MyNixOS website logo
Description

Generates Views on the Mandelbrot Set.

Estimates membership for the Mandelbrot set.

mandelbrot

Curious whether your favourite complex number is a member of the Mandelbrot set?

—No? Then probably you just want to draw pretty pictures.

Install with:

devtools::install_github("blmoore/mandelbrot")

Examples

library(mandelbrot)

mb <- mandelbrot()
plot(mb)

Pretty colours:

mb <- mandelbrot(xlim = c(-0.8438146, -0.8226294),
                 ylim = c(0.1963144, 0.2174996), 
                 iterations = 500, resolution = 800)

cols <- mandelbrot_palette(RColorBrewer::brewer.pal(11, "Spectral"), fold = FALSE)
plot(mb, col = cols)

Experiment with transforms:

# layout config (reset after)
par(mfrow = c(1, 2), pty = "s", mar = rep(0, 4))
plot(mb, col = cols, transform = "inverse")
plot(mb, col = cols, transform = "log")

Don't like image? Convert to a data.frame and use with ggplot2:

library(ggplot2)

mb <- mandelbrot(xlim = c(-0.8335, -0.8325),
                 ylim = c(0.205, 0.206), 
                 resolution = 1200L,
                 iterations = 1000)

# weird uneven palette made for a heatmap viz:
# https://benjaminlmoore.wordpress.com/2015/04/09/recreating-the-vaccination-heatmaps-in-r/
cols <- c(
  colorRampPalette(c("#e7f0fa", "#c9e2f6", "#95cbee",
                     "#0099dc", "#4ab04a", "#ffd73e"))(10),
  colorRampPalette(c("#eec73a", "#e29421", "#e29421", 
                     "#f05336","#ce472e"), bias=2)(90), 
  "black")

df <- as.data.frame(mb)
ggplot(df, aes(x = x, y = y, fill = value)) +
  geom_raster(interpolate = TRUE) + theme_void() +
  scale_fill_gradientn(colours = cols, guide = "none") 

mandelbrot0 is a faster interface for as.data.frame(mandelbrot(...)).

See also

shinybrot is a Shiny web app that enables interactive exploration of the Mandelbrot set as generated by this package.

Hosted on shinyapps: https://blmr.shinyapps.io/shinybrot

Credits

Metadata

Version

0.2.0

License

Unknown

Platforms (75)

    Darwin
    FreeBSD
    Genode
    GHCJS
    Linux
    MMIXware
    NetBSD
    none
    OpenBSD
    Redox
    Solaris
    WASI
    Windows
Show all
  • aarch64-darwin
  • aarch64-genode
  • aarch64-linux
  • aarch64-netbsd
  • aarch64-none
  • aarch64_be-none
  • arm-none
  • armv5tel-linux
  • armv6l-linux
  • armv6l-netbsd
  • armv6l-none
  • armv7a-darwin
  • armv7a-linux
  • armv7a-netbsd
  • armv7l-linux
  • armv7l-netbsd
  • avr-none
  • i686-cygwin
  • i686-darwin
  • i686-freebsd
  • i686-genode
  • i686-linux
  • i686-netbsd
  • i686-none
  • i686-openbsd
  • i686-windows
  • javascript-ghcjs
  • loongarch64-linux
  • m68k-linux
  • m68k-netbsd
  • m68k-none
  • microblaze-linux
  • microblaze-none
  • microblazeel-linux
  • microblazeel-none
  • mips-linux
  • mips-none
  • mips64-linux
  • mips64-none
  • mips64el-linux
  • mipsel-linux
  • mipsel-netbsd
  • mmix-mmixware
  • msp430-none
  • or1k-none
  • powerpc-netbsd
  • powerpc-none
  • powerpc64-linux
  • powerpc64le-linux
  • powerpcle-none
  • riscv32-linux
  • riscv32-netbsd
  • riscv32-none
  • riscv64-linux
  • riscv64-netbsd
  • riscv64-none
  • rx-none
  • s390-linux
  • s390-none
  • s390x-linux
  • s390x-none
  • vc4-none
  • wasm32-wasi
  • wasm64-wasi
  • x86_64-cygwin
  • x86_64-darwin
  • x86_64-freebsd
  • x86_64-genode
  • x86_64-linux
  • x86_64-netbsd
  • x86_64-none
  • x86_64-openbsd
  • x86_64-redox
  • x86_64-solaris
  • x86_64-windows