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how to draw 3d spheres with lines

  • Install the RGL packet
  • Load the RGL bundle
  • Gear up the data
  • Outset and close RGL device
  • 3D scatter plot
    • Bones graph
    • Alter the groundwork and bespeak colors
    • Change the shape of points
  • rgl_init(): A custom function to initialize RGL device
  • Add together a bounding box ornament
  • Add axis lines and labels
    • Scale the information
    • Utilize c(-max, max)
    • rgl_add_axes(): A custom function to add ten, y and z axes
    • Show scales: tick marks
  • Prepare the attribute ratios of the 10, y and z axes
  • Change the color of points by groups
  • Change the shape of points
  • Add an ellipse of concentration
  • Regression plane
  • Create a movie of RGL scene
  • Export images every bit png or pdf
  • Export the plot into an interactive HTML file
  • Select a rectangle in an RGL scene
  • Identify points in a plot
  • R3D Interface
    • 3D Scatter plot
    • Some of import functions
  • RGL functions
    • Device direction
    • Shape functions
    • Scene management
    • Setup the environment
    • Advent setup
    • Export screenshot
    • Assign focus to an RGL window
  • Infos

This R tutorial describes, stride by step, how to build a 3D graphic using R software and the rgl package. You'll learn as well how to create a picture show of your 3D scene in R.

RGL is a 3D graphics package that produces a real-fourth dimension interactive 3D plot. It allows to interactively rotate, zoom the graphics and select regions.

The rgl bundle includes too a generic 3D interface named R3D. R3D is a collection of generic 3D objects and functions which are described at the finish of this article.

Install the RGL package

            install.packages("rgl")          

Note that, on Linux operating system, the rgl packet tin be installed every bit follow:

sudo apt-go install r-cran-rgl

Load the RGL package

            library("rgl")          

Ready the data

We'll employ the iris information gear up in the post-obit examples:

            data(iris) caput(iris)          
                          Sepal.Length Sepal.Width Petal.Length Petal.Width Species 1          v.1         iii.v          1.4         0.ii  setosa 2          4.9         three.0          ane.iv         0.ii  setosa three          4.7         3.2          ane.3         0.2  setosa 4          4.6         3.1          one.v         0.2  setosa 5          5.0         3.six          1.4         0.2  setosa six          5.iv         3.9          one.7         0.4  setosa          
            x <- sep.l <- iris$Sepal.Length y <- pet.l <- iris$Petal.Length z <- sep.w <- iris$Sepal.Width          

iris information set gives the measurements of the variables sepal length and width, petal length and width, respectively, for 50 flowers from each of 3 species of iris. The species are Iris setosa, versicolor, and virginica.

Start and close RGL device

To brand a 3D plot with RGL, you should offset start the RGL device in R.

The functions beneath are used to manage the RGL device:

  • rgl.open up(): Opens a new device
  • rgl.close(): Closes the electric current device
  • rgl.articulate(): Clears the current device
  • rgl.cur(): Returns the active device ID
  • rgl.quit(): Shutdowns the RGL device system

In the showtime sections of this tutorial, I'll open a new RGL device for each plot.

Note that, yous don't need to do the same matter.

Y'all can just use the function rgl.open up() the kickoff time –> then brand your outset 3D plot –> and then use rgl.clear() to clear the scene –> and make a new plot again.

3D scatter plot

Basic graph

The function rgl.points() is used to draw a 3D besprinkle plot:

              rgl.open() # Open up a new RGL device rgl.points(x, y, z, color ="lightgray") # Scatter plot            

RGL - R software and data visualization


  • x, y, z : Numeric vector specifying the coordinates of points to exist fatigued. The arguments y and z are optional when:
  • x is a matrix or a data frame containing at least three columns which will be used as the ten, y and z coordinates. Ex: rgl.points(iris)
  • ten is a formula of course zvar ~ xvar + yvar (see ?xyz.coords). Ex: rgl.points( z ~ x + y).
  • : Textile backdrop. See ?rgl.fabric for details.

