(This article was originally published at » R, and syndicated at StatsBlogs.)
I came across the butterfly curve, which was discovered by Temple Fay. The butterfly curve is produced by a parametric equation where:
x = sin(t) * (e^cos(t)-2cos(λt)-sin(t/12)^5) and
y = cos(t) * (e^cos(t)-2cos(λt)-sin(t/12)^5).
Where t stands for time and λ for a user input variable.
I used ggplot to create a plot of the butterfly curve with a background of the same color pattern. After sourcing the function, the user can vary the number of background points, as well as the butterfly curves.
library(ggplot2)
source("https://raw.githubusercontent.com/danielmarcelino/SciencesPo/master/R/butterfly.R")
> p1 = butterfly(10, 100, title="10 x 100")
Date of Analysis: Wed Oct 07 2015
Computation time: 0.009749889
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> p2 = butterfly(10, 200, title="10 x 200")
Date of Analysis: Wed Oct 07 2015
Computation time: 0.01240611
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> p3 = butterfly(10, 500, title="100 x 500")
Date of Analysis: Wed Oct 07 2015
Computation time: 0.02488399
-----------------------------------
> p4 = butterfly(100, 1000, title="100 x 1000")
Date of Analysis: Wed Oct 07 2015
Computation time: 0.01444697
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multiplot(p1,p2,p3,p4, ncols = 2)
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