# PlotMargP: Plotting the occurrence points of a vector of point processes In IndTestPP: Tests of Independence and Analysis of Dependence Between Point Processes in Time

## Description

This function plots the points in the marginal processes N_{1}, N_{2},..., N_{d} of a vector of point processes.

## Usage

 `1` ```PlotMargP(listpos, T, date=NULL,axispoints=NULL, tcex=1.2, ...) ```

## Arguments

 `listpos` A list of vectors. Each element of the list is the vector of the occurrences in a marginal process. `T` Numeric value. The length of the observed period of the processes. `date` Optional. A vector indicating the date of each observation to be used in the axis of the plot. `axispoints` Optional. Numeric vector with the points in the time index in which axis ticks and labels (from `date`) will be drawn. `tcex` Optional. cex argument, see `par`, for the text labels in the plot. `...` Further arguments to be passed to the function `plot`.

## Details

The points in the d marginal processes N_{1}, N_{2} ,..., N_{d} of a vector of point processes are plotted versus the time index.

If one of the arguments `date` and `axispoints` is NULL, default axis are used. Otherwise, the values in `axispoints` are used as the points in the time index in which axis ticks and labels, from `date`, are drawn.

## Value

A plot.

`PlotMCPSP`
 ```1 2 3 4 5 6``` ```set.seed(123) N1<-runif(50,0,5000) set.seed(124) N2<-runif(42,0,5000) PlotMargP(list(N1=N1, N2=N2),T=5000) ```