Alter the groundwork and bespeak colors

  • The function rgl.bg(color) can be used to setup the groundwork surround of the scene
  • The argument color is used in the function rgl.points() to modify point colors

Note that, it's as well possible to change the size of points using the argument size

              rgl.open()# Open a new RGL device rgl.bg(color = "white") # Setup the background color rgl.points(x, y, z, color = "blue", size = five) # Scatter plot            

RGL - R software and data visualization


Note that, the equivalent of the functions above for the 3d interface is:

  • open3d(): Open a new 3D device
  • bg3d(color): Gear up up the background environment of the scene
  • points3d(ten, y, Z, …): plot points of coordinates ten, y, z

Modify the shape of points

Information technology's possible to draw spheres using the functions rgl.spheres() or spheres3d():

              spheres3d(10, y = NULL, z = NULL, radius = ane, ...) rgl.spheres(ten, y = Aught, z = NULL, r, ...)            

rgl.spheres() draws spheres with center (x, y, z) and radius r.


  • x, y, z : Numeric vector specifying the coordinates for the center of each sphere. The arguments y and z are optional when:
  • x is a matrix or a information frame containing at least 3 columns which will be used as the x, y and z coordinates. Ex: rgl.spheres(iris, r = 0.2)
  • x is a formula of course zvar ~ xvar + yvar (see ?xyz.coords). Ex: rgl.spheres( z ~ x + y, r = 0.2).
  • radius: a vector or unmarried value indicating the radius of spheres
  • : Material properties. See ?rgl.fabric for details.
              rgl.open()# Open up a new RGL device rgl.bg(color = "white") # Setup the background color rgl.spheres(x, y, z, r = 0.2, color = "grey")                          

RGL - R software and data visualization

Notation that, an rgl plot can be manually rotated past holding down on the mouse or touchpad. It tin be as well zoomed using the scroll cycle on a mouse or pressing ctrl + using the touchpad on a PC or 2 fingers (up or down) on a mac.

rgl_init(): A custom part to initialize RGL device

The office rgl_init() will create a new RGL device if requested or if there is no opened device:

            #' @param new.device a logical value. If Truthful, creates a new device #' @param bg the background color of the device #' @param width the width of the device rgl_init <- office(new.device = FALSE, bg = "white", width = 640) {    if( new.device | rgl.cur() == 0 ) {     rgl.open up()     par3d(windowRect = fifty + c( 0, 0, width, width ) )     rgl.bg(color = bg )   }   rgl.articulate(blazon = c("shapes", "bboxdeco"))   rgl.viewpoint(theta = 15, phi = 20, zoom = 0.7) }          

Description of the used RGL functions:

  • rgl.open(): open a new device
  • rgl.cur(): returns agile device ID
  • par3d(windowRect): set the window size
  • rgl.viewpoint(theta, phi, fov, zoom): fix up viewpoint. The arguments theta and phi are polar coordinates.
  • theta and phi are the polar coordinates. Default values are 0 and fifteen, respectively
  • fov is the field-of-view angle in degrees. Default value is 60
  • zoom is the zoom factor. Default value is 1
  • rgl.bg(colour): define the background color of the device
  • rgl.articulate(type): Clears the scene from the specified stack ("shapes", "lights", "bboxdeco", "background")

In the R code in a higher place, I used the function rgl.viewpoint() to ready automatically the viewpoint orientation and the zoom. Every bit you already know, the RGL device is interactive and you tin can adjust the viewpoint and zoom the plot using your mouse.

Add a bounding box decoration

The role rgl.bbox() is used:

            rgl_init() rgl.spheres(x, y, z, r = 0.2, colour = "yellow")  # Scatter plot rgl.bbox(color = "#333377") # Add together bounding box decoration          

RGL - R software and data visualization

A simplified format of the part rgl.bbox() is:

            rgl.bbox(xlen=5, ylen=v, zlen=5, marklen=15.9, ...)          

  • xlen, ylen, zlen: values specifying the number of tickmarks on x, y and Z axes, respectively
  • marklen: value specifying the length of the tickmarks
  • : other rgl material properties (run into ?rgl.fabric) including:
  • color: a vector of colors. The first colour is used for the background color of the bounding box. The second color is used for the tick mark labels.
  • emission, specular, shininess: properties for lighting adding
  • blastoff: value specifying the color transparency. The value should be betwixt 0.0 (fully transparent) and 1.0 (opaque)
            rgl_init() rgl.spheres(x, y, z, r = 0.2, color = "xanthous")   # Add bounding box decoration rgl.bbox(color=c("#333377","black"), emission="#333377",          specular="#3333FF", shininess=5, alpha=0.8 )                      

RGL - R software and data visualization

Add axis lines and labels

  • The function rgl.lines(x, y = NULL, z = NULL, …) can exist used to add together axis lines.
  • The function rgl.texts(10, y = Goose egg, z = Zilch, text) is used to add axis labels

For the function rgl.lines(), the arguments 10, y, and z are numeric vectors of length 2 (i.e, : ten = c(x1,x2), y = c(y1, y2), z = c(z1, z2) ).

