我想在 R 的 rgl 窗口中创建 3D 极树图。
我调整了代码here，最初用于创建 2D 树状图（非极坐标），在 3D rgl 窗口中创建树状图：
a <- list() # initialize empty object
# define merging pattern:
# negative numbers are leaves,
# positive are merged clusters (defined by row number in $merge)
a$merge <- matrix(c(-1, -2,
-3, -4,
1, 2), nc=2, byrow=TRUE )
a$height <- c(1, 1.5, 3) # define merge heights
a$order <- 1:4 # order of leaves(trivial if hand-entered)
a$labels <- LETTERS[1:4] # labels of leaves
class(a) <- "hclust" # make it an hclust object
plot(a) # look at the result
# Convert to a dendrogram object.
ad <- as.dendrogram(a)
# dend_data contains segment information
library(ggdendro)
dend_data <- dendro_data(ad, type = "rectangle")
nodes <- dend_data$segments
# Append z value of 0 so that the dendrogram lies in a 2D plane embedded in 3D space.
nodes_3d <- cbind(nodes, z = 0, zend = 0)
nodes_3d <- nodes_3d[,c(1, 2, 5, 3, 4, 6)]
# Convert nodes_3d to nodes_3dLong, which is used by segments3d function to draw lines.
colnames(nodes_3d) <- NULL
nodes_3da <- nodes_3d[,1:3]
nodes_3db <- nodes_3d[,4:6]
nodes_3dLong <- do.call(rbind, lapply(1:nrow(nodes_3d),
function(i) rbind(unlist(c(nodes_3da[i,])),
unlist(c(nodes_3db[i,])))))
# Plot the dendrogram in 3D.
library(rgl)
open3d()
segments3d(nodes_3dLong)
上面的代码（完全可重现）在 rgl 窗口的 3D 空间中生成树状图。我想在 rgl 窗口中将此树状图转换为极树状图。极树图应仍位于 3D 空间中的 2D 平面中。唯一的区别是它是极树图。对于 2D 图像，ggplot2 中的 coord_polar 用于创建极坐标树图。但我不知道如何在 3D 中做到这一点。
附：转换为3D极树图后，我想通过translate3d在指定位置添加3D网格。因此，我希望任何解决方案都能够通过添加新的 3D 网格来进一步编辑此 3D 极树图。谢谢。
这是一些转换的代码nodes通过向其添加极坐标来从计算中获取变量，然后使用该变量绘制树：
a <- list() # initialize empty object
# define merging pattern:
# negative numbers are leaves,
# positive are merged clusters (defined by row number in $merge)
a$merge <- matrix(c(-1, -2,
-3, -4,
1, 2), nc=2, byrow=TRUE )
a$height <- c(1, 1.5, 3) # define merge heights
a$order <- 1:4 # order of leaves(trivial if hand-entered)
a$labels <- LETTERS[1:4] # labels of leaves
class(a) <- "hclust" # make it an hclust object
plot(a) # show it
# Convert to a dendrogram object.
ad <- as.dendrogram(a)
# dend_data contains segment information
library(ggdendro)
dend_data <- dendro_data(ad, type = "rectangle")
nodes <- dend_data$segments
# Set the gap between the ends of the tree
gap <- 0
# Set the offset from the center.
offset <- 0
radius <- with(nodes, max(c(y, yend)) + offset)
circ <- with(nodes, max(c(x, xend)) + gap)
# Convert to polar coordinates
nodes$theta <- with(nodes, 2*pi*x/circ)
nodes$thetaend <- with(nodes, 2*pi*xend/circ)
nodes$r <- with(nodes, (radius - y)/radius)
nodes$rend <- with(nodes, (radius - yend)/radius)
# Extract the horizontal and vertical segments
horiz <- subset(nodes, y == yend)
vert <- subset(nodes, x == xend)
library(rgl)
open3d()
#> glX
#> 1
# Draw the vertical segments, which are still segments
x <- with(vert, as.numeric(rbind(r*cos(theta), rend*cos(theta))))
y <- with(vert, as.numeric(rbind(r*sin(theta), rend*sin(theta))))
segments3d(x, y, z = 0)
# Draw the horizontal segments, which are now arcs. Zero
# radius arcs are dropped
horiz <- subset(horiz, r > 0)
with(horiz, arc3d(from = cbind(r*cos(theta), r*sin(theta), 0),
to = cbind(r*cos(thetaend), r*sin(thetaend), 0),
center = c(0, 0, 0)))
# Draw the labels
labels <- dend_data$labels
labels$theta <- with(labels, 2*pi*x/circ)
# Add a bit to the y so the label doesn't overlap the segment
labels$r <- with(labels, (radius - y)/radius + 0.1)
with(labels, text3d(r*cos(theta), r*sin(theta), 0, label))
# Draw a circle around the whole thing
margin <- 0.25 # The gap below the leaves
theta <- seq(from = 0, to = 2*pi, length = 50)
r <- 1 + margin
lines3d(r*cos(theta), r*sin(theta), 0)
Created on 2023-04-12 with reprex v2.0.2
标签的位置应该为您提供有关如何定位网格物体的提示。
顺便说一句，这段代码中可能存在一个错误：如果任何弧线绕圆超过一半，它们就会被绘制在错误的方向上。如果这是一个问题，请将这些部分分成几个弧线。