RcppKgCor: Kernel Gini Distance Correlation Statistics

In GiniDistance: A New Gini Correlation Between Quantitative and Qualitative Variables

Kernel Gini Distance Correlation Statistics

Description

Computes Kernel Gini distance correlation statistics, in which Xs are quantitative, Y are categorical, sigma is kernel standard deviation and return the kernel Gini mean difference.

Usage

  RcppKgCor(x, y, sigma)

Arguments

x	data
y	label of data or univariate response variable
sigma	kernel standard deviation

Details

RcppKgCor compute kernel Gini distance correlation statistics for data. It is Rcpp version of KgCor.

Value

RcppKgCor returns the sample Kernel Gini distance covariance

See Also

gCov gCor dCor

Examples

  n=100
  x<-runif(n)
  y<-c(rep(1,n/2),rep(2,n/2))
  RcppKgCor(x, y, sigma=1)

GiniDistance documentation built on Sept. 2, 2022, 9:06 a.m.