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 |
y |
a numeric |
method |
the method to compute the linear correlation between |
test.na |
a boolean value indicating whether input data should be checked for |
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