plot3D: Plotting Multi-Dimensional Data. Functions for viewing 2-D and 3-D data, including perspective plots, slice plots, surface plots, scatter plots, etc. Includes data sets from oceanography. Version: A ternary plot can be used to plot categorical data where there are exactly three levels. In some cases, researchers are inspired to produce a totally new type of plot for their data. R is not only a good platform for experimenting with novel plots, but it is also a good way to deliver new plotting techniques to other researchers. The prefered format in R for saving plots into a vector graphics format is PDF. In raster graphics, the plot is stored in a dot matrix data structure. The main limitation of raster formats is their limited resolution, which depends on the number of pixels available. In R, the most commonly used device for raster graphics output is png. Generally, it's preferable to save your plots in a vector graphics format, since it is always possible later to convert a vector graphics file into a raster R Packages used. tidyverse: for general data wrangling (includes readr and dplyr). ggplot2: to draw statistical plots, including conditional plots.We use this rather than base R for increased functionality and more aesthetically pleasing plots (included in tidyverse). GGally: a ggplot add-on package to create a scatterplot matrix and parallel coordinate plot