QuickLinearRegression (FsODE)

FsODE

Documentation for 0.0.2

QuickLinearRegression Type

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

Class for doing a quick and dirty regression of order 1 only returning intercept and slope. Can not handle too big or too input values.

Constructors

Constructor	Description
`QuickLinearRegression()` Full Usage: `QuickLinearRegression()`

Instance members

Instance member	Description
`this.Add` Full Usage: `this.Add` Parameters: x : `float` - The x value of the data point. y : `float` - The y value of the data point.	Adds a data point to the regression. x : `float` The x value of the data point. y : `float` The y value of the data point.
`this.AddRange` Full Usage: `this.AddRange` Parameters: values : `IEnumerable<float * float>` - The data points to add.	Adds data points to the statistics. values : `IEnumerable<float * float>` The data points to add.
`this.GetA0` Full Usage: `this.GetA0` Returns: `float` The intercept value or NaN if not enough data points are entered.	Gets the intercept value of the linear regression. Returns NaN if not enough data points entered. Returns: `float` The intercept value or NaN if not enough data points are entered.
`this.GetA1` Full Usage: `this.GetA1` Returns: `float` The slope value or NaN if not enough data points are entered.	Gets the slope value of the linear regression. Returns NaN if not enough data points entered. Returns: `float` The slope value or NaN if not enough data points are entered.
`this.GetDeterminant` Full Usage: `this.GetDeterminant` Returns: `float` The determinant of the regression.	Returns the determinant of regression. If zero, not enough data points have been entered. Returns: `float` The determinant of the regression.
`this.GetX0` Full Usage: `this.GetX0` Returns: `float` The intercept value with the X-Axis, i.e. the point where the regression value is zero. Returns NaN if not enough data points are entered.	Gets the intercept of the linear regression with the X-axis. Returns NaN if not enough data points entered. Returns: `float` The intercept value with the X-Axis, i.e. the point where the regression value is zero. Returns NaN if not enough data points are entered.
`this.GetYOfX` Full Usage: `this.GetYOfX` Parameters: x : `float` - The x value. Returns: `float` The y value at the value x.	Gets the y value for a given x value. Note that in every call of this function the coefficients a0 and a1 are calculated again. For repeated calls, better use QuickLinearRegression.GetYOfXFunction, but note that this function represents the state of the regression at the time of this call. x : `float` The x value. Returns: `float` The y value at the value x.
`this.GetYOfXFunction` Full Usage: `this.GetYOfXFunction` Returns: `Func<float, float>` A function to calculate y in dependence of x.	Returns a function to calculate y in dependence of x. Please note note that the returned function represents the state of the regression at the time of the call, i.e. subsequent additions of data does not change the function. Returns: `Func<float, float>` A function to calculate y in dependence of x.
`this.MeanX` Full Usage: `this.MeanX` Returns: `float`	Returns: `float`
`this.MeanY` Full Usage: `this.MeanY` Returns: `float`	Returns: `float`
`this.N` Full Usage: `this.N` Returns: `float`	Returns the number of entries added. Returns: `float`
`this.PearsonCorrelationCoefficient` Full Usage: `this.PearsonCorrelationCoefficient` Returns: `float`	Returns: `float`