**gRaphics!**, and kindly contributed to R-bloggers)

It’s holiday today in Sweden, so happy Midsummer to everyone!!! (I know, it’s delayed)

No work for me, so I checked up the latest XKCD:

Gorgeous, right? So I decided to see if I could make something similar – but being lazy, I didn’t feel like drawing all circles one by one… I decided to try and have R do it for me instead.

The trick is in drawing the n-th circle avoiding to plot over the previous (n-1). The rest is eye-candy.

So, first of all, you need a data set: you can get the original one from (I presume) exoplanets.eu, if you like. At first I tried but then I just decided to use a randomly generated set:

N<-650 # number of exoplanets

R<-1000 # radius of a 2D-circle where you’ll want to plot them

MinMass<-5; # minimum mass for the planets

MaxMass<-100; # maximum mass for the planets

P<-6 # power exponent for the mass distribution

Q<-3 # this exponent scales the mass to radii…

margin<-mean(c(MinMass,MaxMass)); # a minimum separation you want to mantain between planets when plotted

# a function to name each planet with a random string of letters (optional)

getRandString<-function(len=8) return(paste(sample(c(LETTERS,letters),len,replace=TRUE),collapse=”))

I redorder the exoplanets in order of mass, so that they’ll be printed from the largest to the samllest… it makes it easier later on to generate the plot, a bit like it’s easier filling a bucket with rocks, then with gravel, then with sand, than doing it the other way around…

exoplanets<-list(Mass=sort(runif(N, MinMass^(1/P), MaxMass^(1/P))^P, decreasing=TRUE), Name=replicate(n=N, getRandString()))

Ok, so now we have a bunch of data which looks like this:

> exoplanets$Name[1:5]

[1] “lRnrqjcQ” “YuhcqSTO” “MmrAZvzi” “ROMpQwlZ” “epnBwmtj”

> exoplanets$Mass[1:5]

[1] 99.98406 99.43530 99.26070 98.80203 98.50710

mtrx<-matrix(nrow=N, ncol=2); colnames(mtrx)<-c(‘x’,’y’)

getxy_withinR<-function(R=10) {

r<-runif(1,0,R^2)^(1/2); theta<-runif(1,0,2*pi);

x<-r*cos(theta)

y<-r*sin(theta)

return(c(x,y))

}

check_bounce <- function(x,y,rad,X,Y,RAD) {

distance<-sqrt((X-x)^2 + (Y-y)^2); # print (paste(“distance is “,distance))

radsum<-RAD^(1/Q)+rad^(1/Q)+margin; # print(paste(“radius sum is “,radsum))

return(sum(distance < radsum))

}

lim<-R+MaxMass

plot(NULL, xlim=c(-lim,lim), ylim=c(-lim,lim))

for (n in 1:N) {

print(paste(“placing”,n, exoplanets$Name[n]))

# generate new coordinates

xy<-getxy_withinR(R); x<-xy[1]; y<-xy[2];

if (n!=1) {

tocheck<-(1:(n-1))

while(overlap<-check_bounce(x,y,exoplanets$Mass[n],mtrx[tocheck,’x’],mtrx[tocheck,’y’],exoplanets$Mass[tocheck]) > 0)

{

xy<-getxy_withinR(R); x<-xy[1]; y<-xy[2];

}

}

mtrx[n,’x’]<-x; mtrx[n,’y’]<-y;

# draw a circle once you know where

exoplanets$X[n]<-xy[1]; exoplanets$Y[n]<-xy[2];

draw.circle(x=exoplanets$X[n], y=exoplanets$Y[n], r=exoplanets$Mass[n]^(2/Q), col=rgb(runif(1,0,1),runif(1,0,1),runif(1,0,1),(0.5+n/(2*N))), border=rgb(runif(1,0,1),runif(1,0,1),runif(1,0,1),(0.5+n/(2*N))))

# Sys.sleep(0.03)

}

Never mind my dumb attempt – here’s a better solution in a blog post I wasn’t aware of: https://www.r-bloggers.com/circle-packing-with-r/

**leave a comment**for the author, please follow the link and comment on their blog:

**gRaphics!**.

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...