public async Task PSS18() { string testName = "PSS18"; //Arrange HttpClient client = _factory.CreateClient(); OneWayANOVAPowerAnalysisUserBasedInputsModel model = new OneWayANOVAPowerAnalysisUserBasedInputsModel(); model.Means = "3.5,3.75,5.5,8"; model.VariabilityEstimate = VariabilityEstimate.Variance; model.Variance = 8; model.Significance = "0.001"; model.PlottingRangeType = PlottingRangeTypeOption.SampleSize; model.SampleSizeFrom = 2; model.SampleSizeTo = 20; //Act StatsOutput statsOutput = await Helpers.SubmitAnalysis(client, "OneWayANOVAPowerAnalysisUserBasedInputs", new FormUrlEncodedContent(model.ToKeyValue())); Helpers.SaveTestOutput("OneWayANOVAPowerAnalysisUserBasedInputs", model, testName, statsOutput); //Assert string expectedHtml = File.ReadAllText(Path.Combine("ExpectedResults", "OneWayANOVAPowerAnalysisUserBasedInputs", testName + ".html")); Assert.Equal(Helpers.FixForUnixOSs(expectedHtml), Helpers.FixForUnixOSs(statsOutput.HtmlResults)); }
public async Task PSS23() { string testName = "PSS23"; //Arrange HttpClient client = _factory.CreateClient(); OneWayANOVAPowerAnalysisUserBasedInputsModel model = new OneWayANOVAPowerAnalysisUserBasedInputsModel(); model.Means = "3.5,3.75,5.5,8"; model.VariabilityEstimate = VariabilityEstimate.StandardDeviation; model.StandardDeviation = 3; model.Significance = "0.05"; model.PlottingRangeType = PlottingRangeTypeOption.Power; model.PowerFrom = 50; model.PowerTo = 70; //Act StatsOutput statsOutput = await Helpers.SubmitAnalysis(client, "OneWayANOVAPowerAnalysisUserBasedInputs", new FormUrlEncodedContent(model.ToKeyValue())); Helpers.SaveTestOutput("OneWayANOVAPowerAnalysisUserBasedInputs", model, testName, statsOutput); //Assert string expectedHtml = File.ReadAllText(Path.Combine("ExpectedResults", "OneWayANOVAPowerAnalysisUserBasedInputs", testName + ".html")); Assert.Equal(Helpers.RemoveAllImageNodes(expectedHtml), Helpers.RemoveAllImageNodes(statsOutput.HtmlResults)); }
public async Task PSS15() { string testName = "PSS15"; //Arrange HttpClient client = _factory.CreateClient(); OneWayANOVAPowerAnalysisUserBasedInputsModel model = new OneWayANOVAPowerAnalysisUserBasedInputsModel(); model.Means = "2,2,3"; model.VariabilityEstimate = VariabilityEstimate.StandardDeviation; model.StandardDeviation = 10; model.PlottingRangeType = PlottingRangeTypeOption.SampleSize; model.SampleSizeFrom = 80; model.SampleSizeTo = 50; //Act HttpResponseMessage response = await client.PostAsync("Analyses/OneWayANOVAPowerAnalysisUserBasedInputs", new FormUrlEncodedContent(model.ToKeyValue())); IEnumerable <string> errors = await Helpers.ExtractErrors(response); //Assert Assert.Contains("Sample Size To value must be greater than the From value.", errors); Helpers.SaveOutput("OneWayANOVAPowerAnalysisUserBasedInputs", testName, errors); }
