# law-plot2d: Interactive 2D convergence in law In ConvergenceConcepts: Seeing Convergence Concepts in Action

## Description

This function enables one to draw the interactive 2D plot to investigate convergence in law.

## Usage

 `1` ```law.plot2d(data,density=FALSE,densfunc=dnorm,probfunc=pnorm,tinf=-5,tsup=5) ```

## Arguments

 `data` matrix containing the sample paths of Xn values. `density` if density=TRUE, then the plot of the density of X and the histogram of Xn is returned. If density=FALSE, then the plot of the distribution function F(t) of X and the empirical distribution Fn(t) of Xn is returned. `densfunc` function to compute the density of X. `probfunc` function to compute the distribution function of X. `tinf` lower limit for investigating convergence in law. `tsup` upper limit for investigating convergence in law.

## Author(s)

P. Lafaye de Micheaux and B. Liquet

## References

Lafaye de Micheaux, P. ([email protected]), Liquet, B. "Understanding Convergence Concepts: a Visual-Minded and Graphical Simulation-Based Approach", The American Statistician, 63:2, 173–178, (2009).

`check.convergence`, `criterion`, `generate`, `investigate`, `law.plot3d`, `p.as.plot`, `visualize.crit`, `visualize.sp`

## Examples

 ```1 2 3``` ```rand <- function(n){(cumsum(rchisq(n,df=1))-(1:n))/sqrt(2*(1:n))} data <- generate(randomgen=rand,nmax=1000,M=500)\$data law.plot2d(data) ```

ConvergenceConcepts documentation built on May 29, 2017, 11:03 p.m.