I was trying to implement multicolor texts as shown here:
multicolor text on chart
which referenced this:
multicolor text in R
This is what I
A possible strategy wrapping the words in a dummy table,
library(gridExtra)
library(grid)
library(ggplot2)
title = c('Concentration of ','affluence',' and ','poverty',' nationwide')
colors = c('black', '#EEB422','black', '#238E68','black')
grid.arrange(ggplot(),
top = tableGrob(t(title),
theme=ttheme_minimal(padding=unit(c(0,2),'mm'),
base_colour = colors)))
enter image description here
Here's a more general approach that takes advantage of a few additional grid functions. It's not particularly well-polished, but it may give you some useful ideas:
library(grid)
library(ggplot2)
p <- ggplot(data=mtcars, aes(mpg,hp,color=factor(cyl),size=2)) +
geom_point() + theme_bw() +
opts(title = " \n ") + opts(legend.position="none")
## Get factor levels
levs <- levels(factor(mtcars$cyl))
n <- length(levs)
## Get factors' plotting colors
g <- ggplot_build(p)
d <- unique(g$data[[1]][c("colour", "group")])
cols <- d$colour[order(d$group)]
## Use widest label's width to determine spacing
labs <- paste(levs, "cylinder")
xlocs <- unit(0.5, "npc") +
1.1 * (seq_len(n) - mean(seq_len(n))) * max(unit(1, "strwidth", labs))
## Plot labels in top 10% of device
pushViewport(viewport(y=0.95, height=0.1))
grid.text(paste(levs, "cylinder"),
x = xlocs, y=unit(0.5, "lines"),
gp = gpar(col=cols, fontface="bold"))
grid.text("- Horsepower versus Miles per Gallon",
y = unit(-0.5, "lines"))
upViewport()
## Plot main figure in bottom 90% of device
pushViewport(viewport(y=0.45, height=0.9))
print(p, newpage=FALSE)
upViewport()