examples/geom_segment_interactive.R

In davidgohel/ggiraph: Make 'ggplot2' Graphics Interactive

library(ggplot2)
library(ggiraph)

counts <- as.data.frame(table(x = rpois(100,5)))
counts$x <- as.numeric( as.character(counts$x) )
counts$xlab <- paste0("bar",as.character(counts$x) )

gg_segment_1 <- ggplot(data = counts, aes(x = x, y = Freq,
			yend = 0, xend = x, tooltip = xlab ) ) +
	geom_segment_interactive( size = I(10))
x <- girafe(ggobj = gg_segment_1)
if( interactive() ) print(x)

dataset = data.frame(x=c(1,2,5,6,8),
		y=c(3,6,2,8,7),
		vx=c(1,1.5,0.8,0.5,1.3),
		vy=c(0.2,1.3,1.7,0.8,1.4),
		labs = paste0("Lab", 1:5))
dataset$clickjs = paste0("alert(\"",dataset$labs, "\")" )

gg_segment_2 = ggplot() +
	geom_segment_interactive(data=dataset, mapping=aes(x=x, y=y,
			xend=x+vx, yend=y+vy, tooltip = labs, onclick=clickjs ),
		arrow=grid::arrow(length = grid::unit(0.03, "npc")),
		size=2, color="blue") +
	geom_point(data=dataset, mapping=aes(x=x, y=y),
		size=4, shape=21, fill="white")

x <- girafe(ggobj = gg_segment_2)
if( interactive() ) print(x)

df <- data.frame(x1 = 2.62, x2 = 3.57, y1 = 21.0, y2 = 15.0)
p <- ggplot(df, aes(x = x1, y = y1, xend = x2, yend = y2)) +
  geom_curve_interactive(aes(colour = "curve", tooltip=I("curve"))) +
  geom_segment_interactive(aes(colour = "segment", tooltip=I("segment")))

x <- girafe(ggobj = p)
if( interactive() ) print(x)