In teri934/scattermore2: Scatterplots with More Points

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

library(scattermore2)

Create histogram

histogram <- scatter_histogram(cbind(rnorm(1e5), rnorm(1e5)), xlim=c(-5,5), ylim=c(-5,5))
image(histogram)

Apply kernels on histogram

blurred_histogram <- apply_kernel_histogram(histogram, kernel_pixels=10)
image(blurred_histogram)
gauss_blurred_histogram <- apply_kernel_histogram(histogram, filter="gauss")
image(gauss_blurred_histogram)

Colorize blurred histogram

rgbwt <- histogram_to_rgbwt(blurred_histogram)
raster <- rgba_int_to_raster(rgbwt_to_rgba_int(rgbwt))
plot(raster)

Colorize blurred histogram with palette

v = c(255, 0, 0, 100, 0, 255, 0, 25, 0, 0, 255, 50, 0, 0, 0, 100)
palette = array(v, c(4, 4))

rgbwt <- histogram_to_rgbwt(blurred_histogram, RGBA=palette)
raster <- rgba_int_to_raster(rgbwt_to_rgba_int(rgbwt))
plot(raster)

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Nice examples using scattermore2

Smithsonian Institute provides a lot of interesting data, including mammoth skeleton and T-rex skeleton eating triceratops skeleton.

teri934/scattermore2 documentation built on April 11, 2022, 12:15 a.m.