  • The values x1, y1 and y3 are the 3D coordinates of the line starting bespeak.
  • The values x2, y2 and y3 corresponds to the 3D coordinates of the line ending signal.

Notation too that, the argument ten can be a matrix or a data frame containing, at least, 3 columns respective to the x, y and z coordinates, respectively. In this case, the argument y and z can be omitted.

To depict an centrality, you should specify the range (minimum and the maximum) of the axis to the part rgl.lines():

            # Brand a scatter plot rgl_init() rgl.spheres(x, y, z, r = 0.2, colour = "yellow")  # Add x, y, and z Axes rgl.lines(c(min(x), max(ten)), c(0, 0), c(0, 0), colour = "black") rgl.lines(c(0, 0), c(min(y),max(y)), c(0, 0), colour = "red") rgl.lines(c(0, 0), c(0, 0), c(min(z),max(z)), color = "greenish")          

RGL - R software and data visualization

As you can see, the axes are drawn but the problem is that they don't cross at the indicate c(0, 0, 0)

There are two solutions to handle this state of affairs:

  • Scale the information to make things easy. Transform the x, y and z variables so that their min = 0 and their max = 1
  • Utilise c(-max, +max) equally the ranges of the axes

Scale the information

              x1 <- (10 - min(x))/(max(x) - min(10)) y1 <- (y - min(y))/(max(y) - min(y)) z1 <- (z - min(z))/(max(z) - min(z))            
              # Make a scatter plot rgl_init() rgl.spheres(x1, y1, z1, r = 0.02, color = "xanthous")  # Add together x, y, and z Axes rgl.lines(c(0, 1), c(0, 0), c(0, 0), color = "blackness") rgl.lines(c(0, 0), c(0,i), c(0, 0), color = "red") rgl.lines(c(0, 0), c(0, 0), c(0,one), colour = "green")            

RGL - R software and data visualization

Utilize c(-max, max)

Let'southward define a helper function to calculate the centrality limits:

              lim <- role(10){c(-max(abs(x)), max(abs(x))) * ane.1}            
              # Make a scatter plot rgl_init() rgl.spheres(10, y, z, r = 0.2, colour = "yellow")  # Add together 10, y, and z Axes rgl.lines(lim(x), c(0, 0), c(0, 0), color = "black") rgl.lines(c(0, 0), lim(y), c(0, 0), colour = "red") rgl.lines(c(0, 0), c(0, 0), lim(z), color = "green")            

RGL - R software and data visualization

rgl_add_axes(): A custom function to add together x, y and z axes

              # x, y, z : numeric vectors corresponding to #  the coordinates of points # axis.col : axis colors # xlab, ylab, zlab: axis labels # evidence.airplane : add axis planes # bear witness.bbox : add the bounding box decoration # bbox.col: the bounding box colors. The kickoff color is the # the groundwork color; the 2d color is the color of tick marks rgl_add_axes <- function(x, y, z, centrality.col = "grayness",                 xlab = "", ylab="", zlab="", prove.aeroplane = TRUE,                  prove.bbox = FALSE, bbox.col = c("#333377","black"))   {       lim <- role(10){c(-max(abs(ten)), max(abs(x))) * 1.1}   # Add axes   xlim <- lim(x); ylim <- lim(y); zlim <- lim(z)   rgl.lines(xlim, c(0, 0), c(0, 0), color = axis.col)   rgl.lines(c(0, 0), ylim, c(0, 0), color = axis.col)   rgl.lines(c(0, 0), c(0, 0), zlim, color = centrality.col)       # Add a bespeak at the stop of each axes to specify the direction    axes <- rbind(c(xlim[2], 0, 0), c(0, ylim[2], 0),                   c(0, 0, zlim[two]))    rgl.points(axes, color = axis.col, size = 3)      # Add axis labels   rgl.texts(axes, text = c(xlab, ylab, zlab), color = axis.col,              adj = c(0.5, -0.8), size = two)      # Add together plane   if(evidence.airplane)      xlim <- xlim/1.ane; zlim <- zlim /1.1     rgl.quads( x = rep(xlim, each = 2), y = c(0, 0, 0, 0),              z = c(zlim[1], zlim[2], zlim[two], zlim[ane]))      # Add bounding box ornamentation   if(show.bbox){     rgl.bbox(color=c(bbox.col[1],bbox.col[2]), alpha = 0.five,            emission=bbox.col[one], specular=bbox.col[1], shininess=v,            xlen = iii, ylen = three, zlen = 3)    } }            

