illustrateCLT
From distrEx v1.9
by Matthias Kohl
Functions for Illustrating the CLT
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
.
- Keywords
- methods, distribution, dynamic
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
concept
- illustration
- teaching
- CLT
See Also
Examples
distroptions("DefaultNrFFTGridPointsExponent" = 13)
illustrateCLT(Distr = Unif(), len = 20)
distroptions("DefaultNrFFTGridPointsExponent" = 12)
illustrateCLT(Distr = Pois(lambda = 2), len = 20)
distroptions("DefaultNrFFTGridPointsExponent" = 13)
illustrateCLT(Distr = Pois(lambda = 2)+Unif(), len = 20)
illustrateCLT.tcl(Distr = Unif(), k = 4, "Unif()")
Community examples
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