Correlation (FSharp.Stats)

Correlation Module

Namespace: FSharp.Stats.Testing
Assembly: FSharp.Stats.dll

Functions and values

Function or value	Description
`testKendallByPermutation seq1 seq2 permutations` Full Usage: `testKendallByPermutation seq1 seq2 permutations` Parameters: seq1 : `'a[]` seq2 : `'a[]` permutations : `int` Returns: `float` Modifiers: inline Type parameters: 'a	Calculates a two tailed permutation test p value for kendall correlation coefficient seq1 : `'a[]` seq2 : `'a[]` permutations : `int` Returns: `float`
`testPearson seq1 seq2` Full Usage: `testPearson seq1 seq2` Parameters: seq1 : `^T seq` seq2 : `^T seq` Returns: `TTestStatistics<float>` Modifiers: inline Type parameters: ^T	A correlation significance is obtained by usage of students t-distribution seq1 : `^T seq` seq2 : `^T seq` Returns: `TTestStatistics<float>`
`testPearsonByPermutation seq1 seq2 permutations` Full Usage: `testPearsonByPermutation seq1 seq2 permutations` Parameters: seq1 : `^a[]` seq2 : `^a[]` permutations : `int` Returns: `float` Modifiers: inline Type parameters: ^a	Calculates a two tailed permutation test p value for pearson correlation coefficient seq1 : `^a[]` seq2 : `^a[]` permutations : `int` Returns: `float`
`testSpearmanByPermutation seq1 seq2 permutations` Full Usage: `testSpearmanByPermutation seq1 seq2 permutations` Parameters: seq1 : `^a[]` seq2 : `^a[]` permutations : `int` Returns: `float` Modifiers: inline Type parameters: ^a	Calculates a two tailed permutation test p value for spearman correlation coefficient seq1 : `^a[]` seq2 : `^a[]` permutations : `int` Returns: `float`