public void GetArguments_ReturnsCorrectArguments() { //Arrange System.Threading.Thread.CurrentThread.CurrentCulture = CultureInfo.InvariantCulture; OneWayANOVAPowerAnalysisUserBasedInputsModel sut = GetModel(); //Act List <Argument> result = sut.GetArguments().ToList(); //Assert var graphTitle = result.Single(x => x.Name == "GraphTitle"); Assert.Equal("TitleTest", graphTitle.Value); var means = result.Single(x => x.Name == "Means"); Assert.Equal("55", means.Value); var variabilityEstimate = result.Single(x => x.Name == "VariabilityEstimate"); Assert.Equal("Variance", variabilityEstimate.Value); var variance = result.Single(x => x.Name == "Variance"); Assert.Equal("42", variance.Value); var standardDeviation = result.Single(x => x.Name == "StandardDeviation"); Assert.Null(standardDeviation.Value); var plottingRangeType = result.Single(x => x.Name == "PlottingRangeType"); Assert.Equal("Power", plottingRangeType.Value); var powerFrom = result.Single(x => x.Name == "PowerFrom"); Assert.Equal("70", powerFrom.Value); var powerTo = result.Single(x => x.Name == "PowerTo"); Assert.Equal("90", powerTo.Value); var sampleSizeFrom = result.Single(x => x.Name == "SampleSizeFrom"); Assert.Null(sampleSizeFrom.Value); var sampleSizeTo = result.Single(x => x.Name == "SampleSizeTo"); Assert.Null(sampleSizeTo.Value); var significance = result.Single(x => x.Name == "Significance"); Assert.Equal("0.05", significance.Value); }
public void GetCommandLineArguments_ReturnsCorrectString() { //Arrange System.Threading.Thread.CurrentThread.CurrentCulture = CultureInfo.InvariantCulture; OneWayANOVAPowerAnalysisUserBasedInputsModel sut = GetModel(); //Act string result = sut.GetCommandLineArguments(); //Assert Assert.Equal("UserValues 55 Variance 42 NULL 0.05 PowerAxis 70 90 TitleTest", result); }
public void ScriptFileName_ReturnsCorrectString() { //Arrange System.Threading.Thread.CurrentThread.CurrentCulture = CultureInfo.InvariantCulture; OneWayANOVAPowerAnalysisUserBasedInputsModel sut = new OneWayANOVAPowerAnalysisUserBasedInputsModel(); //Act string result = sut.ScriptFileName; //Assert Assert.Equal("OneWayANOVAPowerAnalysisUserBasedInputs", result); }
public void SignificancesList_ReturnsCorrectList() { //Arrange System.Threading.Thread.CurrentThread.CurrentCulture = CultureInfo.InvariantCulture; OneWayANOVAPowerAnalysisUserBasedInputsModel sut = new OneWayANOVAPowerAnalysisUserBasedInputsModel(); //Act IEnumerable <string> result = sut.SignificancesList; //Assert Assert.IsAssignableFrom <IEnumerable <string> >(result); Assert.Equal(new List <string>() { "0.1", "0.05", "0.025", "0.01", "0.001" }, result); }
private OneWayANOVAPowerAnalysisUserBasedInputsModel GetModel() { var model = new OneWayANOVAPowerAnalysisUserBasedInputsModel { Means = "55", VariabilityEstimate = VariabilityEstimate.Variance, Variance = 42, StandardDeviation = null, GraphTitle = "TitleTest", PlottingRangeType = PlottingRangeTypeOption.Power, PowerFrom = 70, PowerTo = 90, SampleSizeFrom = null, SampleSizeTo = null, Significance = "0.05" }; return(model); }
public async Task PSS4() { string testName = "PSS4"; //Arrange HttpClient client = _factory.CreateClient(); OneWayANOVAPowerAnalysisUserBasedInputsModel model = new OneWayANOVAPowerAnalysisUserBasedInputsModel(); model.Means = "2,2,3"; model.VariabilityEstimate = VariabilityEstimate.Variance; model.Variance = 0; model.PlottingRangeType = PlottingRangeTypeOption.Power; //Act HttpResponseMessage response = await client.PostAsync("Analyses/OneWayANOVAPowerAnalysisUserBasedInputs", new FormUrlEncodedContent(model.ToKeyValue())); IEnumerable <string> errors = await Helpers.ExtractErrors(response); //Assert Assert.Contains("Variance must be > 0.", errors); Helpers.SaveOutput("OneWayANOVAPowerAnalysisUserBasedInputs", testName, errors); }