  • The function rgl.texts(x, y, z, text ) is used to add texts to an RGL plot.
  • rgl.quads(x, y, z) is used to add planes. x, y and z are numeric vectors of length four specifying the coordinates of the iv nodes of the quad.
              rgl_init() rgl.spheres(x, y, z, r = 0.2, colour = "yellow")  rgl_add_axes(ten, y, z)            

RGL - R software and data visualization

Show scales: tick marks

The role axis3d() tin be used as follow:

              rgl_init() rgl.spheres(ten, y, z, r = 0.two, color = "yellow")  rgl_add_axes(ten, y, z) # Testify tick marks axis3d('10', pos=c( NA, 0, 0 ), col = "darkgrey") axis3d('y', pos=c( 0, NA, 0 ), col = "darkgrey") axis3d('z', pos=c( 0, 0, NA ), col = "darkgrey")            

RGL - R software and data visualization

It's easier to just add together a bounding box decoration:

              rgl_init() rgl.spheres(x, y, z, r = 0.2, color = "xanthous")  rgl_add_axes(x, y, z, show.bbox = True)            

RGL - R software and data visualization

Prepare the attribute ratios of the x, y and z axes

In the plot above, the bounding box is displayed as rectangle. All the coordinates are displayed at the same scale (iso-metric).

The function aspect3d(ten, y = NULL, z = Cypher) tin can exist used to gear up the apparent ratios of the x, y and z axes for the current plot.

x, y and z are the ratio for x, y and z axes, respectively. x tin be a vector of length 3, specifying the ratio for the 3 axes.

If the ratios are (one, i, 1), the bounding box volition be displayed as a cube.

            rgl_init() rgl.spheres(x, y, z, r = 0.2, colour = "yellow")  rgl_add_axes(x, y, z, show.bbox = TRUE) aspect3d(1,1,1)          

RGL - R software and data visualization

Note that, the default display corresponds to the aspect "iso": aspect3d("iso").

The values of the ratios tin can be gear up larger or smaller to zoom on a given axis:

            rgl_init() rgl.spheres(10, y, z, r = 0.2, color = "yellow")  rgl_add_axes(x, y, z, show.bbox = Truthful) aspect3d(two,i,1) # zoom on ten centrality          

RGL - R software and data visualization

Change the color of points by groups

A helper function can be used to select automatically a color for each group:

            #' Become colors for the different levels of  #' a factor variable #'  #' @param groups a factor variable containing the groups #'  of observations #' @param colors a vector containing the names of  #   the default colors to be used get_colors <- office(groups, group.col = palette()){   groups <- every bit.factor(groups)   ngrps <- length(levels(groups))   if(ngrps > length(group.col))      group.col <- rep(group.col, ngrps)   color <- group.col[as.numeric(groups)]   names(colour) <- equally.vector(groups)   return(colour) }          

Change colors past groups :

            rgl_init() rgl.spheres(x, y, z, r = 0.2,            color = get_colors(iris$Species))  rgl_add_axes(ten, y, z, show.bbox = TRUE) aspect3d(i,1,i)          

RGL - R software and data visualization

Use custom colors:

            cols <- get_colors(iris$Species, c("#999999", "#E69F00", "#56B4E9")) rgl_init() rgl.spheres(ten, y, z, r = 0.two, color = cols)  rgl_add_axes(x, y, z, show.bbox = TRUE) aspect3d(1,ane,1)          

RGL - R software and data visualization

Information technology's likewise possible to use color palettes from the RColorBrewer package:

            library("RColorBrewer") cols <- get_colors(iris$Species, brewer.pal(n=three, name="Dark2") ) rgl_init() rgl.spheres(x, y, z, r = 0.2, colour = cols)  rgl_add_axes(x, y, z, show.bbox = Truthful) aspect3d(1,1,i)          

