Example 64.3. Custom Scoring Coefficients


Example 64.3. Custom Scoring Coefficients

This example uses a specially created custom scoring data set and produces Output 64.3.1.Thefirst scoring coefficient creates a variable that is Age - Weight ;the second scoring coefficient evaluates the variable RunPulse - RstPulse ; and the third scoring coefficient totals all six variables . Since the scoring coefficients data set (data set A ) does not contain any observations with _TYPE_ ='MEAN' or _TYPE_ ='STD', the data in the Fitness data set (see Example 64.1) are not standardized before scoring.

Output 64.3.1: Custom Scoring Data Set and Scored Fitness Data: PROC PRINT
start example
  CONSTRUCTED SCORING EXAMPLE   Scoring Coefficients   Run     Run      Rest   Obs    _type_    _name_     Age    Weight    Time    Pulse    Pulse   1     SCORE     AGE_WGT     1   1        0       0         0   2     SCORE     RUN_RST     0        0        0       1   1   3     SCORE     TOTAL       1        1        1       1         1  
end example
 
  data A;   input _type_ $ _name_ $   Age Weight RunTime RunPulse RestPulse;   datalines;   SCORE  AGE_WGT  1 -1  0  0  0   SCORE  RUN_RST  0  0  0  1 -1   SCORE  TOTAL    1  1  1  1  1   ;   proc print data=A;   title 'CONSTRUCTED SCORING EXAMPLE';   title2 'Scoring Coefficients';   run;   proc score data=Fitness score=A out=B;   var Age Weight RunTime RunPulse RestPulse;   run;   proc print data=B;   title2 'Scored Data';   run;  
Output 64.3.2: Custom Scored Fitness Data: PROC PRINT
start example
  CONSTRUCTED SCORING EXAMPLE   Scored Data   Run     Rest    Run   Obs  Age   Weight   Oxygen    Time   Pulse   Pulse   AGE_WGT   RUN_RST    TOTAL   1   44    89.47   44.609   11.37     62     178   45.47     116     384.84   2   40    75.07   45.313   10.07     62     185   35.07     123     372.14   3   44    85.84   54.297    8.65     45     156   41.84     111     339.49   4   42    68.15   59.571    8.17     40     166   26.15     126     324.32   5   38    89.02   49.874    9.22     55     178   51.02     123     369.24   6   47    77.45   44.811   11.63     58     176   30.45     118     370.08   7   40    75.98   45.681   11.95     70     176   35.98     106     373.93   8   43    81.19   49.091   10.85     64     162   38.19      98     361.04   9   44    81.42   39.442   13.08     63     174   37.42     111     375.50   10   38    81.87   60.055    8.63     48     170   43.87     122     346.50   11   44    73.03   50.541   10.13     45     168   29.03     123     340.16   12   45    87.66   37.388   14.03     56     186   42.66     130     388.69  
end example
 



SAS.STAT 9.1 Users Guide (Vol. 6)
SAS.STAT 9.1 Users Guide (Vol. 6)
ISBN: N/A
EAN: N/A
Year: 2004
Pages: 127

flylib.com © 2008-2017.
If you may any questions please contact us: flylib@qtcs.net