global clients in various domains like Banking, Insurance, Private Equity, Telecom and Human Resource.
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