IllustCLT: Functions for Illustrating the CLT

In distrTeach: Extensions of Package 'distr' for Teaching Stochastics/Statistics in Secondary School

Functions for Illustrating the CLT

Description

Functions for generating a sequence of plots of the density and cdf of the consecutive standardized and centered sums of iid r.v. distributed according to a prescribed discrete or absolutely continuous distribution compared to the standard normal — uses the generic function plotCLT.

Usage

illustrateCLT(Distr, len, sleep = 0)
illustrateCLT.tcl(Distr, k, Distrname)

Arguments

Distr	object of class "AbscontDistribution", "LatticeDistribution" or "DiscreteDistribution": distribution of the summands
len	integer: up to which number of summands plots are generated
k	integer: number of summands for which a plot is to be generated
Distrname	character: name of the summand distribution to be used as title in the plot
sleep	numeric: pause in seconds between subsequent plots

Details

illustrateCLT generates a sequence of plots, while illustrateCLT.tcl may be used with Tcl/Tk-widgets as in demo illustCLT_tcl.R.

Value

void

Author(s)

Matthias Kohl [e-mail]
Peter Ruckdeschel [e-mail]

References

Kohl, M., Ruckdeschel, P., (2014): General purpose convolution algorithm for distributions in S4-Classes by means of FFT. J. Statist. Softw. 59(4): 1-25.

See Also

plotCLT

Examples

distroptions("DefaultNrFFTGridPointsExponent" = 13)
illustrateCLT(Distr = Unif(), len = 10)
distroptions("DefaultNrFFTGridPointsExponent" = 12)
illustrateCLT(Distr = Pois(lambda = 2), len = 10)
distroptions("DefaultNrFFTGridPointsExponent" = 13)
illustrateCLT(Distr = Pois(lambda = 2)+Unif(), len = 10)
illustrateCLT.tcl(Distr = Unif(), k = 4, "Unif()")

distrTeach documentation built on Jan. 31, 2024, 3:07 a.m.