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[apps/statistics] Added tests for all countries

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As some definitions now depend on the selected country, tests for the
statistics app now check that the right method is used for each country,
and that each method yields the correct results.

Change-Id: Ia5ad091136746f3284f7524376301fac0c582364
This commit is contained in:
Gabriel Ozouf
2020-06-29 10:19:49 +02:00
committed by Émilie Feral
parent 86f7a87d45
commit ea127cdfa9
1 changed files with 99 additions and 36 deletions
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135
apps/statistics/test/store.cpp
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@@ -1,4 +1,6 @@
#include <quiz.h>
#include <apps/i18n.h>
#include <apps/global_preferences.h>
#include <assert.h>
#include <math.h>
#include <cmath>
@@ -16,7 +18,33 @@ void assert_value_approximately_equal_to(double d1, double d2, double precision,
|| IsApproximatelyEqual(d1, d2, precision, reference));
}
void assert_data_statictics_equal_to(double v[], double n[], int numberOfData, double trueSumOfOccurrences, double trueMaxValue, double trueMinValue, double trueRange, double trueMean, double trueVariance, double trueStandardDeviation, double trueSampleStandardDeviation, double trueFirstQuartile, double trueThirdQuartile, double trueQuartileRange, double trueMedian, double trueSum, double trueSquaredValueSum) {
/* SublistMethod is the method for computing quartiles used in most
* countries, which defines quartiles as the medians of the left and right
* subsets of data.
* FrequencyMethod is the method used in France and Italy, which defines the
* quartiles as the 25th and 75th percentile, in terms of cumulated
* frequencies. */
void assert_data_statictics_equal_to(
double v[],
double n[],
int numberOfData,
double trueSumOfOccurrences,
double trueMaxValue,
double trueMinValue,
double trueRange,
double trueMean,
double trueVariance,
double trueStandardDeviation,
double trueSampleStandardDeviation,
double trueFirstQuartileSublistMethod,
double trueThirdQuartileSublistMethod,
double trueQuartileRangeSublistMethod,
double trueFirstQuartileFrequencyMethod,
double trueThirdQuartileFrequencyMethod,
double trueQuartileRangeFrequencyMethod,
double trueMedian,
double trueSum,
double trueSquaredValueSum) {
Store store;
int seriesIndex = 0;
@@ -28,7 +56,6 @@ void assert_data_statictics_equal_to(double v[], double n[], int numberOfData, d
double precision = 1e-3;
// Compare the statistics
double sumOfOccurrences = store.sumOfOccurrences(seriesIndex);
double maxValue = store.maxValue(seriesIndex);
double minValue = store.minValue(seriesIndex);
@@ -37,9 +64,6 @@ void assert_data_statictics_equal_to(double v[], double n[], int numberOfData, d
double variance = store.variance(seriesIndex);
double standardDeviation = store.standardDeviation(seriesIndex);
double sampleStandardDeviation = store.sampleStandardDeviation(seriesIndex);
double firstQuartile = store.firstQuartile(seriesIndex);
double thirdQuartile = store.thirdQuartile(seriesIndex);
double quartileRange = store.quartileRange(seriesIndex);
double median = store.median(seriesIndex);
double sum = store.sum(seriesIndex);
double squaredValueSum = store.squaredValueSum(seriesIndex);
@@ -49,9 +73,9 @@ void assert_data_statictics_equal_to(double v[], double n[], int numberOfData, d
quiz_assert(variance >= 0.0);
quiz_assert(standardDeviation >= 0.0);
quiz_assert(sampleStandardDeviation >= 0.0);
quiz_assert(quartileRange >= 0.0);
quiz_assert(squaredValueSum >= 0.0);
