public override string GetCommandLineArguments()
{
ArgumentFormatter argFormatter = new ArgumentFormatter();
StringBuilder arguments = new StringBuilder();
arguments.Append(" " + argFormatter.GetFormattedArgument(Responses)); //4
arguments.Append(" " + argFormatter.GetFormattedArgument(SubjectFactor, true)); //5
arguments.Append(" " + argFormatter.GetFormattedArgument(IncludeAllVariables)); //6
arguments.Append(" " + argFormatter.GetFormattedArgument(SelectedVariables)); //7
arguments.Append(" " + argFormatter.GetFormattedArgument(ResponseName, true)); //8
arguments.Append(" " + argFormatter.GetFormattedArgument(RepeatedFactorName, true)); //9
arguments.Append(" " + argFormatter.GetFormattedArgument(SubjectFactorName, true)); //10
return(arguments.ToString().Trim());
}
public override string GetCommandLineArguments()
{
ArgumentFormatter argFormatter = new ArgumentFormatter();
StringBuilder arguments = new StringBuilder();
if (AnalysisType == AnalysisOption.FourParameter) //4
{
arguments.Append(" " + "FourParameter");
}
else
{
arguments.Append(" " + "Equation");
}
arguments.Append(" " + argFormatter.GetFormattedArgument(Response, true)); //5
arguments.Append(" " + argFormatter.GetFormattedArgument(ResponseTransformation, false)); //6
arguments.Append(" " + argFormatter.GetFormattedArgument(Dose, true)); //7
//get the checkbox setting
arguments.Append(" " + argFormatter.GetFormattedArgument(Offset.ToString(), false)); //8
arguments.Append(" " + argFormatter.GetFormattedArgument(DoseScale.ToString(), false)); //9
arguments.Append(" " + argFormatter.GetFormattedArgument(QCResponse, true)); //10
arguments.Append(" " + argFormatter.GetFormattedArgument(QCDose, true)); //11
arguments.Append(" " + argFormatter.GetFormattedArgument(SamplesResponse, true)); //12
arguments.Append(" " + argFormatter.GetFormattedArgument(MinCoeff.ToString(), false)); //13
arguments.Append(" " + argFormatter.GetFormattedArgument(MaxCoeff.ToString(), false)); //14
arguments.Append(" " + argFormatter.GetFormattedArgument(SlopeCoeff.ToString(), false)); //15
arguments.Append(" " + argFormatter.GetFormattedArgument(EDICCoeff.ToString(), false)); //16
arguments.Append(" " + argFormatter.GetFormattedArgument(MinStartValue.ToString(), false)); //17
arguments.Append(" " + argFormatter.GetFormattedArgument(MaxStartValue.ToString(), false)); //18
arguments.Append(" " + argFormatter.GetFormattedArgument(SlopeStartValue.ToString(), false)); //19
arguments.Append(" " + argFormatter.GetFormattedArgument(EDICStartValue.ToString(), false)); //20
arguments.Append(" " + argFormatter.GetFormattedArgument(Equation, false)); //21
arguments.Append(" " + argFormatter.GetFormattedArgument(StartValues, false)); //22
arguments.Append(" " + argFormatter.GetFormattedArgument(EquationYAxis, true)); //23
arguments.Append(" " + argFormatter.GetFormattedArgument(EquationXAxis, true)); //24
return(arguments.ToString().Trim());
}
public override string GetCommandLineArguments()
{
ArgumentFormatter argFormatter = new ArgumentFormatter();
StringBuilder arguments = new StringBuilder();
//first thing to do is to assemble the model (use the GetModel method)
arguments.Append(" " + argFormatter.GetFormattedArgument(GetModel(), true)); //4
//get transforms
arguments.Append(" " + argFormatter.GetFormattedArgument(ResponseTransformation, false)); //5
arguments.Append(" " + argFormatter.GetFormattedArgument(CovariateTransformation, false)); //6
arguments.Append(" " + argFormatter.GetFormattedArgument(Treatments)); //7
arguments.Append(" " + argFormatter.GetFormattedArgument(OtherDesignFactors)); //8
arguments.Append(" " + argFormatter.GetFormattedArgument(Covariates)); //9
arguments.Append(" " + argFormatter.GetFormattedArgument(Significance, false)); //10
arguments.Append(" " + argFormatter.GetFormattedArgument(RandomFactor1, true)); //11
arguments.Append(" " + argFormatter.GetFormattedArgument(RandomFactor2, true)); //12
arguments.Append(" " + argFormatter.GetFormattedArgument(RandomFactor3, true)); //13
arguments.Append(" " + argFormatter.GetFormattedArgument(RandomFactor4, true)); //14
arguments.Append(" " + argFormatter.GetFormattedArgument(DesignOption1, true)); //15
arguments.Append(" " + argFormatter.GetFormattedArgument(DesignOption2, true)); //16
arguments.Append(" " + argFormatter.GetFormattedArgument(DesignOption3, true)); //17
arguments.Append(" " + argFormatter.GetFormattedArgument(DesignOption4, true)); //18
return(arguments.ToString().Trim());
}
public override string GetCommandLineArguments()
{
ArgumentFormatter argFormatter = new ArgumentFormatter();
StringBuilder arguments = new StringBuilder();
//first thing to do is to assemble the model (use the GetModel method)
arguments.Append(" " + argFormatter.GetFormattedArgument(GetModel(), true)); //4
//assemble a model for the covariate plot (if a covariate has been chosen)...
