/// <summary>
/// Does the standard deviation on an entire pupulation.
/// </summary>
/// <param name="listToDoStandardDeviationOn">This is the list of the entire population to have their standaerd deviation Calulated.</param>
/// <param name="standardDeviation">This is the calculated standard Deviation.</param>
/// <returns>Returns true if the standard Deviation succeaded, else false.</returns>
public static bool TryStandardDeviationEntirePopulation(IEnumerable <double> listToDoStandardDeviationOn, out double standardDeviation)
{
standardDeviation = System.Math.Sqrt(StatisticsFunctionHelper.VarianceForAnEntirePopulation(listToDoStandardDeviationOn));
if (standardDeviation == 0 && listToDoStandardDeviationOn.All(x => x == -1))
{
return(false);
}
return(true);
}
private bool TryStandardDeviationEntirePopulation(List <double> listToDoStandardDeviationOn, out double standardDeviation)
{
standardDeviation = MathObj.Sqrt(StatisticsFunctionHelper.VarianceForAnEntirePopulation(listToDoStandardDeviationOn));
if (standardDeviation == 0 && listToDoStandardDeviationOn.All(x => x == -1))
{
return(false);
}
return(true);
}
/// <summary>
/// Executes the Excel STDEV function.
/// </summary>
/// <param name="arguments">The arguments to execute the function with.</param>
/// <param name="context">The context to execute the function under.</param>
/// <returns>The result of the function evaluation.</returns>
public override CompileResult Execute(IEnumerable <FunctionArgument> arguments, ParsingContext context)
{
if (this.ArgumentsAreValid(arguments, 1, out eErrorType argumentError) == false)
{
return(new CompileResult(argumentError));
}
var values = base.ArgsToDoubleEnumerable(arguments, context, false);
return(base.CreateResult(StatisticsFunctionHelper.Stdev(values), DataType.Decimal));
}
/// <summary>
/// The standard deviation is a measure of how widely values are dispersed from the average value (the mean).
/// Logical values and text representations of numbers that you type directly into the list of arguments are counted.
/// If an argument is an array or reference, only numbers in that array or reference are counted.Empty cells, logical values, text, or error values in the array or reference are ignored.
/// </summary>
/// <param name="arguments">Up to 254 individual arguments.</param>
/// <param name="context">Unused, this is information about where the function is being executed.</param>
/// <returns>The standard deviation based on the entire population.</returns>
public override CompileResult Execute(IEnumerable <FunctionArgument> arguments, ParsingContext context)
{
if (this.ArgumentsAreValid(arguments, 1, out eErrorType argumentError) == false)
{
return(new CompileResult(argumentError));
}
//Note: This follows the Functionality of excel which is diffrent from the excel documentation.
//If you pass in a null Stdev.P(1,1,1,,) it will treat those emtpy spaces as zeros insted of ignoring them.
List <double> listToDoStandardDeviationOn = new List <double>();
bool onlyStringInputsGiven = true;
foreach (var item in arguments)
{
if (item.ValueAsRangeInfo != null)
{
foreach (var cell in item.ValueAsRangeInfo)
{
if (StatisticsFunctionHelper.TryToParseValuesFromInputArgumentByRefrenceOrRange(this.IgnoreHiddenValues, cell, context, false, out double numberToAddToList, out bool onlyStringInputsGiven1))
{
listToDoStandardDeviationOn.Add(numberToAddToList);
}
onlyStringInputsGiven = onlyStringInputsGiven1;
}
}
else
{
if (StatisticsFunctionHelper.TryToParseValuesFromInputArgument(this.IgnoreHiddenValues, item, context, out double numberToAddToList, out bool onlyStringInputsGiven2))
{
listToDoStandardDeviationOn.Add(numberToAddToList);
}
onlyStringInputsGiven = onlyStringInputsGiven2;
if (item.ValueFirst == null)
{
listToDoStandardDeviationOn.Add(0.0);
}
}
}
if (onlyStringInputsGiven)
{
return(new CompileResult(eErrorType.Value));
}
if (listToDoStandardDeviationOn.Count() == 0)
{
return(new CompileResult(eErrorType.Div0));
}
if (!StatisticsFunctionHelper.TryStandardDeviationEntirePopulation(listToDoStandardDeviationOn, out double standardDeviation))
{
return(new CompileResult(eErrorType.Value));
}
return(this.CreateResult(standardDeviation, DataType.Decimal));
}
/// <summary>
/// Does the standard deviation on an sample pupulation.
/// </summary>
/// <param name="listToDoStandardDeviationOn">This is the list of the sample population to have their standaerd deviation Calulated.</param>
/// <param name="standardDeviation">This is the calculated standard Deviation.</param>
/// <returns>Returns true if the standard Deviation succeaded, else false.</returns>
public static bool TryStandardDeviationOnASamplePopulation(List <double> listToDoStandardDeviationOn, out double standardDeviation)
{
standardDeviation = System.Math.Sqrt(StatisticsFunctionHelper.VarianceForASample(listToDoStandardDeviationOn));
if (listToDoStandardDeviationOn.Count() <= 1)
{
return(false);
}
if (standardDeviation == 0 && listToDoStandardDeviationOn.All(x => x == -1))
{
return(false);
}
return(true);
}
public override CompileResult Execute(IEnumerable <FunctionArgument> arguments, ParsingContext context)
{
if (this.ArgumentsAreValid(arguments, 1, out eErrorType argumentError) == false)
{
return(new CompileResult(argumentError));
}
List <double> listToDoVarianceOn = new List <double>();
foreach (var item in arguments)
{
if (item.ValueAsRangeInfo != null)
{
foreach (var cell in item.ValueAsRangeInfo)
{
if (StatisticsFunctionHelper.TryToParseValuesFromInputArgumentByRefrenceOrRange(this.IgnoreHiddenValues, cell, context, false, out double numberToAddToList, out bool onlyStringInputsGiven1))
{
listToDoVarianceOn.Add(numberToAddToList);
}
}
}
else
{
if (StatisticsFunctionHelper.TryToParseValuesFromInputArgument(this.IgnoreHiddenValues, item, context, out double numberToAddToList, out bool onlyStringInputsGiven2))
{
listToDoVarianceOn.Add(numberToAddToList);
}
if (item.ValueFirst == null)
{
listToDoVarianceOn.Add(0.0);
}
}
}
if (listToDoVarianceOn.Count() == 0)
{
return(new CompileResult(eErrorType.Div0));
}
if (!StatisticsFunctionHelper.TryVarSamplePopulationForAValueErrorCheck(listToDoVarianceOn, out double variance))
{
return(new CompileResult(eErrorType.Value));
}
return(new CompileResult(variance, DataType.Decimal));
}
