In this case, everything is ok:
x <- 1:10
y <- x^3
plot(x, y)
identify(x, y)
But, using qplot there are some troubles:
x <- 1:10
y <- x^3
qplot(x, y)
identify(x, y)
Does anybody know a similar command or other way to label specific points in ggplot2 graphs?
You may convert your plot, made with ggplot2
to interactive graph by using function ggplotly
from package plotly
, e.g.:
library(ggplot2)
library(plotly)
# Prepare data
x <- 1:10
y <- x^3
names <- paste("Point", LETTERS[x])
# Make a plot with `ggplot` as usual
qplot(x, y, label = names)
# Convert it to interactive plot
ggplotly()
Then move your cursor over a point of interest and find information about it.
Here is a method that works using only the grid
and ggplot2
packages:
library(ggplot2)
library(grid)
x <- 1:10
y <- x^3
qplot(x, y)
downViewport('panel-3-4')
pushViewport(dataViewport(x,y))
tmp <- grid.locator('in')
tmp.n <- as.numeric(tmp)
tmp2.x <- as.numeric(convertX( unit(x,'native'), 'in' ))
tmp2.y <- as.numeric(convertY( unit(y,'native'), 'in' ))
w <- which.min( (tmp2.x-tmp.n[1])^2 + (tmp2.y-tmp.n[2])^2 )
grid.text(w, tmp$x, tmp$y )
If you want a text label instead of the number your could replace w
in the call to grid.text
with something like letters[w]
(or whatever vector of labels you want).
If you are going to be doing several of these then you could wrap this in a function with the last few lines possibly in a loop. You could also add addtional logic to warn if you don't click near a point (like identify does) or to move the label closer or further from the point (this version places the label for the nearest datapoint at the point that you click).
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