arguments.Append(" " + argFormatter.GetFormattedArgument(Covariates)); //5
//get transforms
arguments.Append(" " + argFormatter.GetFormattedArgument(ResponseTransformation, false)); //6
arguments.Append(" " + argFormatter.GetFormattedArgument(CovariateTransformation, false)); //7
arguments.Append(" " + argFormatter.GetFormattedArgument(PrimaryFactor, true)); //8
arguments.Append(" " + argFormatter.GetFormattedArgument(CategoricalFactors)); //9
arguments.Append(" " + argFormatter.GetFormattedArgument(ContinuousFactors)); //10
arguments.Append(" " + argFormatter.GetFormattedArgument(ContinuousFactorsTransformation, false)); //11
arguments.Append(" " + argFormatter.GetFormattedArgument(OtherDesignFactors)); //12
arguments.Append(" " + argFormatter.GetFormattedArgument(ANOVASelected)); //13
arguments.Append(" " + argFormatter.GetFormattedArgument(Coefficients)); //14
arguments.Append(" " + argFormatter.GetFormattedArgument(AdjustedRSquared)); //15
arguments.Append(" " + Significance); //16
arguments.Append(" " + argFormatter.GetFormattedArgument(ResidualsVsPredictedPlot)); //17
arguments.Append(" " + argFormatter.GetFormattedArgument(NormalProbabilityPlot)); //18
arguments.Append(" " + argFormatter.GetFormattedArgument(CooksDistancePlot)); //19
arguments.Append(" " + argFormatter.GetFormattedArgument(LeveragePlot)); //20
return(arguments.ToString().Trim());
}
public override string GetCommandLineArguments()
{
ArgumentFormatter argFormatter = new ArgumentFormatter();
StringBuilder arguments = new StringBuilder();
arguments.Append(" " + "DatasetValues"); //4
arguments.Append(" " + argFormatter.GetFormattedArgument(Response, true)); //5
arguments.Append(" " + argFormatter.GetFormattedArgument(Treatment, true)); //6
arguments.Append(" " + argFormatter.GetFormattedArgument(ControlGroup, true)); //7
arguments.Append(" " + argFormatter.GetFormattedArgument(Significance, false)); //8
if (ChangeType == ChangeTypeOption.Percent)
{
arguments.Append(" " + "Percent"); //9
arguments.Append(" " + argFormatter.GetFormattedArgument(PercentChange, false)); //10
}
else
{
arguments.Append(" " + "Absolute"); //9
arguments.Append(" " + argFormatter.GetFormattedArgument(AbsoluteChange, false)); //10
}
if (PlottingRangeType == PlottingRangeTypeOption.SampleSize)
{
arguments.Append(" " + "SampleSize"); //11
arguments.Append(" " + argFormatter.GetFormattedArgument(SampleSizeFrom)); //12
arguments.Append(" " + argFormatter.GetFormattedArgument(SampleSizeTo)); //13
}
else
{
arguments.Append(" " + "PowerAxis"); //11
arguments.Append(" " + argFormatter.GetFormattedArgument(PowerFrom)); //12
arguments.Append(" " + argFormatter.GetFormattedArgument(PowerTo)); //13
}
arguments.Append(" " + argFormatter.GetFormattedArgument(GraphTitle, false)); //14
return(arguments.ToString().Trim());
}
public override string GetCommandLineArguments()
{
ArgumentFormatter argFormatter = new ArgumentFormatter();
StringBuilder arguments = new StringBuilder();
//first thing to do is to assemble the model (use the GetModel method)
arguments.Append(" " + argFormatter.GetFormattedArgument(GetModel(), true)); //4
string scatterplotModel = argFormatter.GetFormattedArgument(Response + "~scatterPlotColumn", true);
arguments.Append(" " + scatterplotModel); //5
//assemble a model for the covariate plot (if a covariate has been chosen)...