RGL - R software and data visualization

Read more than near colors in R: colors in R

Modify the shape of points

6 mesh objects are bachelor in RGL package and can be used equally point shapes:

  • cube3d()
  • tetrahedron3d()
  • octahedron3d()
  • icosahedron3d()
  • dodecahedron3d()
  • cuboctahedron3d()

RGL - R software and data visualization

To brand a plot using the objects above, the function shapelist3d() tin can exist used equally follow:

            shapelist3d(shapes, x, y, z)          

  • shapes: a single shape3d (ex: shapes = cube3d()) object or a list of them (ex: shapes = list(cube3d(), icosahedron3d()))
  • x, y, z: the coordinates of the points to be plotted
            rgl_init() shapelist3d(tetrahedron3d(), x, y, z, size =  0.15,              color = get_colors(iris$Species)) rgl_add_axes(x, y, z, show.bbox = TRUE) aspect3d(i,1,1)          

RGL - R software and data visualization

Add an ellipse of concentration

The role ellipse3d() is used to estimate the ellipse of concentration. A simplified format is:

            ellipse3d(x, scale = c(1,1,1), center = c(0,0,0),            level = 0.95, ...)          

  • x: the correlation or covariance matrix between x, y and z
  • scale: If x is a correlation matrix, then the standard deviations of each parameter can be given in the scale parameter. This defaults to c(1, 1, 1), so no rescaling will be done.
  • heart: The center of the ellipse volition be at this position.
  • level: The conviction level of a confidence region. This is used to control the size of the ellipsoid.

The function ellipse3d() returns an object of grade mesh3d which tin can be drawn using the office shade3d() and/or wired3d()

  1. Depict the ellipse using the function shade3d():
            rgl_init() rgl.spheres(x, y, z, r = 0.2, color = "#D95F02")  rgl_add_axes(x, y, z, show.bbox = Truthful) # Compute and draw the ellipse of concentration ellips <- ellipse3d(cov(cbind(ten,y,z)),              heart=c(mean(x), mean(y), mean(z)), level = 0.95) shade3d(ellips, col = "#D95F02", blastoff = 0.1, lit = Simulated) aspect3d(1,1,1)          

RGL - R software and data visualization

  1. Draw the ellipse using the part wired3d():
            rgl_init() rgl.spheres(x, y, z, r = 0.ii, color = "#D95F02")  rgl_add_axes(x, y, z, show.bbox = TRUE) # Compute and depict the ellipse of concentration ellips <- ellipse3d(cov(cbind(x,y,z)),              centre=c(mean(ten), hateful(y), mean(z)), level = 0.95) wire3d(ellips, col = "#D95F02",  lit = FALSE) aspect3d(1,ane,1)          

RGL - R software and data visualization

  1. Combine shade3d() and wired3d():
            rgl_init() rgl.spheres(ten, y, z, r = 0.2, color = "#D95F02")  rgl_add_axes(x, y, z, show.bbox = Truthful) # Compute and draw the ellipse of concentration ellips <- ellipse3d(cov(cbind(10,y,z)),              centre=c(mean(10), hateful(y), mean(z)), level = 0.95) shade3d(ellips, col = "#D95F02", alpha = 0.i, lit = Fake) wire3d(ellips, col = "#D95F02",  lit = FALSE) aspect3d(1,1,1)          

RGL - R software and data visualization

  1. Add ellipse for each group:
            # Groups groups <- iris$Species levs <- levels(groups) grouping.col <- c("red", "green", "blue") # Plot observations rgl_init() rgl.spheres(x, y, z, r = 0.2,             color = group.col[as.numeric(groups)])  rgl_add_axes(10, y, z, show.bbox = Fake) # Compute ellipse for each group for (i in 1:length(levs)) {     group <- levs[i]     selected <- groups == group     xx <- x[selected]; yy <- y[selected]; zz <- z[selected]     ellips <- ellipse3d(cov(cbind(xx,yy,zz)),                center=c(hateful(20), mean(yy), mean(zz)), level = 0.95)      shade3d(ellips, col = grouping.col[i], alpha = 0.1, lit = Fake)      # show group labels     texts3d(hateful(xx),hateful(yy), mean(zz), text = group,             col= group.col[i], cex = 2)   } aspect3d(1,1,1)          

RGL - R software and data visualization

Regression airplane

The function planes3d() or rgl.planes() can be used to add together regression plane into 3D rgl plot:

            rgl.planes(a, b = Zip, c = NULL, d = 0, ...) planes3d(a, b = Zero, c = Goose egg, d = 0, ...)          

planes3d() and rgl.planes() draw planes using the parameter ax + by + cz + d = 0.

