There are many functions in R programming for creating 3D plots. In this section, we will discuss on the persp() function which can be used to create 3D surfaces in perspective view.. This function mainly takes in three variables, x, y and z where x and y are vectors defining the location along x- and y-axis. The height of the surface (z-axis) will be in the matrix z.
5/6/2014 · plot3D. Here you will find a few examples that visualise base R datasets in a slightly different way, using the R-package plot3D created by Karline Soetaert. An accompanying package is plot3Drgl. Essentially, plot3Drgl translates the functions from plot3D to be visualised in the (superb) R-package rgl, so that figures can be rotated, zoomed, even slices cut.
Depends R (>= 2.15) Imports misc3d, stats, graphics, grDevices, methods Description Functions for viewing 2-D and 3-D data, including perspective plots, slice plots, sur-face plots, scatter plots, etc. Includes data sets from oceanography. License GPL (>= 3.0) LazyData yes Repository CRAN Repository/ R -Forge/Project plot3d Repository/ R -Forge …
R package plot3D provides functions for plotting 2-D and 3-D data, and that are either extensions of R ’s perspfunction or of R ’s imageand contourfunction. The main extensions to these functions are:, Details. plot3d is a partial 3D analogue of plot.default.. Missing values in the data are skipped, as in standard graphics. If aspect is TRUE, aspect ratios of c(1, 1, 1) are passed to aspect3d.If FALSE, no aspect adjustment is done.In other cases, the value is passed to aspect3d.. With type = s, spheres are drawn centered at the specified locations.The radius may be controlled by size …
Tools for plotting 3-D and 2-D data. – The Comprehensive R …
Impressive package for 3D and 4D graph – R software and data …
Tools for plotting 3-D and 2-D data. – The Comprehensive R …
Tools for plotting 3-D and 2-D data. – The Comprehensive R …
I use the lattice package for almost everything I plot in R and it has a corresponing plot to persp called wireframe. Let data be the way Sven defined it. wireframe(z ~ x * y, data=data) Or how about this (modification of fig 6.3 in Deepanyan Sarkar’s book):
