R: Linear Correlation

lin.cor {philentropy} | R Documentation

## Linear Correlation

### Description

This function computed the linear correlation between two vectors or a correlation matrix for an input matrix.

The following methods to compute linear correlations are implemented in this function:

### Usage

    lin.cor(x, y = NULL, method = "pearson", test.na = FALSE)

### Arguments

`x` | a numeric `vector`, `matrix`, or `data.frame`.
`y` | a numeric `vector` that should be correlated with `x`.
`method` | the method to compute the linear correlation between `x` and `y`.
`test.na` | a boolean value indicating whether input data should be checked for `NA` values.

### Details

- `method = "pearson"` : Pearson's correlation coefficient (centred).

- `method = "pearson2"` : Pearson's uncentred correlation coefficient.

- `method = "sq_pearson"` . Squared Pearson's correlation coefficient.

- `method = "kendall"` : Kendall's correlation coefficient.

- `method = "spearman"` : Spearman's correlation coefficient.

Further Details:

- Pearson's correlation coefficient (centred) :

### Author(s)

Hajk-Georg Drost

[Package philentropy version 0.6.0 Index]