  • a, b, c: coordinates of the normal to the airplane
  • d: coordinates of the offset

Example of usage:

            rgl_init() rgl.spheres(x, y, z, r = 0.2, color = "#D95F02")  rgl_add_axes(x, y, z, show.bbox = Faux) aspect3d(1,1,1) # Linear model fit <- lm(z ~ ten + y) coefs <- coef(fit) a <- coefs["10"]; b <- coefs["y"]; c <- -ane d <- coefs["(Intercept)"] rgl.planes(a, b, c, d, blastoff=0.2, color = "#D95F02")          

RGL - R software and data visualization

The regression plane to a higher place is very ugly. Let'south try to do a custom one. The steps below are followed:

  1. Use the role lm() to compute a linear regression model: ax + by + cz + d = 0
  2. Employ the argument rgl.surface() to add a regression surface.
            rgl_init() rgl.spheres(x, y, z, r = 0.2, color = "#D95F02")  rgl_add_axes(10, y, z, show.bbox = False) aspect3d(1,1,i) # Compute the linear regression (y = ax + bz + d) fit <- lm(y ~ 10 + z) # predict values on regular xz grid grid.lines = 26 10.pred <- seq(min(x), max(10), length.out = filigree.lines) z.pred <- seq(min(z), max(z), length.out = grid.lines) xz <- expand.grid( x = x.pred, z = z.pred) y.pred <- matrix(predict(fit, newdata = xz),                   nrow = grid.lines, ncol = grid.lines) # Add together regression surface rgl.surface(ten.pred, z.pred, y.pred, colour = "steelblue",                  alpha = 0.5, lit = Imitation)   # Add grid lines rgl.surface(x.pred, z.pred, y.pred, color = "black",     alpha = 0.v, lit = FALSE, front = "lines", back = "lines")          

RGL - R software and data visualization

Create a film of RGL scene

The office movie3d() tin be used as follow:

            movie3d(f, duration, dir = tempdir(), convert = True)          
  • f a office created using spin3d(axis)
  • centrality: the desired axis of rotation. Default value is c(0, 0, 1).
  • duration : the duration of the animation
  • dir: A directory in which to create temporary files for each frame of the picture show
  • convert: If TRUE, tries to convert the frames to a single GIF movie. Information technology uses ImageMagick for the image conversion.

You should install ImageMagick (http://www.imagemagick.org/) to exist able to create a movie from a list of png file.

            rgl_init() rgl.spheres(10, y, z, r = 0.2, color = "#D95F02")  rgl_add_axes(x, y, z, show.bbox = True) # Compute and draw the ellipse of concentration ellips <- ellipse3d(cov(cbind(10,y,z)),              centre=c(mean(ten), mean(y), mean(z)), level = 0.95) wire3d(ellips, col = "#D95F02",  lit = FALSE) aspect3d(1,ane,ane) # Create a moving picture movie3d(spin3d(axis = c(0, 0, 1)), duration = iii,         dir = getwd())          

RGL movie 3d

Export images equally png or pdf

The plot can be saved as png or pdf.

  • The function rgl.snapshot() is used to relieve the screenshot equally png file:
            rgl.snapshot(filename = "plot.png")          
  • The function rgl.postscript() is used to salvage the screenshot to a file in ps, eps, tex, pdf, svg or pgf format:
            rgl.postscript("plot.pdf",fmt="pdf")          

Case of usage:

            rgl_init() rgl.spheres(x, y, z, r = 0.2, color = "#D95F02")  rgl_add_axes(x, y, z, show.bbox = T) aspect3d(1,one,1) rg.snapshot("plot.png")          

Export the plot into an interactive HTML file

The office writeWebGL() is used to write the electric current scene to HTML:

            writeWebGL(dir = "webGL", filename = file.path(dir, "index.html"))          
  • dir: Where to write the files
  • filename: The file proper name to use for the chief file

The R lawmaking below, writes a copy of the scene and so displays it in a browser:

            rgl_init() rgl.spheres(x, y, z, r = 0.two,            color = get_colors(iris$Species))  rgl_add_axes(x, y, z, show.bbox = FALSE) # This writes a copy into temporary directory 'webGL', # and and so displays it browseURL(   paste("file://", writeWebGL(dir=file.path(tempdir(), "webGL"),    width=500), sep="")   )          

Select a rectangle in an RGL scene

The functions rgl.select3d() or select3d() can be used to select iii-dimensional regions.