public async Task PSS2() { string testName = "PSS2"; //Arrange HttpClient client = _factory.CreateClient(); OneWayANOVAPowerAnalysisUserBasedInputsModel model = new OneWayANOVAPowerAnalysisUserBasedInputsModel(); model.Means = "2,2,,3"; model.VariabilityEstimate = VariabilityEstimate.Variance; model.Variance = 2; model.PlottingRangeType = PlottingRangeTypeOption.Power; //Act HttpResponseMessage response = await client.PostAsync("Analyses/OneWayANOVAPowerAnalysisUserBasedInputs", new FormUrlEncodedContent(model.ToKeyValue())); IEnumerable <string> errors = await Helpers.ExtractErrors(response); //Assert Assert.Contains("The list of means contains missing values, please remove any blank entries between the comma separated means.", errors); Helpers.SaveOutput("OneWayANOVAPowerAnalysisUserBasedInputs", testName, errors); }
public async Task <IActionResult> OneWayANOVAPowerAnalysisUserBasedInputs(OneWayANOVAPowerAnalysisUserBasedInputsModel model, bool ignoreWarnings) { return(await RunAnalysis(model, ignoreWarnings)); }
public OneWayANOVAPowerAnalysisUserBasedInputsValidator(OneWayANOVAPowerAnalysisUserBasedInputsModel ow) { owVariables = ow; }
public void LoadArguments_ReturnsCorrectArguments() { //Arrange System.Threading.Thread.CurrentThread.CurrentCulture = CultureInfo.InvariantCulture; OneWayANOVAPowerAnalysisUserBasedInputsModel sut = new OneWayANOVAPowerAnalysisUserBasedInputsModel(); List <Argument> arguments = new List <Argument>(); arguments.Add(new Argument { Name = "GraphTitle", Value = "TitleTest" }); arguments.Add(new Argument { Name = "EffectSizeEstimate", Value = "TreatmentMeanSquare" }); arguments.Add(new Argument { Name = "TreatmentMeanSquare", Value = "12.5" }); arguments.Add(new Argument { Name = "Means", Value = "55" }); arguments.Add(new Argument { Name = "VariabilityEstimate", Value = "Variance" }); arguments.Add(new Argument { Name = "ResidualMeanSquare" }); arguments.Add(new Argument { Name = "Variance", Value = "42" }); arguments.Add(new Argument { Name = "StandardDeviation" }); arguments.Add(new Argument { Name = "NoOfTreatmentGroups", Value = "5" }); arguments.Add(new Argument { Name = "PlottingRangeType", Value = "Power" }); arguments.Add(new Argument { Name = "PowerFrom", Value = "70" }); arguments.Add(new Argument { Name = "PowerTo", Value = "90" }); arguments.Add(new Argument { Name = "SampleSizeFrom" }); arguments.Add(new Argument { Name = "SampleSizeTo" }); arguments.Add(new Argument { Name = "Significance", Value = "0.05" }); Assert.Equal(15, arguments.Count); //Act sut.LoadArguments(arguments); //Assert Assert.Equal("55", sut.Means); Assert.Equal("Variance", sut.VariabilityEstimate.ToString()); Assert.Equal("42", sut.Variance.ToString()); Assert.Null(sut.StandardDeviation); Assert.Equal("55", sut.Means); Assert.Equal("TitleTest", sut.GraphTitle); Assert.Equal(PlottingRangeTypeOption.Power, sut.PlottingRangeType); Assert.Equal(70, sut.PowerFrom); Assert.Equal(90, sut.PowerTo); Assert.Null(sut.SampleSizeFrom); Assert.Null(sut.SampleSizeTo); Assert.Equal("0.05", sut.Significance); }