Example 79.3 Custom Scoring Coefficients
This example uses a specially created custom scoring data set and produces Output 79.3.1 and Output 79.3.2. The first scoring coefficient creates a variable that is AgeWeight; the second scoring coefficient evaluates the variable RunPulseRstPulse; 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 79.1) are not standardized before scoring.
The following statements produce Output 79.3.1 and Output 79.3.2:
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 79.3.1
Custom Scoring Data Set and Scored Fitness Data: PROC PRINT
SCORE |
AGE_WGT |
1 |
-1 |
0 |
0 |
0 |
SCORE |
RUN_RST |
0 |
0 |
0 |
1 |
-1 |
SCORE |
TOTAL |
1 |
1 |
1 |
1 |
1 |
Output 79.3.2
Custom Scored Fitness Data: PROC PRINT
44 |
89.47 |
44.609 |
11.37 |
62 |
178 |
-45.47 |
116 |
384.84 |
40 |
75.07 |
45.313 |
10.07 |
62 |
185 |
-35.07 |
123 |
372.14 |
44 |
85.84 |
54.297 |
8.65 |
45 |
156 |
-41.84 |
111 |
339.49 |
42 |
68.15 |
59.571 |
8.17 |
40 |
166 |
-26.15 |
126 |
324.32 |
38 |
89.02 |
49.874 |
9.22 |
55 |
178 |
-51.02 |
123 |
369.24 |
47 |
77.45 |
44.811 |
11.63 |
58 |
176 |
-30.45 |
118 |
370.08 |
40 |
75.98 |
45.681 |
11.95 |
70 |
176 |
-35.98 |
106 |
373.93 |
43 |
81.19 |
49.091 |
10.85 |
64 |
162 |
-38.19 |
98 |
361.04 |
44 |
81.42 |
39.442 |
13.08 |
63 |
174 |
-37.42 |
111 |
375.50 |
38 |
81.87 |
60.055 |
8.63 |
48 |
170 |
-43.87 |
122 |
346.50 |
44 |
73.03 |
50.541 |
10.13 |
45 |
168 |
-29.03 |
123 |
340.16 |
45 |
87.66 |
37.388 |
14.03 |
56 |
186 |
-42.66 |
130 |
388.69 |
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