mirror of
https://github.com/UpsilonNumworks/Upsilon.git
synced 2026-01-19 00:37:25 +01:00
208 lines
6.5 KiB
C++
208 lines
6.5 KiB
C++
#include <quiz.h>
|
|
#include <assert.h>
|
|
#include <math.h>
|
|
#include "../store.h"
|
|
|
|
namespace Statistics {
|
|
|
|
void assert_value_approximately_equal_to(double d1, double d2) {
|
|
assert(d1 == d2 || fabs(d1-d2) < 0.001);
|
|
}
|
|
|
|
void assert_data_statictics_equal_to(double n[], double v[], int numberOfData, double sumOfOccurrences, double maxValue, double minValue, double range, double mean, double variance, double standardDeviation, double sampleStandardDeviation, double firstQuartile, double thirdQuartile, double quartileRange, double median, double sum, double squaredValueSum) {
|
|
Store store;
|
|
int seriesIndex = 0;
|
|
|
|
// Set the data in the store
|
|
for (int i = 0; i < numberOfData; i++) {
|
|
store.set(n[i], seriesIndex, 0, i);
|
|
store.set(v[i], seriesIndex, 1, i);
|
|
}
|
|
|
|
// Compare the statistics
|
|
assert_value_approximately_equal_to(standardDeviation * standardDeviation, variance);
|
|
assert_value_approximately_equal_to(store.sumOfOccurrences(seriesIndex), sumOfOccurrences);
|
|
assert_value_approximately_equal_to(store.maxValue(seriesIndex), maxValue);
|
|
assert_value_approximately_equal_to(store.minValue(seriesIndex), minValue);
|
|
assert_value_approximately_equal_to(store.range(seriesIndex), range);
|
|
assert_value_approximately_equal_to(store.mean(seriesIndex), mean);
|
|
assert_value_approximately_equal_to(store.variance(seriesIndex), variance);
|
|
assert_value_approximately_equal_to(store.standardDeviation(seriesIndex), standardDeviation);
|
|
assert_value_approximately_equal_to(store.sampleStandardDeviation(seriesIndex), sampleStandardDeviation);
|
|
assert_value_approximately_equal_to(store.firstQuartile(seriesIndex), firstQuartile);
|
|
assert_value_approximately_equal_to(store.thirdQuartile(seriesIndex), thirdQuartile);
|
|
assert_value_approximately_equal_to(store.quartileRange(seriesIndex), quartileRange);
|
|
assert_value_approximately_equal_to(store.median(seriesIndex), median);
|
|
assert_value_approximately_equal_to(store.sum(seriesIndex), sum);
|
|
assert_value_approximately_equal_to(store.squaredValueSum(seriesIndex), squaredValueSum);
|
|
}
|
|
|
|
QUIZ_CASE(data_statistics) {
|
|
/* 1 2 3 4
|
|
* 1 1 1 1 */
|
|
double n1[4] = {1.0, 2.0, 3.0, 4.0};
|
|
double v1[4] = {1.0, 1.0, 1.0, 1.0};
|
|
assert_data_statictics_equal_to(
|
|
n1,
|
|
v1,
|
|
4,
|
|
/* sumOfOccurrences */ 4.0,
|
|
/* maxValue */ 4.0,
|
|
/* minValue */ 1.0,
|
|
/* range */ 3.0,
|
|
/* mean */ 2.5,
|
|
/* variance */ 1.25,
|
|
/* standardDeviation */ 1.118,
|
|
/* sampleStandardDeviation */ 1.291,
|
|
/* firstQuartile */ 1.0,
|
|
/* thirdQuartile */ 3.0,
|
|
/* quartileRange */ 2.0,
|
|
/* median */ 2.5,
|
|
/* sum */ 10.0,
|
|
/* squaredValueSum */ 30.0);
|
|
|
|
|
|
/* 1 2 3 4 5 6 7 8 9 10 11
|
|
* 1 1 1 1 1 1 1 1 1 1 1 */
|
|
|
|
double n2[11] = {1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0};
|
|
double v2[11] = {1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0};
|
|
assert_data_statictics_equal_to(
|
|
n2,
|
|
v2,
|
|
11,
|
|
/* sumOfOccurrences */ 11.0,
|
|
/* maxValue */ 11.0,
|
|
/* minValue */ 1.0,
|
|
/* range */ 10.0,
|
|
/* mean */ 6.0,
|
|
/* variance */ 10.0,
|
|
/* standardDeviation */ 3.1623,
|
|
