Example 57.3: Custom Scoring Coefficients
This example uses a specially created custom
scoring data set and produces Output 57.3.1.
The first 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 57.1)
are not standardized before scoring.
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 57.3.1: Custom Scoring Data Set and
Scored Fitness Data: PROC PRINT
CONSTRUCTED SCORING EXAMPLE |
Scoring Coefficients |
Obs |
_type_ |
_name_ |
Age |
Weight |
RunTime |
RunPulse |
RestPulse |
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 |
|
Output 57.3.2: Custom Scored Fitness Data: PROC PRINT
CONSTRUCTED SCORING EXAMPLE |
Scored Data |
Obs |
Age |
Weight |
Oxygen |
RunTime |
RestPulse |
RunPulse |
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 |
|
Copyright © 1999 by SAS Institute Inc., Cary, NC, USA. All rights reserved.