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rlegendscatter3d

How to edit the legend of a scatter plot?

I made a plot with legend. By this code:

scatter3d(x = red, y = green, z = blue, groups = C1class$V1, surface. col = 1:21,
      grid = FALSE, surface = FALSE)
legend3d("right", legend = levels(C1class$V1),
   col = rainbow(21), pch = 16, inset = -0.25, xpd = TRUE)

But my graph looks like this:

enter image description here

How can I edit it to look better?
Can you help me with some function to fix it?
Thanks for you help.

Solution

  • You do not provide your data, so I cannot test your problem exactly, but I think that the example below will help you solve your problem.

    I think that your problem stems from including the parameter inset = -0.25. That is shifting the legend out of the display area. Looking at your picture, I think that the reason that you did that is because otherwise the legend covers over part of the scatterplot. A different way to fix this is to adjust the drawing area using windowRect to allow more space.

    A plot like yours with the legend chopped off.

    scatter3d(x = iris[,1], y = iris[,2], z = iris[,3], groups = iris[,5], 
    surface.col = rainbow(3), grid = FALSE, surface = FALSE)
legend3d("right", legend = levels(iris[,5]),
   col = rainbow(3), inset = -0.25, pch = 16, xpd = TRUE)

    Cropped legend

    A second plot without the indent. Now the legend overlaps the plot.

    scatter3d(x = iris[,1], y = iris[,2], z = iris[,3], groups = iris[,5], 
    surface.col = rainbow(3), grid = FALSE, surface = FALSE)
legend3d("right", legend = levels(iris[,5]),
   col = rainbow(3), pch = 16, xpd = TRUE)

    Legend overlaps plot

    Finally, the window size is adjusted to allow more room for the legend.

    par3d(windowRect = c(100, 100, 600, 350))
scatter3d(x = iris[,1], y = iris[,2], z = iris[,3], groups = iris[,5], 
    surface.col = rainbow(3), grid = FALSE, surface = FALSE)
legend3d("right", legend = levels(iris[,5]),
   col = rainbow(3), pch = 16, xpd = TRUE)

    Desired result

    You may need to adjust the windowRec differently for your data, but this setting will be a good place to start.