public async Task SS11() { string testName = "SS11"; //Arrange HttpClient client = _factory.CreateClient(); SummaryStatisticsModel model = new SummaryStatisticsModel(); model.DatasetID = _factory.SheetNames.Single(x => x.Value == "Summary Statistics").Key; model.Responses = new string[] { "Resp 2", "Resp5" }; model.FirstCatFactor = "Cat1"; model.SecondCatFactor = "Cat4"; //Act HttpResponseMessage response = await client.PostAsync("Analyses/SummaryStatistics", new FormUrlEncodedContent(model.ToKeyValue())); IEnumerable <string> errors = await Helpers.ExtractErrors(response); //Assert Assert.Contains("The categorisation factor (Cat1) contains missing data where there are observations present in the Response. Please check the input data and make sure the data was entered correctly.", errors); Helpers.SaveOutput("SummaryStatistics", testName, errors); }
public async Task SS13() { string testName = "SS13"; //Arrange HttpClient client = _factory.CreateClient(); SummaryStatisticsModel model = new SummaryStatisticsModel(); model.DatasetID = _factory.SheetNames.Single(x => x.Value == "Summary Statistics").Key; model.Responses = new string[] { "Resp 2" }; model.FirstCatFactor = "Cat3"; model.SecondCatFactor = "Cat4"; //Act HttpResponseMessage response = await client.PostAsync("Analyses/SummaryStatistics", new FormUrlEncodedContent(model.ToKeyValue())); IEnumerable <string> errors = await Helpers.ExtractErrors(response); //Assert Assert.Contains("There are no observations recorded on the levels of the categorisation factor (Cat3). Please amend the dataset prior to running the analysis.", errors); Helpers.SaveOutput("SummaryStatistics", testName, errors); }
public async Task SS9() { string testName = "SS9"; //Arrange HttpClient client = _factory.CreateClient(); SummaryStatisticsModel model = new SummaryStatisticsModel(); model.DatasetID = _factory.SheetNames.Single(x => x.Value == "Summary Statistics").Key; model.Responses = new string[] { "Resp11" }; model.Transformation = "ArcSine"; //Act HttpResponseMessage response = await client.PostAsync("Analyses/SummaryStatistics", new FormUrlEncodedContent(model.ToKeyValue())); IEnumerable <string> warnings = await Helpers.ExtractWarnings(response); //Assert Assert.Contains("You have ArcSine transformed the Resp11 variable. Unfortunately some of the Resp11 values are <0 or >1. These values have been ignored in the analysis as it is not possible to transform them.", warnings); Helpers.SaveOutput("SummaryStatistics", testName, warnings); }
public async Task SS10() { string testName = "SS10"; //Arrange HttpClient client = _factory.CreateClient(); SummaryStatisticsModel model = new SummaryStatisticsModel(); model.DatasetID = _factory.SheetNames.Single(x => x.Value == "Summary Statistics").Key; model.Responses = new string[] { "Resp1", "Resp 2" }; //Act HttpResponseMessage response = await client.PostAsync("Analyses/SummaryStatistics", new FormUrlEncodedContent(model.ToKeyValue())); IEnumerable <string> errors = await Helpers.ExtractErrors(response); //Assert Assert.Contains("The Response (Resp1) contains non-numeric data that cannot be processed. Please check the data and make sure it was entered correctly.", errors); Helpers.SaveOutput("SummaryStatistics", testName, errors); }
public async Task SS27() { string testName = "SS27"; //Arrange HttpClient client = _factory.CreateClient(); SummaryStatisticsModel model = new SummaryStatisticsModel(); model.DatasetID = _factory.SheetNames.Single(x => x.Value == "Summary Statistics").Key; model.Responses = new string[] { "Resp 2", "Resp8", "Resp9" }; model.FirstCatFactor = "Cat6"; model.Transformation = "None"; model.Mean = true; model.N = true; model.StandardDeviation = true; model.Variance = true; model.StandardErrorOfMean = true; model.MinAndMax = true; model.MedianAndQuartiles = true; model.CoefficientOfVariation = true; model.NormalProbabilityPlot = true; model.CoefficientOfVariation = true; model.ByCategoriesAndOverall = true; model.ConfidenceInterval = true; model.Significance = 95; //Act StatsOutput statsOutput = await Helpers.SubmitAnalysis(client, "SummaryStatistics", new FormUrlEncodedContent(model.ToKeyValue())); Helpers.SaveTestOutput("SummaryStatistics", model, testName, statsOutput); //Assert string expectedHtml = File.ReadAllText(Path.Combine("ExpectedResults", "SummaryStatistics", testName + ".html")); Assert.Equal(Helpers.FixForUnixOSs(expectedHtml), Helpers.FixForUnixOSs(statsOutput.HtmlResults)); }
