Statistics (FsODE)

FsODE

Documentation for 0.0.2

Statistics Type

Namespace: Altaxo.Calc.Probability
Assembly: AltaxoCore.Redist.dll
Base Type: obj

Static members

Static member	Description
`Statistics.InterQuartileRange(x)` Full Usage: `Statistics.InterQuartileRange(x)` Parameters: x : `IReadOnlyList<float>` Returns: `float`	x : `IReadOnlyList<float>` Returns: `float`
`Statistics.MassDistribution(x, xmass, xlow, xhigh, y, ny)` Full Usage: `Statistics.MassDistribution(x, xmass, xlow, xhigh, y, ny)` Parameters: x : `IReadOnlyList<float>` - xmass : `IReadOnlyList<float>` - xlow : `float` - xhigh : `float` - y : `IVector<float>` - ny : `int` -	Adapted from the R-project (www.r-project.org), Version 2.72, file massdist.c x : `IReadOnlyList<float>` xmass : `IReadOnlyList<float>` xlow : `float` xhigh : `float` y : `IVector<float>` ny : `int`
`Statistics.Mean(x)` Full Usage: `Statistics.Mean(x)` Parameters: x : `IReadOnlyList<float>` Returns: `float`	x : `IReadOnlyList<float>` Returns: `float`
`Statistics.Mean(x, ignoreNaN)` Full Usage: `Statistics.Mean(x, ignoreNaN)` Parameters: x : `IReadOnlyList<float>` ignoreNaN : `bool` Returns: `float`	x : `IReadOnlyList<float>` ignoreNaN : `bool` Returns: `float`
`Statistics.ProbabilityDensity(x, bw, bwSel, adjust, kernel, weights, width, widthSel, n, from, to, cut)` Full Usage: `Statistics.ProbabilityDensity(x, bw, bwSel, adjust, kernel, weights, width, widthSel, n, from, to, cut)` Parameters: x : `IReadOnlyList<float>` - bw : `float` - bwSel : `string` - adjust : `float` - kernel : `ConvolutionKernel` - weights : `IReadOnlyList<float>` - width : `float` - widthSel : `string` - n : `int` - from : `float` - to : `float` - cut : `float` - Returns: `ProbabilityDensityResult`	Adapted from the R-project (www.r-project.org), Version 2.72, file density.R x : `IReadOnlyList<float>` bw : `float` bwSel : `string` adjust : `float` kernel : `ConvolutionKernel` weights : `IReadOnlyList<float>` width : `float` widthSel : `string` n : `int` from : `float` to : `float` cut : `float` Returns: `ProbabilityDensityResult`
`Statistics.Quantile(x, f)` Full Usage: `Statistics.Quantile(x, f)` Parameters: x : `IReadOnlyList<float>` - Sorted array (in ascending order) of data. No check is made whether the array is sorted or contains missing data (NaNs). f : `float` - The quantile [0,1]. Returns: `float` The quantile value of the array of data.	The quantile value of x. x : `IReadOnlyList<float>` Sorted array (in ascending order) of data. No check is made whether the array is sorted or contains missing data (NaNs). f : `float` The quantile [0,1]. Returns: `float` The quantile value of the array of data.
`Statistics.Quantile(x, f, n, stride, checkArray)` Full Usage: `Statistics.Quantile(x, f, n, stride, checkArray)` Parameters: x : `IReadOnlyList<float>` - Sorted array (in ascending order) of data. No check is made whether the array is sorted or contains missing data (NaNs). f : `float` - The quantile [0,1]. n : `int` - Number of values to test. Normally set to `x.Length`. stride : `int` - Stride. Normally set to 1. checkArray : `bool` - If true, checks the array for missing values and whether the array is sorted. An exception is thrown if the array contains missing values or is not sorted. Returns: `float` The quantile value of the array of data.	The quantile value of x. x : `IReadOnlyList<float>` Sorted array (in ascending order) of data. No check is made whether the array is sorted or contains missing data (NaNs). f : `float` The quantile [0,1]. n : `int` Number of values to test. Normally set to `x.Length`. stride : `int` Stride. Normally set to 1. checkArray : `bool` If true, checks the array for missing values and whether the array is sorted. An exception is thrown if the array contains missing values or is not sorted. Returns: `float` The quantile value of the array of data.
`Statistics.StandardDeviation(x)` Full Usage: `Statistics.StandardDeviation(x)` Parameters: x : `IReadOnlyList<float>` Returns: `float`	x : `IReadOnlyList<float>` Returns: `float`