// Compare the statistics
double reference = trueSquaredValueSum;
assert_value_approximately_equal_to(variance, trueVariance, precision, reference);
assert_value_approximately_equal_to(squaredValueSum, trueSquaredValueSum, precision, reference);
@@ -62,8 +86,6 @@ void assert_data_statictics_equal_to(double v[], double n[], int numberOfData, d
assert_value_approximately_equal_to(mean, trueMean, precision, reference);
assert_value_approximately_equal_to(standardDeviation, trueStandardDeviation, precision, reference);
assert_value_approximately_equal_to(sampleStandardDeviation, trueSampleStandardDeviation, precision, reference);
assert_value_approximately_equal_to(firstQuartile, trueFirstQuartile, precision, reference);
assert_value_approximately_equal_to(thirdQuartile, trueThirdQuartile, precision, reference);
assert_value_approximately_equal_to(median, trueMedian, precision, reference);
assert_value_approximately_equal_to(sum, trueSum, precision, reference);
@@ -71,7 +93,21 @@ void assert_data_statictics_equal_to(double v[], double n[], int numberOfData, d
assert_value_approximately_equal_to(maxValue, trueMaxValue, 0.0, 0.0);
assert_value_approximately_equal_to(minValue, trueMinValue, 0.0, 0.0);
assert_value_approximately_equal_to(range, trueRange, 0.0, 0.0);
assert_value_approximately_equal_to(quartileRange, trueQuartileRange, 0.0, 0.0);
// Compare the country specific statistics
I18n::Country country;
double quartileRange;
bool shouldUseFrequencyMethod;
for (int c = 0; c < I18n::NumberOfCountries; c++) {
country = static_cast<I18n::Country>(c);
GlobalPreferences::sharedGlobalPreferences()->setCountry(country);
quartileRange = store.quartileRange(seriesIndex);
quiz_assert(quartileRange >= 0.0);
shouldUseFrequencyMethod = country == I18n::Country::FR || country == I18n::Country::IT;
assert_value_approximately_equal_to(store.firstQuartile(seriesIndex), shouldUseFrequencyMethod ? trueFirstQuartileFrequencyMethod : trueFirstQuartileSublistMethod, precision, reference);
assert_value_approximately_equal_to(store.thirdQuartile(seriesIndex), shouldUseFrequencyMethod ? trueThirdQuartileFrequencyMethod : trueThirdQuartileSublistMethod, precision, reference);
assert_value_approximately_equal_to(quartileRange, shouldUseFrequencyMethod ? trueQuartileRangeFrequencyMethod : trueQuartileRangeSublistMethod, 0.0, 0.0);
}
}
QUIZ_CASE(data_statistics) {
@@ -94,9 +130,12 @@ QUIZ_CASE(data_statistics) {
/* variance */ 1.25,
/* standardDeviation */ 1.118,
/* sampleStandardDeviation */ 1.291,
/* firstQuartile */ 1.0,
/* thirdQuartile */ 3.0,
/* quartileRange */ 2.0,
/* firstQuartileSublistMethod */ 1.5,
/* thirdQuartileSublistMethod */ 3.5,
/* quartileRangeSublistMethod */ 2.0,
/* firstQuartileFrequencyMethod */ 1.0,
/* thirdQuartileFrequencyMethod */ 3.0,
/* quartileRangeFrequencyMethod */ 2.0,
/* median */ 2.5,
/* sum */ 10.0,
/* squaredValueSum */ 30.0);
@@ -120,9 +159,12 @@ QUIZ_CASE(data_statistics) {
/* variance */ 10.0,
/* standardDeviation */ 3.1623,
/* sampleStandardDeviation */ 3.3166,
/* firstQuartile */ 3.0,
/* thirdQuartile */ 9.0,
/* quartileRange */ 6.0,
/* firstQuartileSublistMethod */ 3.0,
/* thirdQuartileSublistMethod */ 9.0,
/* quartileRangeSublistMethod */ 6.0,
/* firstQuartileFrequencyMethod */ 3.0,
/* thirdQuartileFrequencyMethod */ 9.0,
/* quartileRangeFrequencyMethod */ 6.0,
/* median */ 6.0,
/* sum */ 66.0,
/* squaredValueSum */ 506.0);
@@ -145,9 +187,12 @@ QUIZ_CASE(data_statistics) {
/* variance */ 11.917,
/* standardDeviation */ 3.4521,
/* sampleStandardDeviation */ 3.6056,
