We have studied histograms in Chapter 1, A Simple Guide to R. We will try to plot a 3D histogram in this recipe. The applications of 3D histograms are limited, but they are a great tool for displaying multiple variables in a plot. In order to construct a 3D histogram, as shown in the following screenshot, we will use the plot3d package available in R.
We will install as well as load the plot3D package in R using the install.packages() and library() functions, respectively.
install.packages("plot3D")
library(plot3D)We will now generate data for the x and y values using the seq() function:
x = y = seq(-4,4,by =0.5 )
The 3D histogram requires the z variable as well, which is generated using our function f defined using the following line of code:
f = function(x,y){z = (25-(x^2-y^2))}The z values are generated using the outer() function, which consists of the x and y values as...