arguments.Append(" " + argFormatter.GetFormattedArgument(Covariates)); //6
//get transforms
arguments.Append(" " + argFormatter.GetFormattedArgument(ResponseTransformation, false)); //7
arguments.Append(" " + argFormatter.GetFormattedArgument(CovariateTransformation, false)); //8
arguments.Append(" " + argFormatter.GetFormattedArgument(PrimaryFactor, true)); //9
arguments.Append(" " + argFormatter.GetFormattedArgument(Treatments)); //10
arguments.Append(" " + argFormatter.GetFormattedArgument(OtherDesignFactors)); //11
arguments.Append(" " + argFormatter.GetFormattedArgument(EquivalenceBoundsType.ToString())); //12
if (EquivalenceBoundsType == EquivalenceBoundsOption.Absolute)
{
arguments.Append(" " + argFormatter.GetFormattedArgument(LowerBoundAbsolute)); //13
arguments.Append(" " + argFormatter.GetFormattedArgument(UpperBoundAbsolute)); //14
}
else
{
arguments.Append(" " + argFormatter.GetFormattedArgument(LowerBoundPercentageChange)); //13
arguments.Append(" " + argFormatter.GetFormattedArgument(UpperBoundPercentageChange)); //14
}
arguments.Append(" " + argFormatter.GetFormattedArgument(PRPlotSelected)); //15
arguments.Append(" " + argFormatter.GetFormattedArgument(NormalPlotSelected)); //16
arguments.Append(" " + Significance); //17
//assemble the effect model
if (String.IsNullOrEmpty(SelectedEffect)) //18, 19
{
arguments.Append(" " + "NULL");
arguments.Append(" " + "NULL");
}
else
{
arguments.Append(" " + argFormatter.GetFormattedArgument(GetEffectModel(), true));
arguments.Append(" " + argFormatter.GetFormattedArgument(SelectedEffect, true));
}
arguments.Append(" " + argFormatter.GetFormattedArgument(LSMeansSelected)); //20
arguments.Append(" " + argFormatter.GetFormattedArgument(ComparisonType.ToString())); //21
arguments.Append(" " + argFormatter.GetFormattedArgument(ControlGroup, false)); //22
return(arguments.ToString().Trim());
}
public override string GetCommandLineArguments()
{
ArgumentFormatter argFormatter = new ArgumentFormatter();
StringBuilder arguments = new StringBuilder();
//first thing to do is to assemble the model (use the GetModel method)
arguments.Append(" " + argFormatter.GetFormattedArgument(GetModel(), true)); //4
string scatterplotModel = argFormatter.GetFormattedArgument(Response + "~scatterPlotColumn", true);
arguments.Append(" " + scatterplotModel); //5
arguments.Append(" " + argFormatter.GetFormattedArgument(PositiveResult)); //6
//assemble a model for the covariate plot (if a covariate has been chosen)...
arguments.Append(" " + argFormatter.GetFormattedArgument(Covariates)); //7
//get transforms
arguments.Append(" " + argFormatter.GetFormattedArgument(CovariateTransformation, false)); //8
arguments.Append(" " + argFormatter.GetFormattedArgument(Treatments)); //9
arguments.Append(" " + argFormatter.GetFormattedArgument(ContinuousFactors)); //10
arguments.Append(" " + argFormatter.GetFormattedArgument(ContinuousFactorsTransformation, false)); //11
arguments.Append(" " + argFormatter.GetFormattedArgument(OtherDesignFactors)); //12
arguments.Append(" " + argFormatter.GetFormattedArgument(TableOfOverallEffectTests)); //13
arguments.Append(" " + argFormatter.GetFormattedArgument(OddsRatio)); //14
arguments.Append(" " + argFormatter.GetFormattedArgument(ModelPredictionAssessment)); //15
arguments.Append(" " + argFormatter.GetFormattedArgument(PlotOfModelPredicted)); //16
arguments.Append(" " + argFormatter.GetFormattedArgument(TableOfModelPredictions)); //17
arguments.Append(" " + argFormatter.GetFormattedArgument(GoodnessOfFitTest)); //18
arguments.Append(" " + argFormatter.GetFormattedArgument(ROCCurve)); //19
arguments.Append(" " + Significance); //20
return(arguments.ToString().Trim());
}
public override string GetCommandLineArguments()
{
ArgumentFormatter argFormatter = new ArgumentFormatter();
StringBuilder arguments = new StringBuilder();
//first thing to do is to assemble the model (use the GetModel method)
arguments.Append(" " + argFormatter.GetFormattedArgument(Responses)); //4
arguments.Append(" " + argFormatter.GetFormattedArgument(ResponseTransformation, false)); //5
arguments.Append(" " + argFormatter.GetFormattedArgument(CategoricalPredictor, true)); //6
arguments.Append(" " + argFormatter.GetFormattedArgument(ContinuousPredictors)); //7
arguments.Append(" " + argFormatter.GetFormattedArgument(CaseID, true)); //8
arguments.Append(" " + argFormatter.GetFormattedArgument(AnalysisType.ToString(), false)); //9
arguments.Append(" " + argFormatter.GetFormattedArgument(NoOfClusters)); //10
arguments.Append(" " + argFormatter.GetFormattedArgument(DistanceMethod, false)); //11
arguments.Append(" " + argFormatter.GetFormattedArgument(AgglomerationMethod, false)); //12
arguments.Append(" " + argFormatter.GetFormattedArgument(PlotLabel, false)); //13
arguments.Append(" " + argFormatter.GetFormattedArgument(NoOfComponents)); //14
arguments.Append(" " + argFormatter.GetFormattedArgument(ResponseCentring.Replace(' ', '_'), false)); //15
arguments.Append(" " + argFormatter.GetFormattedArgument(ResponseScale.Replace(' ', '_'), false)); //16
return(arguments.ToString().Trim());
}