/* firstQuartile */ 3.0,
/* thirdQuartile */ 9.0,
/* quartileRange */ 6.0,
/* firstQuartileSublistMethod */ 3.5,
/* thirdQuartileSublistMethod */ 9.5,
/* quartileRangeSublistMethod */ 6.0,
/* firstQuartileFrequencyMethod */ 3.0,
/* thirdQuartileFrequencyMethod */ 9.0,
/* quartileRangeFrequencyMethod */ 6.0,
/* median */ 6.5,
/* sum */ 78.0,
/* squaredValueSum */ 650.0);
@@ -170,9 +215,12 @@ QUIZ_CASE(data_statistics) {
/* variance */ 15.6082,
/* standardDeviation */ 3.9507,
/* sampleStandardDeviation */ INFINITY,
/* firstQuartile */ 2.0,
/* thirdQuartile */ 10.0,
/* quartileRange */ 8.0,
/* firstQuartileSublistMethod */ 2.0,
/* thirdQuartileSublistMethod */ 10.0,
/* quartileRangeSublistMethod */ 8.0,
/* firstQuartileFrequencyMethod */ 2.0,
/* thirdQuartileFrequencyMethod */ 10.0,
/* quartileRangeFrequencyMethod */ 8.0,
/* median */ 3.0,
/* sum */ 5.6995,
/* squaredValueSum */ 48.0925);
@@ -195,9 +243,12 @@ QUIZ_CASE(data_statistics) {
/* variance */ 10.06,
/* standardDeviation */ 3.1719,
/* sampleStandardDeviation */ 4.2947,
/* firstQuartile */ 3.0,
/* thirdQuartile */ 5.0,
/* quartileRange */ 2.0,
/* firstQuartileSublistMethod */ 3.0,
/* thirdQuartileSublistMethod */ 5.0,
/* quartileRangeSublistMethod */ 2.0,
/* firstQuartileFrequencyMethod */ 3.0,
/* thirdQuartileFrequencyMethod */ 5.0,
/* quartileRangeFrequencyMethod */ 2.0,
/* median */ 3.0,
/* sum */ 10.1,
/* squaredValueSum */ 68.500);
@@ -220,9 +271,12 @@ QUIZ_CASE(data_statistics) {
/* variance */ 18.9155,
/* standardDeviation */ 4.3492,
/* sampleStandardDeviation */ 4.4492,
/* firstQuartile */ -7.0,
/* thirdQuartile */ -2.0,
/* quartileRange */ 5.0,
/* firstQuartileSublistMethod */ -7.0,
/* thirdQuartileSublistMethod */ -2.0,
/* quartileRangeSublistMethod */ 5.0,
/* firstQuartileFrequencyMethod */ -7.0,
/* thirdQuartileFrequencyMethod */ -2.0,
/* quartileRangeFrequencyMethod */ 5.0,
/* median */ -2.0,
/* sum */ -87.0,
/* squaredValueSum */ 762.0);
@@ -245,9 +299,12 @@ QUIZ_CASE(data_statistics) {
/* variance */ 0.75,
/* standardDeviation */ 0.866,
/* sampleStandardDeviation */ 1.0,
/* firstQuartile */ 1.0,
/* thirdQuartile */ 1.0,
/* quartileRange */ 0.0,
/* firstQuartileSublistMethod */ 1.0,
/* thirdQuartileSublistMethod */ 2.0,
/* quartileRangeSublistMethod */ 1.0,
/* firstQuartileFrequencyMethod */ 1.0,
/* thirdQuartileFrequencyMethod */ 1.0,
/* quartileRangeFrequencyMethod */ 0.0,
/* median */ 1.0,
/* sum */ 6.0,
/* squaredValueSum */ 12.0);
@@ -270,9 +327,12 @@ QUIZ_CASE(data_statistics) {
/* variance */ 1.0,
/* standardDeviation */ 1.0,
/* sampleStandardDeviation */ 1.414,
/* firstQuartile */ 2.0,
/* thirdQuartile */ 4.0,
/* quartileRange */ 2.0,
/* firstQuartileSublistMethod */ 2.0,
/* thirdQuartileSublistMethod */ 4.0,
/* quartileRangeSublistMethod */ 2.0,
/* firstQuartileFrequencyMethod */ 2.0,
/* thirdQuartileFrequencyMethod */ 4.0,
/* quartileRangeFrequencyMethod */ 2.0,
/* median */ 3.0,
/* sum */ 6.0,
/* squaredValueSum */ 20.0);
@@ -295,9 +355,12 @@ QUIZ_CASE(data_statistics) {
/* variance */ 0.0,
/* standardDeviation */ 0.0,
/* sampleStandardDeviation */ 0.0,
/* firstQuartile */ -996.85840734641,
/* thirdQuartile */ -996.85840734641,
/* quartileRange */ 0.0,
/* firstQuartileSublistMethod */ -996.85840734641,
/* thirdQuartileSublistMethod */ -996.85840734641,
/* quartileRangeSublistMethod */ 0.0,
/* firstQuartileFrequencyMethod */ -996.85840734641,
/* thirdQuartileFrequencyMethod */ -996.85840734641,
/* quartileRangeFrequencyMethod */ 0.0,
/* median */ -996.85840734641,
/* sum */ -8971.72566611769,
/* squaredValueSum */ 8943540.158675);