private CorrelationAnalysisModel GetModel(IDataset dataset)
{
var model = new CorrelationAnalysisModel(dataset)
{
ByCategoriesAndOverall = false,
CorrelationCoefficient = true,
FirstCatFactor = "Factor 1",
FourthCatFactor = "Factor 4",
Hypothesis = "2-sided",
Matrixplot = false,
Method = "Pearson",
PValue = true,
Responses = new List <string>
{
"Resp 1",
"Resp 2"
},
Scatterplot = false,
SecondCatFactor = "Factor 2",
Significance = "0.05",
TestStatistic = true,
ThirdCatFactor = "Factor 3",
Transformation = "None"
};
return(model);
}
public void ScriptFileName_ReturnsCorrectString()
{
//Arrange
System.Threading.Thread.CurrentThread.CurrentCulture = CultureInfo.InvariantCulture;
CorrelationAnalysisModel sut = new CorrelationAnalysisModel();
//Act
string result = sut.ScriptFileName;
//Assert
Assert.Equal("CorrelationAnalysis", result);
}
public void GetCommandLineArguments_ReturnsCorrectString()
{
//Arrange
System.Threading.Thread.CurrentThread.CurrentCulture = CultureInfo.InvariantCulture;
CorrelationAnalysisModel sut = GetModel(GetDataset());
//Act
string result = sut.GetCommandLineArguments();
//Assert
Assert.Equal("Respivs_sp_ivs1,Respivs_sp_ivs2 None Factorivs_sp_ivs1 Factorivs_sp_ivs2 Factorivs_sp_ivs3 Factorivs_sp_ivs4 Pearson 2-sided Y Y Y N N 0.05 N", result);
}
public void MethodsList_ReturnsCorrectList()
{
//Arrange
System.Threading.Thread.CurrentThread.CurrentCulture = CultureInfo.InvariantCulture;
CorrelationAnalysisModel sut = new CorrelationAnalysisModel();
//Act
IEnumerable <string> result = sut.MethodsList;
//Assert
Assert.IsAssignableFrom <IEnumerable <string> >(result);
Assert.Equal(new List <string>()
{
"Pearson", "Kendall", "Spearman"
}, result);
}
public void HypothesesList_ReturnsCorrectList()
{
//Arrange
System.Threading.Thread.CurrentThread.CurrentCulture = CultureInfo.InvariantCulture;
CorrelationAnalysisModel sut = new CorrelationAnalysisModel();
//Act
IEnumerable <string> result = sut.HypothesesList;
//Assert
Assert.IsAssignableFrom <IEnumerable <string> >(result);
Assert.Equal(new List <string>()
{
"2-sided", "Less than", "Greater than"
}, result);
}
public void TransformationsList_ReturnsCorrectList()
{
//Arrange
System.Threading.Thread.CurrentThread.CurrentCulture = CultureInfo.InvariantCulture;
CorrelationAnalysisModel sut = new CorrelationAnalysisModel();
//Act
IEnumerable <string> result = sut.TransformationsList;
//Assert
Assert.IsAssignableFrom <IEnumerable <string> >(result);
Assert.Equal(new List <string>()
{
"None", "Log10", "Loge", "Square Root", "ArcSine"
}, result);
}
public void ExportData_ReturnsCorrectStringArray()
{
//Arrange
System.Threading.Thread.CurrentThread.CurrentCulture = CultureInfo.InvariantCulture;
Mock <IDataset> mockDataset = new Mock <IDataset>();
mockDataset.Setup(x => x.DatasetID).Returns(It.IsAny <int>);
mockDataset.Setup(x => x.DatasetToDataTable()).Returns(GetTestDataTable());
CorrelationAnalysisModel sut = GetModel(mockDataset.Object);
//Act
string[] result = sut.ExportData();
//Assert
Assert.Equal("Respivs_sp_ivs1,Respivs_sp_ivs2,Factorivs_sp_ivs1,Factorivs_sp_ivs2,Factorivs_sp_ivs3,Factorivs_sp_ivs4,catfact", result[0]);
Assert.Equal(33, result.Count()); //as blank responses are removed
Assert.StartsWith("0.51,0.86,D,2,2,D,D 2 2 D", result[32]);
}
public void LoadArguments_ReturnsCorrectArguments()
{
//Arrange
System.Threading.Thread.CurrentThread.CurrentCulture = CultureInfo.InvariantCulture;
CorrelationAnalysisModel sut = new CorrelationAnalysisModel(GetDataset());
List <Argument> arguments = new List <Argument>();
arguments.Add(new Argument {
Name = "Responses", Value = "Resp 1,Resp2"
});
arguments.Add(new Argument {
Name = "FirstCatFactor", Value = "Factor 1"
});
arguments.Add(new Argument {
Name = "SecondCatFactor", Value = "Factor 2"
});
