Univariable (FSharp.Stats)

Univariable Module

Namespace: FSharp.Stats.Fitting
Assembly: FSharp.Stats.dll
Parent Module: Linear

Univariable handles two dimensional x,y data.

Functions and values

Function or value	Description
`coefficient xData yData` Full Usage: `coefficient xData yData` Parameters: xData : `Vector<float>` yData : `Vector<float>` Returns: `Vector<float>`	Calculates the coefficients for linear regression in the form of [\|intercept; slope;\|] xData : `Vector<float>` yData : `Vector<float>` Returns: `Vector<float>`
`coefficientCholesky xData yData` Full Usage: `coefficientCholesky xData yData` Parameters: xData : `Vector<float>` yData : `Vector<float>` Returns: `Vector<float>`	Calculates the coefficients for linear regression in the form of [\|intercept; slope;\|] using Cholesky Decomposition xData : `Vector<float>` yData : `Vector<float>` Returns: `Vector<float>`
`coefficientConstrained xData yData (arg3, arg4)` Full Usage: `coefficientConstrained xData yData (arg3, arg4)` Parameters: xData : `Vector<float>` yData : `Vector<float>` arg2 : `float` arg3 : `float` Returns: `float[]`	Calculates the coefficients for linear regression through a specified point (xC,yC) xData : `Vector<float>` yData : `Vector<float>` arg2 : `float` arg3 : `float` Returns: `float[]`
`cooksDistance xData yData` Full Usage: `cooksDistance xData yData` Parameters: xData : `Vector<float>` yData : `Vector<float>` Returns: `vector`	Fits a model (y(x) = b + m * x) to the data and returns the cooks distance for every data pair present in the input collections as an estimator for the influence of each data point in coefficient estimation. xData : `Vector<float>` yData : `Vector<float>` Returns: `vector`
`fit coef x` Full Usage: `fit coef x` Parameters: coef : `Vector<float>` x : `float` Returns: `float`	Fit to x coef : `Vector<float>` x : `float` Returns: `float`