| taba {Taba} | R Documentation |
Robust Correlation
Description
Returns the Taba robust linear, Taba rank (monotonic), TabWil, or TabWil rank correlation coefficient between two numeric vectors.
Usage
taba(x, y, method = c("taba", "tabarank","tabwil", "tabwilrank"), omega)
Arguments
x |
A numeric vector of length greater than 2 must be same length as y |
y |
A numeric vector of length greater than 2 must be same length as x |
method |
A character string of |
omega |
Numeric allowing the user to alter the tuning constant. If one is not specified, the function will default to 0.45 for Taba and Taba rank, and 0.1 for TabWil and TabWil rank. Range is between 0 and 1. |
Details
This function can be used to compare two non-empty numeric vectors of
length greater than two, or two columns of a data frame or matrix composed
of more than two numeric elements. Missing values in either x or y are
deleted row-wise. The default method is Taba Linear correlation, with the
tuning constant omega.
Value
This function returns a the robust linear or monotonic association between two numeric vectors as a numeric.
References
Tabatabai, M., Bailey, S., Bursac, Z. et al. An introduction to new robust linear
and monotonic correlation coefficients. BMC Bioinformatics 22, 170 (2021). https://doi.org/10.1186/s12859-021-04098-4
doi: 10.1186/s12859-021-04098-4
See Also
taba.test for testing Taba linear or Taba rank (monotonic) correlations
taba.partial for partial and semipartial correlations
taba.gpartial for generalized partial correlations
taba.matrix for calculating correlation, p-value, and distance matricies
Examples
x = rnorm(100)
y = rnorm(100)
taba(x, y)
taba(x, y, method = "tabarank", omega = 0.4)
taba(x, y, method = "tabwil", omega = 0.22)