/* sampleStandardDeviation */ 3.3166,
|
|
/* firstQuartile */ 3.0,
|
|
/* thirdQuartile */ 9.0,
|
|
/* quartileRange */ 6.0,
|
|
/* median */ 6.0,
|
|
/* sum */ 66.0,
|
|
/* squaredValueSum */ 506.0);
|
|
|
|
/* 1 2 3 4 5 6 7 8 9 10 11 12
|
|
* 1 1 1 1 1 1 1 1 1 1 1 1 */
|
|
|
|
double n3[12] = {1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0};
|
|
double v3[12] = {1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0};
|
|
assert_data_statictics_equal_to(
|
|
n3,
|
|
v3,
|
|
12,
|
|
/* sumOfOccurrences */ 12.0,
|
|
/* maxValue */ 12.0,
|
|
/* minValue */ 1.0,
|
|
/* range */ 11.0,
|
|
/* mean */ 6.5,
|
|
/* variance */ 11.917,
|
|
/* standardDeviation */ 3.4521,
|
|
/* sampleStandardDeviation */ 3.6056,
|
|
/* firstQuartile */ 3.0,
|
|
/* thirdQuartile */ 9.0,
|
|
/* quartileRange */ 6.0,
|
|
/* median */ 6.5,
|
|
/* sum */ 78.0,
|
|
/* squaredValueSum */ 650.0);
|
|
|
|
/* 1 2 3 5 10
|
|
* 0.2 0.05 0.3 0.0001 0.4499 */
|
|
double n4[5] = {1.0, 2.0, 3.0, 5.0, 10.0};
|
|
double v4[5] = {0.2, 0.05, 0.3, 0.0001, 0.4499};
|
|
assert_data_statictics_equal_to(
|
|
n4,
|
|
v4,
|
|
5,
|
|
/* sumOfOccurrences */ 1.0,
|
|
/* maxValue */ 10.0,
|
|
/* minValue */ 1.0,
|
|
/* range */ 9.0,
|
|
/* mean */ 5.6995,
|
|
/* variance */ 15.6082,
|
|
/* standardDeviation */ 3.9507,
|
|
/* sampleStandardDeviation */ INFINITY,
|
|
/* firstQuartile */ 2.0,
|
|
/* thirdQuartile */ 10.0,
|
|
/* quartileRange */ 8.0,
|
|
/* median */ 3.0,
|
|
/* sum */ 5.6995,
|
|
/* squaredValueSum */ 48.0925);
|
|
|
|
/* 1 -2 3 5 10
|
|
* 0.4 0.00005 0.9 0.4 0.5 */
|
|
double n5[5] = {1.0, -2.0, 3.0, 5.0, 10.0};
|
|
double v5[5] = {0.4, 0.00005, 0.9, 0.4, 0.5};
|
|
assert_data_statictics_equal_to(
|
|
n5,
|
|
v5,
|
|
5,
|
|
/* sumOfOccurrences */ 2.2,
|
|
/* maxValue */ 10.0,
|
|
/* minValue */ -2.0,
|
|
/* range */ 12.0,
|
|
/* mean */ 4.5908,
|
|
/* variance */ 10.06,
|
|
/* standardDeviation */ 3.1719,
|
|
/* sampleStandardDeviation */ 4.2947,
|
|
/* firstQuartile */ 3.0,
|
|
/* thirdQuartile */ 5.0,
|
|
/* quartileRange */ 2.0,
|
|
/* median */ 3.0,
|
|
/* sum */ 10.1,
|
|
/* squaredValueSum */ 68.500);
|
|
|
|
/* -7 -10 12 5 -2
|
|
* 4 5 3 1 9 */
|
|
double n6[6] = {-7.0, -10.0, 1.0, 2.0, 5.0, -2.0};
|
|
double v6[6] = {4.0, 5.0, 3.0, 0.5, 1.0, 9.0};
|
|
assert_data_statictics_equal_to(
|
|
n6,
|
|
v6,
|
|
6,
|
|
/* sumOfOccurrences */ 22.5,
|
|
/* maxValue */ 5.0,
|
|
/* minValue */ -10.0,
|
|
/* range */ 15.0,
|
|
/* mean */ -3.8667,
|
|
/* variance */ 18.9155,
|
|
/* standardDeviation */ 4.3492,
|
|
/* sampleStandardDeviation */ 4.4492,
|
|
/* firstQuartile */ -7.0,
|
|
/* thirdQuartile */ -2.0,
|
|
/* quartileRange */ 5.0,
|
|
/* median */ -2.0,
|
|
/* sum */ -87.0,
|
|
/* squaredValueSum */ 762.0);
|
|
|
|
/* 1 1 1 10 3 -1 3
|
|
* 1 1 1 0 0 0 1 */
|
|
double n7[7] = {1.0, 1.0, 1.0, 10.0, 3.0, -1.0, 3.0};
|
|
double v7[7] = {1.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0};
|
|
assert_data_statictics_equal_to(
|
|
n7,
|
|
v7,
|
|
7,
|
|
/* sumOfOccurrences */ 4.0,
|
|
/* maxValue */ 3.0,
|
|
/* minValue */ 1.0,
|
|
/* range */ 2.0,
|
|
/* mean */ 1.5,
|
|
/* variance */ 0.75,
|
|
/* standardDeviation */ 0.866,
|
|
/* sampleStandardDeviation */ 1.0,
|
|
/* firstQuartile */ 1.0,
|
|
/* thirdQuartile */ 1.0,
|
|
/* quartileRange */ 0.0,
|
|
/* median */ 1.0,
|
|
/* sum */ 6.0,
|
|
/* squaredValueSum */ 12.0);
|
|
|
|
}
|
|
|
|
}
|