Question

I recently started using R language and now i am using R for most of my 2d plots. Now, I want to use R for generating 3d plots. I have x, y, z data coming from a tool, till now i was using splot in gnuplot to generate a surface plot. I want to use R for generating a surface plot similar to the one splot in gnuplot gives. Problem i see is, to generate a 3d plot R requires data to be in matrix format but my data is not in that format. My question is, if gnuplot is able to generate a plot from the data why R cant do it. I am sure i am missing something, please help me

Here is the plot from gnuplot

This is the data

17.46 537.74 0.8
18.36 537.74 1.6
19.26 537.74 1.3
19.395 537.74 1.7
21.015 537.74 1.9
35.46 475.26 1.2
36.36 475.26 0.8
37.395 475.26 0.9
39.96 475.26 0.6
43.56 475.26 1

Answer 1

It’s no secret that I’m a raster package fan. It comes with a plot method that uses rgl package. The images can be quite the eye-full.

This is is the example from ?raster::plot3D

EDIT

Here’s an example of how to plot a surface using a matrix with three columns. This example looks like stage death trap in Mortal Combat. If you’re looking for kernel smoothing, then that merits its own question.

library(rgl)
library(raster)
x <- sample(-500:500, 1000, replace = TRUE)
y <- sample(-500:500, 1000, replace = TRUE)
z <- rnorm(500, 10, 20)
df <- cbind(x, y, z)

rst <- raster(ncols = 100, nrows = 100, xmn = -100, xmx = 100, ymn = -100, ymx = 100)
rst2 <- rasterize(x = df[,1:2], y = rst, df[, 3])
plot3D(rst2)