# 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

 ```1 2``` ```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.

`depchi`,`BinPer`
 ```1 2 3 4 5``` ```#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) ```