使用scale_size_area,从顶部和底部添加线到下一个区域点

2023年7月7日 467次阅读

标题是不好的,但让我解释一下.我的目标是从大的“保持”圆圈(在12:00)的顶部到“后退”圆圈的顶部(在12:00)有一条线,依此类推.然后还有一条从大圆底部(6:00)到下一个最大圆底部的线,依此类推.是否可以在不手动放置线段的情况下添加此类线路？谢谢.

# example data frame
df <- data.frame(Documents = c(1.5e5, .6e5, .3e5, .1e5), stages = c("Hold", "Back", "Trust", "Camp"), x = c(12, 18, 25, 35), y = c(10, 8, 7, 6))

library("ggplot2")
library(ggthemes)
ggplot(df, aes(x = x, y = y, size = Documents)) +
  geom_point(color = "grey30", alpha = 0.3) + theme_tufte() +
  scale_size_area(max_size = 35) + 
  geom_text(aes(label = stages), size = 6, color = "red") + 
  theme(axis.text = element_blank()) +
  labs(x = "", y = "", fill = "Documents") +
  theme(legend.position = "bottom") + 
  xlim(8, 38) + ylim(5, 13)

最佳答案 这是一个尝试,它采用ggplot生成的绘图,然后在视口内绘制与ggplot绘图面板具有相同比例的线. ggplot的内部数据给出了圆点的大小 – 我想.我认为这是圆的半径.因此,要获得圆的顶部和底部,我需要将“原生”单位添加到“点”单位并将其减去.我不知道如何在ggplot中做到这一点,但它可以在网格中完成;因此视口.

但是你会注意到线条(和点)并不完全在所有圆圈的圆周上 – 不确定原因.

我对你的ggplot做了一个小改动 – 在两个轴上展开= c(0,0),这样就可以给视口提供与绘图面板相同的比例.

# example data frame
df <- data.frame(Documents = c(1.5e5, .6e5, .3e5, .1e5), stages = c("Hold", "Back", "Trust", "Camp"), x = c(12, 18, 25, 35), y = c(10, 8, 7, 6))

library("ggplot2")
library(ggthemes)
library(grid)

p = ggplot(df, aes(x = x, y = y, size = Documents)) +
  geom_point(color = "grey30", alpha = 0.3)  + theme_tufte() +
  scale_size_area(max_size = 35) + 
  geom_text(aes(label = stages), size = 6, color = "red") + 
  theme(axis.text = element_blank()) +
  labs(x = "", y = "", fill = "Documents") +
  theme(legend.position = "bottom") + 
  scale_x_continuous(limits = c(8,38), expand = c(0,0)) +
  scale_y_continuous(limits = c(5,13), expand = c(0,0))

p

# Get the size of the dots from ggplot's internal data.
# I think "size" is radius in "pts".
g = ggplot_build(p)
df$size = g$data[[1]]$size

# Set up viewport for the plot panel
current.vpTree() # Find the plot panel
downViewport("panel.6-4-6-4")

# Set up scales in the plot panel - see "limits" in ggplot
pushViewport(dataViewport(yscale = c(5,13), xscale = c(8,38)))

# Draw points and lines 
grid.points(x = unit(df$x, "native"), y = unit(df$y, "native") + unit(df$size, "pt"), pch = 19, gp = gpar(col = "blue", cex = .5), default.units = "native") 
grid.points(x = unit(df$x, "native"), y = unit(df$y, "native") - unit(df$size, "pt"), pch = 19, gp = gpar(col = "blue", cex = .5), default.units = "native") 
grid.lines(x = unit(df$x, "native"), y = unit(df$y, "native") + unit(df$size, "pt"), gp = gpar(col = "blue", lwd = 2), default.units = "native") 
grid.lines(x = unit(df$x, "native"), y = unit(df$y, "native") - unit(df$size, "pt"), gp = gpar(col = "blue", lwd = 2), default.units = "native") 

popViewport()
popViewport()
popViewport()
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