They return a function f(x, y, z) which tests whether each of the points (x, y, z) is in the selected region.

The R code beneath, allows the user to select some points, and then redraw them in a dissimilar color:

            rgl_init() rgl.spheres(ten, y, z, r = 0.2, color = "#D95F02")  rgl_add_axes(x, y, z, testify.bbox = F) aspect3d(one,ane,1) # Select a indicate  f <- select3d()  sel <- f(x,y,z)  rgl.clear("shapes") # Redraw the points rgl.spheres(x[!sel],y[!sel], z[!sel], r = 0.2, color = "#D95F02") rgl.spheres(ten[sel],y[sel], z[sel], r = 0.2, color = "green")          

Identify points in a plot

The role identify3d() is used:

            identify3d(ten, y = Cipher, z = NULL, labels, n)          

  • x, y, z : Numeric vector specifying the coordinates of points. The arguments y and z are optional when:
  • x is a matrix or a data frame containing at least 3 columns which volition be used every bit the x, y and z coordinates.
  • x is a formula of course zvar ~ xvar + yvar (encounter ?xyz.coords).
  • labels an optional graphic symbol vector giving labels for points
  • n the maximum number of points to be identified

The function identify3d(), works similarly to the identify function in base of operations graphics.

The R code below, let the user to place 5 points :

            rgl_init() rgl.spheres(x, y, z, r = 0.2, color = "#D95F02")  rgl_add_axes(x, y, z, show.bbox = F) aspect3d(1,1,i) rgl.material(colour = "blue") identify3d(ten, y, z, labels = rownames(iris), n = v)          

Use the correct button to select, the middle push button to quit.

R3D Interface

The rgl package besides includes a higher level interface called r3d. This interface is designed to act more like classic 2d R graphics.

The next sections describe how to brand 3D graphics using the R3D interface.

3D Besprinkle plot

The part plot3d() is used:

              ## Default method plot3d(x, y, z, xlab, ylab, zlab, type = "p", col,           size, lwd, radius, add together = FALSE, aspect = !add, ...) ## Method for form 'mesh3d' plot3d(x, xlab = "ten", ylab = "y", zlab = "z",        blazon = c("shade", "wire", "dots"), add = FALSE, ...)  decorate3d(xlim, ylim, zlim,    xlab = "x", ylab = "y", zlab = "z",      box = True, axes = TRUE, main = Zero, sub = NULL,     top = True, aspect = False, expand = 1.03, ...)            

  • x, y, z: vectors of points to be drawn. Whatsoever reasonable way of defining the coordinates is adequate. See the function xyz.coords for details
  • xlab, yab, zlab: ten, y and z axis labels
  • type:
  • For the default method: Immune values are: 'p' for points, 's' for spheres, 'l' for lines, 'h' for line segments from z = 0, and 'north' for nothing.
  • For the mesh3d method, one of 'shade', 'wire', or 'dots'
  • col: the color to exist used for plotted items
  • size: size of points
  • lwd: the line width for plotted particular
  • radius: the radius of sphere
  • add together: whether to add the points to an existing plot
  • aspect: either a logical indicating whether to adjust the aspect ratio, or a new ratio
  • : boosted parameters which will be passed to par3d, material3d or decorate3d
  • box, axes: whether to draw a box and axes.
  • main, sub: main title and subtitle
  • height: whether to bring the window to the top when done

Note that, it's recommended to use the function open3d() to initialize the *3d interface. However, in the following R code chunks, I'll continue to use the custom function rgl_init().

Draw points:

              rgl_init() plot3d(10, y, z, col="blue", blazon ="p")            

RGL - R software and data visualization

Remove the box and draw spheres:

              rgl_init() plot3d(x, y, z, col="blue", box = Fake,        type ="southward", radius = 0.15)            

RGL - R software and data visualization

To remove the axes, employ the statement axes = Faux.

