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);
}