Given 'n' images in a png/jpeg format and 'n' corresponding coordinates in 2 dimensions (x,y): I would like to plot these images at the given coordinates on a single plot. If I find the images to be too big, I would ideally like to plot them as a smaller/scaled version at the given coordinates. How can i achieve such a plot in R?
An example of how such a plot would look is given below:
xy <- data.frame(x=runif(10, 0, 100), y=runif(10, 0, 100))
require(png)
img <- readPNG(system.file("img", "Rlogo.png", package="png"))
thumbnails <- function(x, y, images, width = 0.1*diff(range(x)),
height = 0.1*diff(range(y))){
images <- replicate(length(x), images, simplify=FALSE)
stopifnot(length(x) == length(y))
for (ii in seq_along(x)){
rasterImage(images[[ii]], xleft=x[ii] - 0.5*width,
ybottom= y[ii] - 0.5*height,
xright=x[ii] + 0.5*width,
ytop= y[ii] + 0.5*height, interpolate=FALSE)
}
}
plot(xy, t="n")
thumbnails(xy[,1], xy[,2], img)
The my.symbols
function along with ms.image
function (both from the TeachingDemos package) can be used to plot with images.
Here is an example:
library(png)
flag.list <- lapply( list.files('flags/',pattern='png$', full=TRUE),
function(x) readPNG(x) )
library(TeachingDemos)
ms.flags <- function(ind,...) {
tmp <- array(0, dim=c(150,150,4) )
tmp[ 26:125, , 1:3] <- flag.list[[ind]]
tmp[ 26:125, , 4 ] <- 1
ms.image(tmp,...)
}
x <- rnorm(50)
y <- rnorm(50)
my.symbols(x,y, symb = ms.flags, ind=1:50, symb.plots=TRUE,
add=FALSE, xlim=c(-3,3), ylim=c(-3,3), inches=0.75)
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