Matrix (FSharp.Stats) | FSharp.Stats

FSharp.Stats

Matrix Module

Namespace: FSharp.Stats
Assembly: FSharp.Stats.dll
Parent Module: Correlation

Contains correlation functions optimized for matrices

Functions and values

Function or value	Description
`columnWiseBicor m` Full Usage: `columnWiseBicor m` Parameters: m : `Matrix<float>` - Returns: `Matrix<float>`	Computes the columnwise biweighted midcorrelation matrix for the input matrix m : `Matrix<float>` Returns: `Matrix<float>` Example
`columnWiseCorrelationMatrix corrFunction m` Full Usage: `columnWiseCorrelationMatrix corrFunction m` Parameters: corrFunction : `float seq -> float seq -> float` - m : `Matrix<float>` - Returns: `Matrix<float>`	computes a matrix that contains the metric given by the corrFunction parameter applied columnwise for every column against every other column of the input matrix corrFunction : `float seq -> float seq -> float` m : `Matrix<float>` Returns: `Matrix<float>` Example
`columnWisePearson m` Full Usage: `columnWisePearson m` Parameters: m : `Matrix<float>` - Returns: `Matrix<float>`	computes the columnwise pearson correlation matrix for the input matrix m : `Matrix<float>` Returns: `Matrix<float>` Example
`rowWiseBicor m` Full Usage: `rowWiseBicor m` Parameters: m : `Matrix<float>` - Returns: `Matrix<float>`	Computes the rowwise biweighted midcorrelation matrix for the input matrix m : `Matrix<float>` Returns: `Matrix<float>` Example
`rowWiseCorrelationMatrix corrFunction m` Full Usage: `rowWiseCorrelationMatrix corrFunction m` Parameters: corrFunction : `float seq -> float seq -> float` - m : `Matrix<float>` - Returns: `Matrix<float>`	computes a matrix that contains the metric given by the corrFunction parameter applied rowwise for every row against every other row of the input matrix corrFunction : `float seq -> float seq -> float` m : `Matrix<float>` Returns: `Matrix<float>` Example
`rowWisePearson m` Full Usage: `rowWisePearson m` Parameters: m : `Matrix<float>` - Returns: `Matrix<float>`	computes the rowwise pearson correlation matrix for the input matrix m : `Matrix<float>` Returns: `Matrix<float>` Example
`rv2 x y` Full Usage: `rv2 x y` Parameters: x : `Matrix<float>` - y : `Matrix<float>` - Returns: `float`	Computes the rv2 coefficient. x : `Matrix<float>` y : `Matrix<float>` Returns: `float` Example