R: Function to compute generalized correlation coefficients...
rstar
R Documentation
Function to compute generalized correlation coefficients r*(x,y).
Description
Uses Vinod (2015) definition of generalized (asymmetric) correlation
coefficients. It requires kernel regression of x on y obtained by using the ‘np’ package.
It also reports usual Pearson correlation coefficient r and p-value for testing
the null hypothesis that (population r)=0.
Usage
rstar(x, y)
Arguments
x
Vector of data on the dependent variable
y
Vector of data on the regressor
Value
Four objects created by this function are:
corxy
r*x|y or regressing x on y
coryx
r*y|x or regressing y on x
pearson.r
Pearson's product moment correlation coefficient
pv
The p-value for testing the Pearson r
Note
This function needs the kern function which in turn needs the np package.
Author(s)
Prof. H. D. Vinod, Economics Dept., Fordham University, NY
References
Vinod, H. D.'Generalized Correlation and Kernel Causality with
Applications in Development Economics' in Communications in
Statistics -Simulation and Computation, 2015,
http://dx.doi.org/10.1080/03610918.2015.1122048
Vinod, H. D. 'Matrix Algebra Topics in Statistics and Economics
Using R', Chapter 4 in Handbook of Statistics: Computational Statistics
with R, Vol.32, co-editors: M. B. Rao and C.R. Rao. New York:
North Holland, Elsevier Science Publishers, 2014, pp. 143-176.