1. PROC MEANS dramatically simplifies creation of multiple output SAS data sets in a single use of PROC MEANS.
   
   Example:
   

   Data A B C:
   SET NEW;
   IF _TYPE_ = '1001'B then OUTPUT A;
   ELSE IF _TYPE_ = '1011'B
   then OUTPUT B;
   ELSE IF _TYPE_ = '0110'B then
   OUTPUT 'C';
   RUN;

2.  New OUTPUT statement option combines and extends the features of the ID statement, the IDMIN option in the PROC MEANS statement and the MAXID and MINID options in the Output statement so that you can create an output data set containing variables identifying multiple extreme values of the analysis variables.

data gains;
    input name $ sex $ height  weight  school $  time;
cards;
Alfred  M 69.0 122.5 AJH  1
Alfred  M 71.0 130.5 AJH  2
Alicia  F 56.5  84.0 BJH  1
Alicia  F 60.5  86.9 BJH  2
Benicia F 65.3  98.0 BJH  1
Benicia F 69.3  99.1 BJH  2
Bennett F 63.2  96.2 AJH  1
Bennett F 69.2  98.2 AJH  2
Carol   F 62.8 102.5 BJH  1
Carol   F 65.3 105.4 BJH  2
Carlos  M 63.7 102.9 AJH  1
Carlos  M 70.3 106.9 AJH  2
Henry   M 63.5 102.5 AJH  1
Henry   M 68.9 108.6 AJH  2
Jaime   M 57.3  86.0 BJH  1
Jaime   M 62.9  90.0 BJH  2
Janet   F 59.8  84.5 AJH  1
Janet   F 62.5  86.5 AJH  2
Jean    M 68.2 113.4 AJH  1
Jean    M 70.3 116.0 AJH  2
Joyce   M 51.3  50.5 BJH  1
Joyce   M 55.5  53.5 BJH  2
Luc     M 66.3  77.0 AJH  1
Luc     M 69.3  82.9 AJH  2
Marie   F 66.5 112.0 BJH  1
Marie   F 69.5 114.9 BJH  2
Medford M 64.9 114.0 AJH  1
Medford M  .     .    .   .
Philip  M 69.0 115.0 AJH  1
Philip  M 70.0 118.0 AJH  2
Robert  M 64.8 128.0 BJH  1
Robert  M 68.3   .   BJH  2
Thomas  M 57.5  85.0 AJH  1
Thomas  M 59.1  92.3 AJH  2
Wakana  F 61.3  99.0 AJH  1
Wakana  F 63.8 102.9 AJH  2
William M 66.5 112.0 BJH  1
William M 68.3 118.2 BJH  2
;
proc means data=gains;
   var height weight;
   class sex;
   output out=test
           max=maxht maxwght
           maxid(height(name) weight(name))=tallest heaviest
		   minid(height(name) weight(name))=smallest easiest

run;