CountingCor: Correlation between the counting variables in two point...

In IndTestPP: Tests of Independence and Analysis of Dependence Between Point Processes in Time

Description

This function calculates the correlation coefficient between the number of points in intervals of length ll, in two point processes.

Usage

CountingCor(posx, posy, ll, T,  method='spearman', lambdax=NULL, 
	lambday=NULL)

Arguments

posx	Numeric vector. Occurrence times of the points in the first point process.
posy	Numeric vector. Occurrence times of the points in the second point process.
ll	Numeric value. Lenght of the intervals where the number of points are counted.
T	Numeric value. Length of the observed period of the point processes.
method	Character string. Correlation coefficient to be calculated. One of "pearson", "kendall", or "spearman"; see cor.test for definitions.
lambdax	Numeric vector. Intensity vector of the first point process.
lambday	Numeric vector. Intensity vector of the second point process.

Details

This function calculates ρ_{xy,I_l}=Cor(X_{I_l}, Y_{I_l}), where X_{I_l} and Y_{I_l} are the number of points in an interval I_l in processes N_x and N_y, respectively.

In order to calculate the number of points in each interval in a process, the function CountP is used.

Value

ccor	Estimated correlation.

See Also

depchi,BinPer

Examples

#generation of two HPP
aux1<-simNHPc(lambda=rep(0.08,200),fixed.seed=123)
aux2<-simNHPc(lambda=rep(0.12,200),fixed.seed=125)

CountingCor(aux1$posNH, aux2$posNH,ll=20, method="kendall",T=200)

IndTestPP documentation built on Aug. 29, 2020, 1:06 a.m.