在 r 中绘制散点图 3D [英] drawing scatterplot 3D in r

问题描述

我想在 scatterplot3d 中可视化我的数据

I would like to visualize my data in a scatterplot3d

在我的 X 和 Y 轴上，我想要相同的标签.像这样:

On my X and Y axis, I would like the same lables. Something like this:

x<-c("A","B","C","D")
y<-c("A","B","C","D")

在Z轴上，我想展示X和Y标签之间的比较

on the Z axis, I would like to show the comparision between lables in X and Y

A with A
A with B
A with c
A with D
B with B
B with C
B with D
C with C
C with D
D with D

#altogether 10 values in Z
z<-c(0.25, 0.7, 0.35, 1.14, 0.85, 0.36, 0.69, 0.73, 0.023, 0.85) 

现在我想在 scatterplot3d 上绘制所有这些信息.我如何在 scatterplot3d 上实现这个概念?

Now I want to draw all of of these infos on scatterplot3d. How can I implement this concept on scatterplot3d?

推荐答案

如果要绘制点，则需要匹配 (x,y,z) 值的三元组.您可以创建与 z 中的位置匹配的 x 和 y 值与

If you want to plot points, you need to match triplets of (x,y,z) values. You can create x and y values matching the positions in z with

xx <- factor(rep(x, 4:1), levels=x)
yy <- factor(unlist(sapply(1:4, function(i) y[i:4])), levels=y)

然后你可以用

library(scatterplot3d)
scatterplot3d(xx,yy,z, 
    x.ticklabs=c("",x,""), y.ticklabs=c("",y,""), 
    type="h", lwd=2,
    xlim=c(0,5), ylim=c(0,5))

得到

但老实说，这似乎不是一个特别有效的可视化.

But honestly this doesn't seem like a particularly effective visualization.

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