Example 3 for PROC QUANTSELECT
/****************************************************************/
/* S A S S A M P L E L I B R A R Y */
/* */
/* NAME: qrsex3 */
/* TITLE: Example 3 for PROC QUANTSELECT */
/* DESC: Pollution and Mortality */
/* REF: Gunst, R. and Mason, R. (1980) */
/* */
/* PRODUCT: STAT */
/* SYSTEM: ALL */
/* KEYS: Quantile Regression Model Selection */
/* PROCS: QUANTSELECT */
/* */
/* SUPPORT: Yonggang Yao */
/****************************************************************/
data mortality;
input index aap ajant ajult size65 nph nsch25 nfek ppsm snwp nowk nin3k
hpi nopi sdpi datm DeathRate;
label index="the index"
aap="Average Annual Precipitation"
ajant="Average January Temperature"
ajult="Average July Temperature"
size65="Size of Population older than 65"
nph="Number of Members per Household"
nsch25="Number of Years of Schooling for Persons over 25"
nfek="Number of Households with fully Equipped Kitchens"
ppsm="Population per Square Mile"
snwp="Size of the Nonwhite Population"
nowk="Number of Office Workers"
nin3k="Number of Families with an Income less than $3000"
hpi="Hydrocarbon Pollution Index"
nopi="Nitric Oxide Pollution Index"
sdpi="Sulfur Dioxide Pollution Index"
datm="Degree of Atmospheric Moisture"
DeathRate="Age-Adjusted Death Rate: Deaths per 100,000 Population";
datalines;
1 36 27 71 8.1 3.34 11.4 81.5 3243 8.8 42.6 11.7 21
15 59 59 921.870
2 35 23 72 11.1 3.14 11.0 78.8 4281 3.6 50.7 14.4 8
10 39 57 997.875
3 44 29 74 10.4 3.21 9.8 81.6 4260 0.8 39.4 12.4 6
6 33 54 962.354
4 47 45 79 6.5 3.41 11.1 77.5 3125 27.1 50.2 20.6 18
8 24 56 982.291
5 43 35 77 7.6 3.44 9.6 84.6 6441 24.4 43.7 14.3 43
38 206 55 1071.289
6 53 45 80 7.7 3.45 10.2 66.8 3325 38.5 43.1 25.5 30
32 72 54 1030.380
7 43 30 74 10.9 3.23 12.1 83.9 4679 3.5 49.2 11.3 21
32 62 56 934.700
8 45 30 73 9.3 3.29 10.6 86.0 2140 5.3 40.4 10.5 6
4 4 56 899.529
9 36 24 70 9.0 3.31 10.5 83.2 6582 8.1 42.5 12.6 18
12 37 61 1001.902
10 36 27 72 9.5 3.36 10.7 79.3 4213 6.7 41.0 13.2 12
7 20 59 912.347
11 52 42 79 7.7 3.39 9.6 69.2 2302 22.2 41.3 24.2 18
8 27 56 1017.613
12 33 26 76 8.6 3.20 10.9 83.4 6122 16.3 44.9 10.7 88
63 278 58 1024.885
13 40 34 77 9.2 3.21 10.2 77.0 4101 13.0 45.7 15.1 26
26 146 57 970.467
14 35 28 71 8.8 3.29 11.1 86.3 3042 14.7 44.6 11.4 31
21 64 60 985.950
15 37 31 75 8.0 3.26 11.9 78.4 4259 13.1 49.6 13.9 23
9 15 58 958.839
16 35 46 85 7.1 3.22 11.8 79.9 1441 14.8 51.2 16.1 1
1 1 54 860.101
17 36 30 75 7.5 3.35 11.4 81.9 4029 12.4 44.0 12.0 6
4 16 58 936.234
18 15 30 73 8.2 3.15 12.2 84.2 4824 4.7 53.1 12.7 17
8 28 38 871.766
19 31 27 74 7.2 3.44 10.8 87.0 4834 15.8 43.5 13.6 52
35 124 59 959.221
20 30 24 72 6.5 3.53 10.8 79.5 3694 13.1 33.8 12.4 11
4 11 61 941.181
21 31 45 85 7.3 3.22 11.4 80.7 1844 11.5 48.1 18.5 1
1 1 53 891.708
22 31 24 72 9.0 3.37 10.9 82.8 3226 5.1 45.2 12.3 5
3 10 61 871.338
23 42 40 77 6.1 3.45 10.4 71.8 2269 22.7 41.4 19.5 8
3 5 53 971.122
24 43 27 72 9.0 3.25 11.5 87.1 2909 7.2 51.6 9.5 7
3 10 56 887.466
