Buffon versus Bertrand in R

April 7, 2011
By

(This article was first published on Xi'an's Og » R, and kindly contributed to R-bloggers)

Following my earlier post on Buffon’s needle and Bertrand’s paradox, above are four outcomes corresponding to four different generations (among many) of the needle locations. The upper right-hand side makes a difference in the number of hits (out of 1000). The R code corresponding to this generation was made in the métro, so do not expect subtlety:

#Several ways of throwing a needle at "random"
L=0.35 #half-length of the needle
D=20  #length of the room
N=10^3

numbhits=function(A,B){
 sum(abs(trunc(A[,2])-trunc(B[,2]))>0)}

par(mfrow=c(2,2),mar=c(1,1,1,1))
#version #1: uniform location of the centre
U=runif(N,min=L,max=D-L) #centre
O=runif(N,min=0,max=pi) #angle
C=cbind(runif(N,0,D),U)
A=C+L*cbind(cos(O),sin(O))
B=C-L*cbind(cos(O),sin(O))
plot(C,type="n",axes=F,xlim=c(0,D),ylim=c(0,D))
for (t in 1:N)
 lines(c(A[t,1],B[t,1]),c(A[t,2],B[t,2]),col="steelblue")
for (i in 1:(D-1))
 abline(h=i,lty=2,col="sienna")
title(main=paste(numbhits(A,B),"hits",sep=" "))

#version #2: uniform location of one endpoint
U=runif(N,min=2*L,max=D-(2*L)) #centre
O=runif(N,min=0,max=2*pi) #angle
A=cbind(runif(N,0,D),U)
B=A+2*L*cbind(cos(O),sin(O))
plot(A,type="n",axes=F,xlim=c(0,D),ylim=c(0,D))
for (t in 1:N)
 lines(c(A[t,1],B[t,1]),c(A[t,2],B[t,2]),col="steelblue")
for (i in 1:(D-1))
 abline(h=i,lty=2,col="sienna")
title(main=paste(numbhits(A,B),"hits",sep=" "))

#version #3: random ray from corner
O=runif(N,min=0,max=pi/2) #angle
U=L+runif(N)*(D*sqrt(1+apply(cbind(sin(O)^2,cos(O)^2),1,min))-2*L) #centre
C=cbind(U*cos(O),U*sin(O))
A=C+L*cbind(cos(O),sin(O))
B=C-L*cbind(cos(O),sin(O))
plot(C,type="n",axes=F,xlim=c(0,D),ylim=c(0,D))
for (t in 1:N)
 lines(c(A[t,1],B[t,1]),c(A[t,2],B[t,2]),col="steelblue")
for (i in 1:(D-1))
 abline(h=i,lty=2,col="sienna")
title(main=paste(numbhits(A,B),"hits",sep=" "))

#version #4: random ray from corner
O=runif(N,min=0,max=pi/2) #angle
U=runif(N)*(D*sqrt(1+apply(cbind(sin(O)^2,cos(O)^2),1,min))-2*L) #centre
A=cbind(U*cos(O),U*sin(O))
B=A+2*L*cbind(cos(O),sin(O))
plot(A,type="n",axes=F,xlim=c(0,D),ylim=c(0,D))
for (t in 1:N)
 lines(c(A[t,1],B[t,1]),c(A[t,2],B[t,2]),col="steelblue")
for (i in 1:(D-1))
 abline(h=i,lty=2,col="sienna")
title(main=paste(numbhits(A,B),"hits",sep=" "))

When running the R code for 10⁶ iterations, the approximations to π based on the standard formula are given by

[1] 3.194072
[1] 3.140457
[1] 3.213596
[1] 3.210177

Filed under: R, Statistics Tagged: Bertrand’s paradox, Buffon’s needle, R, sigma-algebra

To leave a comment for the author, please follow the link and comment on their blog: Xi'an's Og » R.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...



If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Tags: , , , ,

Comments are closed.

Sponsors

Mango solutions



RStudio homepage



Zero Inflated Models and Generalized Linear Mixed Models with R

Quantide: statistical consulting and training

datasociety

http://www.eoda.de





ODSC

ODSC

CRC R books series





Six Sigma Online Training









Contact us if you wish to help support R-bloggers, and place your banner here.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)