以下是"标签位置优化的示例"使用ggplot2和ggrepel:
x = c(0.8846, 1.1554, 0.9317, 0.9703, 0.9053, 0.9454, 1.0146, 0.9012,
0.9055, 1.3307)
y = c(0.9828, 1.0329, 0.931, 1.3794, 0.9273, 0.9605, 1.0259, 0.9542,
0.9717, 0.9357)
ShortSci = c("MotAlb", "PruMod", "EriRub", "LusMeg", "PhoOch", "PhoPho",
"SaxRub", "TurMer", "TurPil", "TurPhi")
df <- data.frame(x = x, y = y, z = ShortSci)
library(ggplot2)
library(ggrepel)
ggplot(data = df, aes(x = x, y = y)) + theme_bw() +
geom_text_repel(aes(label = z),
box.padding = unit(0.45, "lines")) +
geom_point(colour = "green", size = 3)
问题:是否可以以某种方式将标签位置的坐标作为向量抓取?
非常感谢!
答案 0 :(得分:3)
在@Henrik建议的链接中,有许多有趣的想法可以获得ggrepel
标签位置
这是个人的改造:
x = c(0.8846, 1.1554, 0.9317, 0.9703, 0.9053, 0.9454, 1.0146, 0.9012, 0.9055, 1.3307)
y = c(0.9828, 1.0329, 0.931, 1.3794, 0.9273, 0.9605, 1.0259, 0.9542, 0.9717, 0.9357)
ShortSci = c("MotAlb", "PruMod", "EriRub", "LusMeg", "PhoOch", "PhoPho",
"SaxRub", "TurMer", "TurPil", "TurPhi")
df <- data.frame(x = x, y = y, z = ShortSci)
library(ggplot2)
library(ggrepel)
p1 <- ggplot(data = df, aes(x = x, y = y)) + theme_bw() +
geom_text_repel(aes(label = z),
box.padding = unit(0.45, "lines")) +
geom_point(colour = "green", size = 3)
p1
# Get x and y plot ranges
xrg <- ggplot_build(p1)$layout$panel_ranges[[1]]$x.range
yrg <- ggplot_build(p1)$layout$panel_ranges[[1]]$y.range
library(grid)
grid.force()
kids <- childNames(grid.get("textrepeltree", grep = TRUE))
# Function: get the x and y positions of a single ggrepel label
get.xy.pos.labs <- function(n) {
grb <- grid.get(n)
data.frame(
x = xrg[1]+diff(xrg)*convertX(grb$x, "native", valueOnly = TRUE),
y = yrg[1]+diff(yrg)*convertY(grb$y, "native", valueOnly = TRUE)
)
}
# Get positions of all ggrepel labels
dts <- do.call(rbind, lapply(kids, get.xy.pos.labs))
dts$lab <- df$z
print(dts)
# x y lab
# 1 0.8871681 0.9945523 MotAlb
# 2 1.1441033 1.0214568 PruMod
# 3 0.9431081 0.9194218 EriRub
# 4 0.9977394 1.3906067 LusMeg
# 5 0.8900197 0.9160821 PhoOch
# 6 0.9597605 0.9471191 PhoPho
# 7 1.0033184 1.0144658 SaxRub
# 8 0.8898377 0.9424059 TurMer
# 9 0.9340703 0.9722663 TurPil
# 10 1.3063754 0.9358787 TurPhi
# Plot labels using the positions calculated using get.xy.pos.labs
p2 <- ggplot(data = df, aes(x = x, y = y)) + theme_bw() +
geom_text(aes(x=x,y=y, label=lab), data=dts, col="red")+
geom_point(colour = "green", size = 3)
p2
2018年12月更新
使用ggplot2
版本 3.1.0 (和更新版本),您需要使用以下代码来获取x和y范围(请参阅@VilmantasGegzna here的答案详情):
# Get x and y plot ranges
ggp1 <- ggplot_build(p1)
xrg <- ggp1$layout$panel_params[[1]]$x.range
yrg <- ggp1$layout$panel_params[[1]]$y.range
以下是geom_text_repel
给出标签的情节以及使用计算位置定位标签的情节。