Below is an example of \"label location optimization\" using ggplot2 and ggrepel:
x = c(0.8846, 1.1554, 0.9317, 0.9703, 0.9053, 0.9454, 1.0146, 0.9012,
0.
At the link suggested by @Henrik there many interesting ideas for getting ggrepel
label locations.
Here is a personal reworking:
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)
x11(width=7,height=7)
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)
x11(width=7,height=7)
p2
UPDATE December 2018
With ggplot2
version 3.1.0 (and newer) you need to use the following code to get the x- and y-range (see the answer of @VilmantasGegzna here for details):
# 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
Here are the plot with labels given by geom_text_repel
and the plot with the labels positioned using the calculated positions.