public async Task SS3() { string testName = "SS3"; //Arrange HttpClient client = _factory.CreateClient(); SummaryStatisticsModel model = new SummaryStatisticsModel(); model.DatasetID = _factory.SheetNames.Single(x => x.Value == "Summary Statistics").Key; model.Responses = new string[] { "Resp 2" }; model.FirstCatFactor = "Cat2"; //Act HttpResponseMessage response = await client.PostAsync("Analyses/SummaryStatistics", new FormUrlEncodedContent(model.ToKeyValue())); IEnumerable <string> errors = await Helpers.ExtractErrors(response); //Assert Assert.Contains("There is no replication in one or more of the levels of the categorisation factor (Cat2). Please select another factor.", errors); Helpers.SaveOutput("SummaryStatistics", testName, errors); }
public async Task SS20() { string testName = "SS20"; //Arrange HttpClient client = _factory.CreateClient(); SummaryStatisticsModel model = new SummaryStatisticsModel(); model.DatasetID = _factory.SheetNames.Single(x => x.Value == "Summary Statistics").Key; model.Responses = new string[] { "Resp 2", "Resp10" }; model.FirstCatFactor = "Cat4"; //Act HttpResponseMessage response = await client.PostAsync("Analyses/SummaryStatistics", new FormUrlEncodedContent(model.ToKeyValue())); IEnumerable <string> warnings = await Helpers.ExtractWarnings(response); //Assert Assert.Contains("The Response (Resp10) contains missing data. Any rows of the dataset that contain missing responses will be excluded prior to the analysis.", warnings); Helpers.SaveOutput("SummaryStatistics", testName, warnings); }
public async Task SS19() { string testName = "SS19"; //Arrange HttpClient client = _factory.CreateClient(); SummaryStatisticsModel model = new SummaryStatisticsModel(); model.DatasetID = _factory.SheetNames.Single(x => x.Value == "Summary Statistics").Key; model.Responses = new string[] { "Resp1" }; model.Mean = false; model.N = false; model.StandardDeviation = false; model.Variance = false; model.StandardErrorOfMean = false; model.MinAndMax = false; model.MedianAndQuartiles = false; model.CoefficientOfVariation = false; model.NormalProbabilityPlot = false; model.CoefficientOfVariation = false; model.ByCategoriesAndOverall = false; model.ConfidenceInterval = true; //Act HttpResponseMessage response = await client.PostAsync("Analyses/SummaryStatistics", new FormUrlEncodedContent(model.ToKeyValue())); IEnumerable <string> errors = await Helpers.ExtractErrors(response); //Assert Assert.Contains("You have not selected anything to output!", errors); Helpers.SaveOutput("SummaryStatistics", testName, errors); }
public async Task SS14() { string testName = "SS14"; //Arrange HttpClient client = _factory.CreateClient(); SummaryStatisticsModel model = new SummaryStatisticsModel(); model.DatasetID = _factory.SheetNames.Single(x => x.Value == "Summary Statistics").Key; model.Responses = new string[] { "Resp 2" }; model.Significance = 0; //Act HttpResponseMessage response = await client.PostAsync("Analyses/SummaryStatistics", new FormUrlEncodedContent(model.ToKeyValue())); IEnumerable <string> errors = await Helpers.ExtractErrors(response); //Assert Assert.Contains("You have selected a confidence limit that is less than 1. Note that this value should be entered as a percentage and not a fraction.", errors); Helpers.SaveOutput("SummaryStatistics", testName, errors); }