25 46 55 84 5.6 3.35 11.4 79.7 2647 21.0 46.9 17.9 6
5 1 59 952.529
26 39 29 76 8.7 3.23 11.4 78.6 4412 15.6 46.6 13.2 13
7 33 60 968.665
27 35 31 81 9.2 3.10 12.0 78.3 3262 12.6 48.6 13.9 7
4 4 55 919.729
28 43 32 74 10.1 3.38 9.5 79.2 3214 2.9 43.7 12.0 11
7 32 54 844.053
29 11 53 68 9.2 2.99 12.1 90.6 4700 7.8 48.9 12.3 648
319 130 47 861.833
30 30 35 71 8.3 3.37 9.9 77.4 4474 13.1 42.6 17.7 38
37 193 57 989.265
31 50 42 82 7.3 3.49 10.4 72.5 3497 36.7 43.3 26.4 15
10 34 59 1006.490
32 60 67 82 10.0 2.98 11.5 88.6 4657 13.6 47.3 22.4 3
1 1 60 861.439
33 30 20 69 8.8 3.26 11.1 85.4 2934 5.8 44.0 9.4 33
23 125 64 929.150
34 25 12 73 9.2 3.28 12.1 83.1 2095 2.0 51.9 9.8 20
11 26 50 857.622
35 45 40 80 8.3 3.32 10.1 70.3 2682 21.0 46.1 24.1 17
14 78 56 961.009
36 46 30 72 10.2 3.16 11.3 83.2 3327 8.8 45.3 12.2 4
3 8 58 923.234
37 54 54 81 7.4 3.36 9.7 72.8 3172 31.4 45.5 24.2 20
17 1 62 1113.156
38 42 33 77 9.7 3.03 10.7 83.5 7462 11.3 48.7 12.4 41
26 108 58 994.648
39 42 32 76 9.1 3.32 10.5 87.5 6092 17.5 45.3 13.2 29
32 161 54 1015.023
40 36 29 72 9.5 3.32 10.6 77.6 3437 8.1 45.5 13.8 45
59 263 56 991.290
41 37 38 67 11.3 2.99 12.0 81.5 3387 3.6 50.3 13.5 56
21 44 73 893.991
42 42 29 72 10.7 3.19 10.1 79.5 3508 2.2 38.3 15.7 6
4 18 56 938.500
43 41 33 77 11.2 3.08 9.6 79.9 4843 2.7 38.6 14.1 11
11 89 54 946.185
44 44 39 78 8.2 3.32 11.0 79.9 3768 28.6 49.5 17.5 12
9 48 53 1025.502
45 32 25 72 10.9 3.21 11.1 82.5 4355 5.0 46.4 10.8 7
4 18 60 874.281
46 34 32 79 9.3 3.23 9.7 76.8 5160 17.2 45.1 15.3 31
15 68 57 953.560
47 10 55 70 7.3 3.11 12.1 88.9 3033 5.9 51.0 14.0 144
66 20 61 839.709
48 18 48 63 9.2 2.92 12.2 87.7 4253 13.7 51.2 12.0 311
171 86 71 911.701
49 13 49 68 7.0 3.36 12.2 90.7 2702 3.0 51.9 9.7 105
32 3 71 790.733
50 35 40 64 9.6 3.02 12.2 82.5 3626 5.7 54.3 10.1 20
7 20 72 899.264
51 45 28 74 10.6 3.21 11.1 82.6 1883 3.4 41.9 12.3 5
4 20 56 904.155
52 38 24 72 9.8 3.34 11.4 78.0 4923 3.8 50.5 11.1 8
5 25 61 950.672
53 31 26 73 9.3 3.22 10.7 81.3 3249 9.5 43.9 13.6 11
7 25 59 972.464
54 40 23 71 11.3 3.28 10.3 73.8 1671 2.5 47.4 13.5 5
2 11 60 912.202
55 41 37 78 6.2 3.25 12.3 89.5 5308 25.9 59.7 10.3 65
28 102 52 967.803
56 28 32 81 7.0 3.27 12.1 81.0 3665 7.5 51.6 13.2 4
2 1 54 823.764
57 45 33 76 7.7 3.39 11.3 82.2 3152 12.1 47.3 10.9 14
11 42 56 1003.502
58 45 24 70 11.8 3.25 11.1 79.8 3678 1.0 44.8 14.0 7
3 8 56 895.696
59 42 83 76 9.7 3.22 9.0 76.2 9699 4.8 42.2 14.5 8
8 49 54 911.817
60 38 28 72 8.9 3.48 10.7 79.8 3451 11.7 37.5 13.0 14
13 39 58 954.442
;
ods graphics on;
proc quantselect data=Mortality seed=800 plots=all;
partition fraction(validate=0.3);
model DeathRate = aap aap*aap ajant ajant*ajant ajult
ajult*ajult size65 size65*size65 nph nph*nph nsch25
nsch25*nsch25 nfek nfek*nfek ppsm ppsm*ppsm snwp snwp*snwp
nowk nowk*nowk nin3k nin3k*nin3k hpi hpi*hpi nopi
nopi*nopi sdpi sdpi*sdpi datm datm*datm
/ quantile=0.5 selection=forward(choose=val sh=8) hier=single;
output out=OutData p=Pred;
run;
proc print data=OutData(obs=10); run;
