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lin.cor

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

philentropy

Similarity and Distance Quantification Between Probability Functions

v0.4.0
GPL-2
Authors
Hajk-Georg Drost [aut, cre] (<https://orcid.org/0000-0002-1567-306X>)
Initial release
2020-01-09

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