public void TestTrendRequest_IsValid_True_If_Enough_Valid_Values()
{
var dataList = DataList();
// Add invalid data point after 5 more recent points
dataList.Add(new CoreDataSet
{
Value = ValueData.NullValue,
Denominator = 4,
Count = 8,
Year = 2000
});
var trendRequest = new TrendRequest()
{
UnitValue = 1,
ValueTypeId = ValueTypeIds.Proportion,
YearRange = 1,
Data = dataList
};
string validationMessage = null;
var isValid = trendRequest.IsValid(ref validationMessage);
Assert.IsTrue(isValid, validationMessage);
}
public void TestTrendRequest_IsValid_True_If_Enough_Recent_Values()
{
var trendRequest = new TrendRequest()
{
UnitValue = 1,
ValueTypeId = ValueTypeIds.Proportion,
YearRange = 1,
Data = DataList()
};
string validationMessage = null;
var isValid = trendRequest.IsValid(ref validationMessage);
Assert.IsTrue(isValid, validationMessage);
}
public void TestTrendRequestIsInvalidForYearRangeGreaterThan1()
{
var trendRequest = new TrendRequest()
{
UnitValue = 1,
ValueTypeId = ValueTypeIds.Proportion,
YearRange = 3
};
string validationMessage = null;
trendRequest.IsValid(ref validationMessage);
Assert.IsTrue(validationMessage == "The recent trend cannot be calculated for this year range");
}
public void TestTrendRequest_IsValid_False_If_Value_Invalid()
{
var dataList = DataList();
dataList[0].Value = ValueData.NullValue;
var trendRequest = new TrendRequest()
{
UnitValue = 1,
ValueTypeId = ValueTypeIds.Proportion,
YearRange = 1,
Data = dataList
};
string validationMessage = null;
trendRequest.IsValid(ref validationMessage);
Assert.AreEqual("Not enough data points with valid values to calculate recent trend", validationMessage);
}
public void TestTrendRequestIsInvalidForNonRelevantValueType()
{
var trendRequest = new TrendRequest()
{
UnitValue = 1,
ValueTypeId = ValueTypeIds.Count,
YearRange = 1
};
string validationMessage = null;
trendRequest.IsValid(ref validationMessage);
Assert.IsTrue(validationMessage == "The recent trend cannot be calculated for this value type");
}
private bool IsSignificant(TrendRequest trendRequest, ref int pointsUsed, ref double chiSquare, ref string message)
{
chiSquare = 0.0;
if (trendRequest.IsValid(ref message) == false)
{
pointsUsed = 0;
return false;
}
// Chi squared confidence
const double chiSquared99Point8 = 9.54953570608324; // inExcel =CHIINV(0.002,1)
double chiSquaredConfidence = chiSquared99Point8;
var fullDataList = trendRequest.Data.ToList();
for (int pointsToUse = MinimumNumberOfPoints; pointsToUse <= fullDataList.Count; pointsToUse++)
{
pointsUsed = pointsToUse;
double sumOfr = 0;
double sumOfn = 0;
double sumOfrAndt = 0;
double sumOfnAndt = 0;
double sumOfnAndtSq = 0;
double t = pointsUsed;
var dataList = GetMostRecentDataOrderedByIncreasingYear(fullDataList, pointsToUse);
foreach (var coreDataSet in dataList)
{
var r = coreDataSet.Count.Value;
var n = coreDataSet.Denominator;
sumOfr += r;
sumOfn += n;
sumOfrAndt += r * t;
sumOfnAndt += n * t;
sumOfnAndtSq += n * (t * t);
t--;
}
var sumPart1 = ((sumOfn * sumOfrAndt) - (sumOfr * sumOfnAndt));
chiSquare = (sumOfn * (sumPart1 * sumPart1)) /
(sumOfr * (sumOfn - sumOfr) * (sumOfn * sumOfnAndtSq - (sumOfnAndt * sumOfnAndt)));
if (chiSquare > chiSquaredConfidence)
{
return true;
}
}
return false;
}