In this chapter, we explored a variety of 3D plotting methods in R. We generated 3D graphics using the built-in
persp function. We used Lattice Cloud to get a 3D scatter plot using the
cloud function and
scatterplot3d. We used the
scatter3d function from the
rgl package. We generated a 3D plot and a bar graph into a VRML file using the
vrmlgen package. We used
RgoogleMaps for the map data and corresponding map displays.
In the Big Data area, we used the
pbdR tools to use Big Data and used several methods that allow you to access Big Data in R.
Lastly, we looked at several research areas that seem promising, such as
Rcpp (to develop your own R methods using C++),
parallel (for parallel processing of R commands), and
microbenchmark (allowing detailed timing to occur in your R coding).
In the next chapter, we will cover machine learning.