Axis labels:

              rgl_init() plot3d(ten, y, z, col="blue", box = FALSE,        type ="s", radius = 0.15, xlab ="Sepal.Length",         ylab = "Petal.Length", zlab = "Sepal.Width")            

RGL - R software and data visualization

Add ellipse of concentration:

              rgl_init() plot3d(x, y, z, col="blue", box = False,        type ="due south", radius = 0.15) ellips <- ellipse3d(cov(cbind(x,y,z)),              middle=c(mean(10), hateful(y), mean(z)), level = 0.95) plot3d(ellips, col = "blue", alpha = 0.two, add together = TRUE, box = FALSE)            

RGL - R software and data visualization

Change the ellipse blazon: possible values for the argument type = c("shade", "wire", "dots")

              rgl_init() plot3d(x, y, z, col="bluish", box = Faux,        blazon ="s", radius = 0.15) ellips <- ellipse3d(cov(cbind(10,y,z)),              heart = c(mean(ten), mean(y), mean(z)), level = 0.95) plot3d(ellips, col = "blue", alpha = 0.5, add = TRUE, blazon = "wire")            

RGL - R software and data visualization

bbox3d(): Add bounding box ornamentation

              rgl_init() plot3d(x, y, z, col="blue", box = Simulated,        blazon ="southward", radius = 0.15) # Add together bounding box decoration rgl.bbox(color=c("#333377","blackness"), emission="#333377",          specular="#3333FF", shininess=5, alpha=0.8, nticks = 3 )  # Modify the axis attribute ratios aspect3d(ane,ane,ane)            

RGL - R software and data visualization

Some important functions

  • open3d(): Open a new device
  • Add a shape to the electric current scene:
  • points3d(x, y, z, …)
  • lines3d(ten, y, z, …)
  • segments3d(x, y, z, …)
  • quads3d(ten, y, z, …)
  • texts3d(10, y, z, text): Adds text
  • Depict boxes, axes and other text:
  • axes3d(): Add together standard axes
  • title3d(main, sub, xlab, ylab, zlab): Add titles
  • box3d(): Draws a box around the plot
  • mtext3d(): to put a text in the plot margin(southward)

RGL functions

Some important functions for managing RGL device are listed below:

Device direction

Functions Description
rgl.open up() Opens a new device
rgl.close() Closes the current device
rgl.cur() Returns the ID of the agile device
rgl.dev.list() Returns all device IDs
rgl.set(which) Set a device as active
rgl.quit() Shutdown the RGL device system

The equivalents in r3d interface:

Shape functions

Adds a shape node to the electric current scene.

Functions Clarification
rgl.points(10, y, z, …) Draws a point at x, y and z
rgl.lines(10, y, z, …) Draws line segments based on pairs of vertices (10 = c(x1,x2), y = c(y1,y2), z = c(z1, z2))
rgl.triangles(10, y, z, …) Draws triangles with nodes (xi, yi, zi), i = ane, ii, 3
rgl.quads(x, y, z) Draws quads with nodes (xi, yi, zi), i = 1, 2, 3, 4
rgl.spheres(x, y, z, r, …) Draws spheres with center (x, y, z) and radius r
rgl.texts(10, y, z, text, …) Adds text to the scene
rgl.surface(ten, y, z, …) Adds surface to the current scene. x and y are 2 vectors defining the filigree. z is a matrix defining the height of each filigree point

Scene management

Functions Description
rgl.clear(blazon = "shapes") Clears the scene from the specified stack ("shapes", "lights", "bboxdeco", "background")
rgl.pop(type = "shapes") removes the terminal-added node from stack

Setup the environment

Functions Description
rgl.viewpoint(theta, phi, fov, zoom, …) Set the viewpoint orientation. theta and phi are the polar coordinates. fov is the field-of-view angle in degrees. zoom: zoom factor.
rgl.light(theta, phi, …) Adds a light source to the scene
rgl.bg(…) Setup the groundwork surroundings of the scene
rgl.bbox(…) Setup the bounding box ornament

Appearance setup

Functions Clarification
rgl.material(…) Ready textile properties for geometry appearance
aspect3d(x, y, z) Set the attribute ratios of the ten, y and z axes

Export screenshot

Functions Description
rgl.snapshot("plot.png") Saves a screenshot every bit png file
rgl.postscript("plot.pdf",fmt="pdf") Saves the screenshot to a file in ps, eps, tex, pdf, svg or pgf format.

Assign focus to an RGL window

Rgl.bringtotop(): 'rgl.bringtotop' brings the electric current RGL window to the front of the window stack (and gives it focus).

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