source: PerfectFit/Dialog/src/main/java/tudelft/mentalhealth/perfectfit/Characteristics.java@ 7

Last change on this file since 7 was 7, checked in by Wouter Pasman, 9 months ago

#124 release PerfectFit sources
File size: 8.0 KB
Line 
1package tudelft.mentalhealth.perfectfit;
2
3import java.io.IOException;
4import java.util.Arrays;
5import java.util.Objects;
6
7/**
8 * Normalized characteristics of a person. Use
9 * {@link #normalize(double, double, double, double, double, double, double, double, double, double)}
10 * is you have non-normalized characterists eg from the form
11 */
12public class Characteristics {
13
14 private final double godin_activity;
15 private final double exercise_se;
16 private final double exercise_identity;
17 private final double extraversion;
18 private final double ttm_pa;
19 private final double openness;
20 private final double sitting_weekend;
21 private final double age;
22 private final double household_income;
23 private final double household_size;
24
25 /**
26 *
27 * @param godin_activity normalized godin value from the questionnaire
28 * form
29 * @param exercise_se normalized exercise_se value from the
30 * questionnaire form
31 * @param exercise_identity normalized exercise_identity value from the
32 * questionnaire form
33 * @param extraversion normalized extraversion value from the
34 * questionnaire form
35 * @param ttm_pa normalized ttm_pa value from the questionnaire
36 * form
37 * @param openness normalized openness value from the questionnaire
38 * form
39 * @param sitting_weekend normalized sitting_weekend value from the
40 * questionnaire form
41 * @param age normalized age value from the questionnaire form
42 * @param household_income normalized household_income value from the
43 * questionnaire form
44 * @param household_size normalized household_size value from the
45 * questionnaire form
46 */
47 public Characteristics(double godin_activity, double exercise_se,
48 double exercise_identity, double extraversion, double ttm_pa,
49 double openness, double sitting_weekend, double age,
50 double household_income, double household_size) throws IOException {
51 if (notnormal(godin_activity) || notnormal(exercise_se)
52 || notnormal(exercise_identity) || notnormal(extraversion)
53 || notnormal(ttm_pa) || notnormal(openness)
54 || notnormal(sitting_weekend) || notnormal(age)
55 || notnormal(household_income) || notnormal(household_size))
56 throw new IllegalArgumentException("values are not normalized");
57 this.godin_activity = godin_activity;
58 this.exercise_se = exercise_se;
59 this.exercise_identity = exercise_identity;
60 this.extraversion = extraversion;
61 this.ttm_pa = ttm_pa;
62 this.openness = openness;
63 this.sitting_weekend = sitting_weekend;
64 this.age = age;
65 this.household_income = household_income;
66 this.household_size = household_size;
67 }
68
69 /**
70 *
71 * @param godin_activity non-normalized godin value from the
72 * questionnaire form
73 * @param exercise_se non-normalized exercise_se value from the
74 * questionnaire form
75 * @param exercise_identity non-normalized exercise_identity value from the
76 * questionnaire form
77 * @param extraversion non-normalized extraversion value from the
78 * questionnaire form
79 * @param ttm_pa non-normalized ttm_pa value from the
80 * questionnaire form
81 * @param openness non-normalized openness value from the
82 * questionnaire form
83 * @param sitting_weekend non-normalized sitting_weekend value from the
84 * questionnaire form
85 * @param age non-normalized age value from the questionnaire
86 * form
87 * @param household_income non-normalized household_income value from the
88 * questionnaire form
89 * @param household_size non-normalized household_size value from the
90 * questionnaire form
91 * @throws IOException if bad values are given
92 */
93 public static Characteristics normalize(double godin_activity,
94 double exercise_se, double exercise_identity, double extraversion,
95 double ttm_pa, double openness, double sitting_weekend, double age,
96 double household_income, double household_size) throws IOException {
97 return new Characteristics(n(godin_activity, 0, 2),
98 n(exercise_se, 0, 100),
99 n(exercise_identity, 0, 3.7000000000000002),
100 n(extraversion, 0, 5.5), n(ttm_pa, 0, 4), n(openness, 0, 4),
101 n(sitting_weekend, 0, 22), n(age, 0, 52),
102 n(household_income, 0, 12), n(household_size, 0, 6));
103 }
104
105 /**
106 * @param v the value to be normalized.
