Eli*_*eth 6 3d graphics plot r gridlines
我正在写一个提案,需要一个像这样的3D图:

但最好更有吸引力.我需要每个点的大小来反映物种的丰富程度以及通过连接点创建的体积轮廓.
样本数据:
input<-data.frame(
label=c("sp1","sp2","sp3","sp4"),
trait_x=c(6,6,6,1),
trait_y=c(7,7,7,1),
trait_z=c(8,8,8,1),
point_size=c(6,7,8,1)
)
input
label trait_x trait_y trait_z point_size
1 sp1 6 7 8 6
2 sp2 6 7 8 7
3 sp3 6 7 8 8
4 sp4 1 1 1 1
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关于如何使这样的图形更具吸引力的任何建议(可能包括网格线?但我不希望轴上有任何数字)
我玩过scatterplot3d,但它没有绘制我的所有观点,我个人发现立方体有一个奇怪的外观......就像它不太准确...
library(scatterplot3d)
x<-input$trait_x
y<-input$trait_y
z<-input$trait_z
scatterplot3d(x,y,z,xlim=c(0,10),ylim=c(0,10),zlim=c(0,10))
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Bry*_*son 14
这应该让你开始使用包rgl.注意:在重新阅读时,我看到我使用的xyz坐标与你的有点不同,但概念是一样的.
input<-data.frame( # I adjusted the values for better appearance in demo
label=c("sp1","sp2","sp3","sp4"),
trait_x=c(6,7,11,1),
trait_y=c(10,7,9,1),
trait_z=c(4,7,6,1),
point_size=c(6,7,8,1)
)
names(input) <- c("name", "x", "y", "z", "radius")
input$radius <- input$radius*0.2
require("rgl")
spheres3d(input[,2:4], radius = input[,5], col = c("red", "green", "blue", "orange"), alpha = 0.5)
axes3d(box = TRUE)
title3d(xlab = "x_trait", ylab = "y_trait", zlab = "z_trait")
text3d(input[1,2:4], texts = "species X")
# next line is clunky but you can do it more elegantly
segs <- rbind(input[1:2,2:4], input[2:3,2:4], input[3:4,2:4], input[c(4,1),2:4])
segments3d(segs)
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现在,您可以交互式地旋转图表,然后用于rgl.snapshot获取硬拷贝(在spheres3d中使用antialias参数将改进图表).
