Hexbin plots can be viewed as an alternative to scatter plots. The hexagon-shaped bins were introduced to plot densely packed sunflower plots. They can be used to plot scatter plots with high-density data. We will use the hexbin package available in R to plot hexagon-shaped bins on a plot instead of a sunflower.
To generate a hexbin plot, we will use the hexbin package in R along with the generic rnorm() function.
The install.packages() and library() functions assist in installing the package as well as loading it in R:
install.packages("hexbin")
library(hexbin)For the purpose of this recipe, we will generate a fake dataset. The set.seed(356) code sets the state of random number generation in R:
set.seed(356)
We will implement the rnorm() function to generate 1000 normally distributed random numbers:
x = rnorm(1000) y = rnorm(1000)
In order to generate a hexbin plot, we will have to define a hexbin object using the hexbin() function:
bins = hexbin...