buffon.needle {animation}R Documentation

Simulation of Buffon's Needle

Description

This function provides a simulation for the problem of Buffon's Needle, which is one of the oldest problems in the field of geometrical probability.

Usage

buffon.needle(l = 0.8, d = 1, redraw = TRUE, mat = matrix(c(1, 3, 2, 3), 2), 
    heights = c(3, 2), col = c("lightgray", "red", "gray", "red", "blue", "black", 
        "red"), expand = 0.4, type = "l", ...)

Arguments

l

numerical. length of the needle; shorter than d.

d

numerical. distances between lines; it should be longer than l.

redraw

logical. redraw former ‘needles’ or not for each drop.

mat, heights

arguments passed to layout to set the layout of the three graphs.

col

a character vector of length 7 specifying the colors of: background of the area between parallel lines, the needles, the sin curve, points below / above the sin curve, estimated π values, and the true π value.

expand

a numerical value defining the expanding range of the y-axis when plotting the estimated π values: the ylim will be (1 +/- expand) * pi.

type

an argument passed to plot when plotting the estimated π values (default to be lines).

...

other arguments passed to plot when plotting the values of estimated π.

Details

This is quite an old problem in probability. For mathematical background, please refer to http://en.wikipedia.org/wiki/Buffon's_needle or http://www.mste.uiuc.edu/reese/buffon/buffon.html.

‘Needles’ are denoted by segments on the 2D plane, and dropped randomly to check whether they cross the parallel lines. Through many times of ‘dropping’ needles, the approximate value of π can be calculated out.

There are three graphs made in each step: the top-left one is a simulation of the scenario, the top-right one is to help us understand the connection between dropping needles and the mathematical method to estimate π, and the bottom one is the result for each drop.

Value

The values of estimated π are returned as a numerical vector (of length nmax).

Note

Note that redraw has great influence on the speed of the simulation (animation) if the control argument nmax (in ani.options) is quite large, so you'd better specify it as FALSE when doing a large amount of simulations.

The maximum number of drops is specified in ani.options('nmax').

Author(s)

Yihui Xie

References

Examples at https://yihui.name/animation/example/buffon-needle/

Ramaley, J. F. (Oct 1969). Buffon's Noodle Problem. The American Mathematical Monthly 76 (8): 916-918.


[Package animation version 2.5 Index]