arguments.Add(new Argument {
Name = "ThirdCatFactor", Value = "Factor 3"
});
arguments.Add(new Argument {
Name = "FourthCatFactor", Value = "Factor 4"
});
arguments.Add(new Argument {
Name = "Transformation", Value = "Log10"
});
arguments.Add(new Argument {
Name = "ByCategoriesAndOverall", Value = "False"
});
arguments.Add(new Argument {
Name = "CorrelationCoefficient", Value = "True"
});
arguments.Add(new Argument {
Name = "Hypothesis", Value = "2-sided"
});
arguments.Add(new Argument {
Name = "Matrixplot", Value = "False"
});
arguments.Add(new Argument {
Name = "Method", Value = "Pearson"
});
arguments.Add(new Argument {
Name = "PValue", Value = "True"
});
arguments.Add(new Argument {
Name = "TestStatistic", Value = "True"
});
arguments.Add(new Argument {
Name = "Significance", Value = "0.05"
});
arguments.Add(new Argument {
Name = "Scatterplot", Value = "False"
});
Assert.Equal(15, arguments.Count);
//Act
sut.LoadArguments(arguments);
//Assert
Assert.Equal(new List <string> {
"Resp 1", "Resp2"
}, sut.Responses);
Assert.Equal("Factor 1", sut.FirstCatFactor);
Assert.Equal("Factor 2", sut.SecondCatFactor);
Assert.Equal("Factor 3", sut.ThirdCatFactor);
Assert.Equal("Factor 4", sut.FourthCatFactor);
Assert.Equal("Log10", sut.Transformation);
Assert.False(sut.ByCategoriesAndOverall);
Assert.True(sut.CorrelationCoefficient);
Assert.False(sut.Matrixplot);
Assert.Equal("2-sided", sut.Hypothesis);
Assert.Equal("Pearson", sut.Method);
Assert.True(sut.PValue);
Assert.True(sut.TestStatistic);
Assert.Equal("0.05", sut.Significance);
Assert.False(sut.Scatterplot);
}
public void GetArguments_ReturnsCorrectArguments()
{
//Arrange
System.Threading.Thread.CurrentThread.CurrentCulture = CultureInfo.InvariantCulture;
CorrelationAnalysisModel sut = GetModel(GetDataset());
//Act
List <Argument> result = sut.GetArguments().ToList();
//Assert
var responses = result.Single(x => x.Name == "Responses");
Assert.Equal("Resp 1,Resp 2", responses.Value);
var firstCatFactor = result.Single(x => x.Name == "FirstCatFactor");
Assert.Equal("Factor 1", firstCatFactor.Value);
var secondCatFactor = result.Single(x => x.Name == "SecondCatFactor");
Assert.Equal("Factor 2", secondCatFactor.Value);
var thirdCatFactor = result.Single(x => x.Name == "ThirdCatFactor");
Assert.Equal("Factor 3", thirdCatFactor.Value);
var fourthCatFactor = result.Single(x => x.Name == "FourthCatFactor");
Assert.Equal("Factor 4", fourthCatFactor.Value);
var transformation = result.Single(x => x.Name == "Transformation");
Assert.Equal("None", transformation.Value);
var byCategoriesAndOverall = result.Single(x => x.Name == "ByCategoriesAndOverall");
Assert.Equal("False", byCategoriesAndOverall.Value);
var estimate = result.Single(x => x.Name == "CorrelationCoefficient");
Assert.Equal("True", estimate.Value);
var hypothesis = result.Single(x => x.Name == "Hypothesis");
Assert.Equal("2-sided", hypothesis.Value);
var matrixplot = result.Single(x => x.Name == "Matrixplot");
Assert.Equal("False", matrixplot.Value);
var method = result.Single(x => x.Name == "Method");
Assert.Equal("Pearson", method.Value);
var pValue = result.Single(x => x.Name == "PValue");
Assert.Equal("True", pValue.Value);
var significance = result.Single(x => x.Name == "Significance");
Assert.Equal("0.05", significance.Value);
var testStatistic = result.Single(x => x.Name == "TestStatistic");
Assert.Equal("True", testStatistic.Value);
var scatterplot = result.Single(x => x.Name == "Scatterplot");
Assert.Equal("False", scatterplot.Value);
}
public async Task <IActionResult> CorrelationAnalysis(CorrelationAnalysisModel model, bool ignoreWarnings)
{
return(await RunAnalysis(model, ignoreWarnings));
}
public CorrelationAnalysisValidator(CorrelationAnalysisModel ca)
: base(ca.DataTable)
{
caVariables = ca;
}
