Nothing

```
#' Demonstration of Law of Large Numbers
#'
#' This function plots the sample mean as the sample size grows to check whether
#' the sample mean approaches to the population mean.
#'
#' \code{np} points are plotted to denote the distribution of the sample mean;
#' we will observe that the range of the sample mean just becomes smaller and
#' smaller as the sample size increases and ultimately there will be an obvious
#' trend that the sample mean converges to the population mean \code{mu}.
#'
#' The parameter \code{nmax} in \code{\link{ani.options}} means the maximum
#' sample size.
#'
#' @param FUN a function to generate random numbers from a certain distribution:
#' \code{function(n, mu)}
#' @param mu population mean; passed to \code{FUN}
#' @param np times for sampling from a distribution (not the sample size!); to
#' examine the behaviour of the sample mean, we need more times of sampling to
#' get a series of mean values
#' @param pch symbols for points; see Details
#' @param col.poly the color of the polygon to annotate the range of sample
#' means
#' @param col.mu the color of the horizontal line which denotes the population
#' mean
#' @param \dots other arguments passed to \code{\link{points}}
#' @return None (invisible \code{NULL}).
#' @note The argument \code{pch} will influence the speed of plotting, and for a
#' very large sample size (say, 300), it is suggested that this argument be
#' specified as `\code{.}'.
#' @author Yihui Xie
#' @references Examples at \url{https://yihui.name/animation/example/lln-ani/}
#' @export
lln.ani = function(
FUN = rnorm, mu = 0, np = 30, pch = 20, col.poly = 'bisque', col.mu = 'gray', ...
) {
n = ani.options('nmax')
m = x = NULL
for (i in 1:n) {
d = colMeans(matrix(replicate(np, FUN(i, mu)), i))
m = c(m, d)
x = rbind(x, range(d))
}
rg = range(m)
xax = pretty(1:n)
for (i in 1:n) {
dev.hold()
plot(1:n, ylim = rg, type = 'n', xlab = paste('n =', i), ylab = expression(bar(x)), xaxt = 'n')
axis(1, xax[xax <= i])
polygon(c(1:i, i:1), c(x[1:i, 1], x[i:1, 2]), border = NA, col = col.poly)
points(rep(1:i, each = np), m[1:(i * np)], pch = pch, ...)
abline(h = mu, col = col.mu)
ani.pause()
}
}
```

**Any scripts or data that you put into this service are public.**

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.