/// <summary>
/// Initializes a new instance of the
/// <see cref="TestableCorrespondence00" /> class.
/// </summary>
TestableCorrespondence00() : base(
correspondence: Correspondence.Analyze(
data),
rowProfiles: TestableRowProfiles00.Get(),
columnProfiles: TestableColumnProfiles00.Get()
)
{
}
public void AnalyzeTest()
{
// data is null
{
string parameterName = "data";
ArgumentExceptionAssert.Throw(
() =>
{
Correspondence.Analyze(
(DoubleMatrix)null);
},
expectedType: typeof(ArgumentNullException),
expectedPartialMessage:
ArgumentExceptionAssert.NullPartialMessage,
expectedParameterName: parameterName);
}
// data must have positive marginal row sums
{
var STR_EXCEPT_GDA_NON_POSITIVE_MARGINAL_SUMS =
ImplementationServices.GetResourceString(
"STR_EXCEPT_GDA_NON_POSITIVE_MARGINAL_SUMS");
string parameterName = "data";
var data = DoubleMatrix.Dense(
new double[6, 3]
{
{ 7836, 13112, 6026 },
{ 53655, 102383, 42413 },
{ 115615, 184541, 59226 },
{ 161926, 340479, 62754 },
{ 0, 0, 0 },
{ 46371, 58367, 14229 }
});
ArgumentExceptionAssert.Throw(
() =>
{
Correspondence.Analyze(
data);
},
expectedType: typeof(ArgumentOutOfRangeException),
expectedPartialMessage:
STR_EXCEPT_GDA_NON_POSITIVE_MARGINAL_SUMS,
expectedParameterName: parameterName);
}
// data must have positive marginal column sums
{
var STR_EXCEPT_GDA_NON_POSITIVE_MARGINAL_SUMS =
ImplementationServices.GetResourceString(
"STR_EXCEPT_GDA_NON_POSITIVE_MARGINAL_SUMS");
string parameterName = "data";
var data = DoubleMatrix.Dense(
new double[6, 3]
{
{ 7836, 0, 6026 },
{ 53655, 0, 42413 },
{ 115615, 0, 59226 },
{ 161926, 0, 62754 },
{ 38117, 0, 12670 },
{ 46371, 0, 14229 }
});
ArgumentExceptionAssert.Throw(
() =>
{
Correspondence.Analyze(
data);
},
expectedType: typeof(ArgumentOutOfRangeException),
expectedPartialMessage:
STR_EXCEPT_GDA_NON_POSITIVE_MARGINAL_SUMS,
expectedParameterName: parameterName);
}
// SVD cannot be executed or does not converge
{
var STR_EXCEPT_SVD_ERRORS =
ImplementationServices.GetResourceString(
"STR_EXCEPT_SVD_ERRORS");
DoubleMatrix data = DoubleMatrix.Dense(2, 2,
new double[4] {
Double.NaN, 1, 1, 1
});
ExceptionAssert.Throw(
() =>
{
Correspondence.Analyze(
data);
},
expectedType: typeof(InvalidOperationException),
expectedMessage:
STR_EXCEPT_SVD_ERRORS);
}
// No positive principal variances
{
var STR_EXCEPT_GDA_NON_POSITIVE_PRINCIPAL_VARIANCES =
ImplementationServices.GetResourceString(
"STR_EXCEPT_GDA_NON_POSITIVE_PRINCIPAL_VARIANCES");
DoubleMatrix data = DoubleMatrix.Dense(4, 2, 1.0);
ExceptionAssert.Throw(
() =>
{
Correspondence.Analyze(
data);
},
expectedType: typeof(InvalidOperationException),
expectedMessage:
STR_EXCEPT_GDA_NON_POSITIVE_PRINCIPAL_VARIANCES);
}
// Valid input
{
{
var data = DoubleMatrix.Dense(
new double[6, 3]
{
{ 7836, 13112, 6026 },
{ 53655, 102383, 42413 },
{ 115615, 184541, 59226 },
{ 161926, 340479, 62754 },
{ 38117, 105101, 12670 },
{ 46371, 58367, 14229 }
});
var rowNames = new string[6]
{
"Rousseau",
"Chateaubriand",
"Hugo",
"Zola",
"Proust",
"Giraudoux"
};
for (int i = 0; i < data.NumberOfRows; i++)
{
data.SetRowName(i, rowNames[i]);
}
var columnNames = new string[3]
{
"Period",
"Comma",
"OtherMarks"
};
for (int j = 0; j < data.NumberOfColumns; j++)
{
data.SetColumnName(j, columnNames[j]);
}
var correspondence =
Correspondence.Analyze(
data);
var rows = correspondence.RowProfiles.ActiveCloud;
Assert.IsNotNull(rows);
var columns = correspondence.ColumnProfiles.ActiveCloud;
Assert.IsNotNull(columns);
}
}
}
