Finding Deciles of Multiple Variables

[RandyStan]

Dear All:

   I want to get decile groups of multiple variables

The code I am using is 

Proc sort data = have ; by M ; run;

Data Want; set Have NOBS = NUMOBS ;

Decile_M = FLOOR(_N_*10 /(NUMOBS + 1)) ;

run;

But I want these deciles for at least 10 more variables.  I can find the deciles one variable at a time.  Is there an efficient way of constructing the deciles.

Thanx.

 Randy

[PaigeMiller]

PROC RANK with the GROUPS=10 option if you want to assign observations to Deciles.

PROC UNIVARIATE if you just want the decile values.

[Nicole_Fox]

PROC Rank is one of the fastest ways to create deciles in a batch. (The groups=10 option requests the deciles.)

proc rank data=have out=deciles ties=low descending groups=10;
        var M;
        ranks M_score;
run; 

I use this paper when I need to grab code to do this myself:

https://www.lexjansen.com/nesug/nesug09/ap/AP01.pdf

[ballardw]

Proc summary will calculate the overall quantiles.

Example:

proc summary data=have;
   var v1 v2 v3;
   output out=work.summary
      p10= p20= p30= p40= p50= p60= p70= p80= p90= /autoname;
run;

Will create the percentiles indicated. The variables will be named v1_<suffix of the percentile>.

Put the variables you want on the var statement. Or don't and you will get percentiles of all the numeric variables. There is a technical concern about which definition may be used for the quantiles whic is controlled by the option QNTLDEF= <a value from 1 to 5>. The default is 5. The details have to do with boundaries for the quantiles and tie breakers.

If you want to know which decile a particular value falls into use Proc Rank with groups=10. Which will add a ranking variable with values of 0 to 9, 0 indicating the value is in the first decile and 9 in the 10th decile.

proc rank data=have out=want groups=10;
   var v1 v2 v3;
   ranks rv1 rv2 rv3;
run;

The output data set will have the decile for v1 indicated in the variable rv1 and so forth.

There is an option for the procedure TIES= that has parameter values of high, low, mean or dense which deals with how to assign ranks for tied values. The default is MEAN