LP.comean {LPKsample} | R Documentation |
Function to find LP-comeans
Description
The function computes the LP comeans between x
and y
.
Usage
LP.comean(x, y, perm=0)
Arguments
x |
vector, observations of an univariate random variable |
y |
vector, observations of another univariate random variable |
perm |
Number of permutations for approximating p-value, set to 0 to use asymptotic p-value. |
Value
A list containing:
LPINFOR |
The test statistics based on LP comeans |
p.val |
Test p-value |
LP.matrix |
LP comean matrix |
Author(s)
Mukhopadhyay, S. and Wang, K.
References
Mukhopadhyay, S. and Wang, K. (2020), "A Nonparametric Approach to High-dimensional K-sample Comparison Problem", arXiv:1810.01724.
Parzen, E. and Mukhopadhyay, S. (2012) "Modeling, Dependence, Classification, United Statistical Science, Many Cultures".
Examples
#example: LP-comean for two simple vectors:
y<-c(1,2,3,4,5)
z<-c(0,-1,-1,3,4)
comeanYZ=LP.comean(y,z)
#sum square statistics of LP comean:
comeanYZ$LPINFOR
#p-value:
comeanYZ$p.val
#comean matrix:
comeanYZ$LP.matrix
[Package LPKsample version 2.1 Index]