107 * @param min the min expected value
108 * @param max the max expected value
109 * @return normalized value of v: (v-min)/(max-min), or 0 if v<min or 1 if
110 * v>max.
111 */
112 private static double n(double v, double min, double max) {
113 if (min >= max)
114 throw new IllegalArgumentException("min must be <max");
115 if (v < min)
116 return 0;
117 if (v > max)
118 return 1;
119 return (v - min) / (max - min);
120 }
121
122 @Override
123 public String toString() {
124 return Arrays.asList(godin_activity, exercise_se, exercise_identity,
125 extraversion, ttm_pa, openness, sitting_weekend, age,
126 household_income, household_size).toString();
127 }
128
129 /**
130 *
131 * @param other another {@link Characteristics}
132 * @return the Nele similarity to the other. Higher value means more
133 * similar. The Nele similarity is based on the regression formula
134 * reported by Nele. Note that the function is symmetrical:
135 * distance(a,b) = distance(b,a).
136 */
137 public double similarity(Characteristics other) {
138 double dage = Math.abs(age - other.age);
139 double dhousehold_income = Math
140 .abs(household_income - other.household_income);
141 double dhousehold_size = Math
142 .abs(household_size - other.household_size);
143 double dextraversion = Math.abs(extraversion - other.extraversion);
144 double dopenness = Math.abs(openness - other.openness);
145 double dttm = Math.abs(ttm_pa - other.ttm_pa);
146 double dexerciseid = Math
147 .abs(exercise_identity - other.exercise_identity);
148 double dexercisese = Math.abs(exercise_se - other.exercise_se);
149 double dsittingw = Math.abs(sitting_weekend - other.sitting_weekend);
150 double dgodin = Math.abs(godin_activity - other.godin_activity);
151
152 return 0.13887 - 0.64921 * dage + 0.76815 * dhousehold_income
153 + 0.60581 * dhousehold_size - 0.73115 * dextraversion
154 - 0.78798 * dopenness - 0.53480 * dttm - 0.44290 * dexerciseid
155 - 0.82005 * dexercisese + 0.56707 * dsittingw
156 - 0.88615 * dgodin;
157 }
158
159 private boolean notnormal(double val) {
160 return val < 0 || val > 1;
161 }
162
163 @Override
164 public int hashCode() {
165 return Objects.hash(age, exercise_identity, exercise_se, extraversion,
166 godin_activity, household_income, household_size, openness,
167 sitting_weekend, ttm_pa);
168 }
169
170 @Override
171 public boolean equals(Object obj) {
172 if (this == obj)
173 return true;
174 if (obj == null)
175 return false;
176 if (getClass() != obj.getClass())
177 return false;
178 Characteristics other = (Characteristics) obj;
179 return Double.doubleToLongBits(age) == Double
180 .doubleToLongBits(other.age)
181 && Double.doubleToLongBits(exercise_identity) == Double
182 .doubleToLongBits(other.exercise_identity)
183 && Double.doubleToLongBits(exercise_se) == Double
184 .doubleToLongBits(other.exercise_se)
185 && Double.doubleToLongBits(extraversion) == Double
186 .doubleToLongBits(other.extraversion)
187 && Double.doubleToLongBits(godin_activity) == Double
188 .doubleToLongBits(other.godin_activity)
189 && Double.doubleToLongBits(household_income) == Double
190 .doubleToLongBits(other.household_income)
191 && Double.doubleToLongBits(household_size) == Double
192 .doubleToLongBits(other.household_size)
193 && Double.doubleToLongBits(openness) == Double
194 .doubleToLongBits(other.openness)
195 && Double.doubleToLongBits(sitting_weekend) == Double
196 .doubleToLongBits(other.sitting_weekend)
197 && Double.doubleToLongBits(ttm_pa) == Double
198 .doubleToLongBits(other.ttm_pa);
199 }
200
201}
Note: See TracBrowser for help on using the repository browser.