csv - creating heatmap with R with eye-tracker data -

i have table composed following data

frame,x,y 

which resulting data several eye tracking analysis. create heatmap using r, following

i tried several script found online, none of them gave me result.

how can do?

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here sample data ignore first 2 columns

task,visualization,frame,x,y 1,b,1,383,221 1,b,1,632,356 1,b,1,947,663 1,b,1,546,206 1,b,1,488,272     1,b,1,578,752 1,b,1,415,261 1,b,1,693,158 1,b,1,684,528 1,b,1,592,67 1,b,1,393,180 1,b,1,1033,709 1,b,1,1080,739 1,b,1,711,523 1,b,1,1246,49 1,b,1,742,69 1,b,1,601,370 1,b,10,902,684 1,b,10,517,241 1,b,10,583,86 1,b,10,582,754 1,b,10,426,257 1,b,10,575,229 1,b,10,697,150 1,b,10,379,520 1,b,10,390,286 1,b,10,618,396 1,b,10,710,143 1,b,10,383,188 1,b,10,1026,713 1,b,10,1078,625 1,b,10,713,521 

you can type of plot quite using stat_bin2d ggplot2:

library(ggplot2) ggplot(dat, aes(x = x, y = y)) + stat_bin2d(bins = 10) 

this simple binning, @romanlustrik suggested perform kind of kernel smoothing. can done using ggplot2:

ggplot(dat, aes(x = x, y = y)) +   stat_density2d(geom = "tile", aes(fill = ..density..), contour = false) +   geom_point() 

note dat example data gave, geting data data.frame:

dat = read.table(textconnection("task,visualization,frame,x,y     1,b,1,383,221     1,b,1,632,356     1,b,1,947,663     1,b,1,546,206     1,b,1,488,272         1,b,1,578,752     1,b,1,415,261     1,b,1,693,158     1,b,1,684,528     1,b,1,592,67     1,b,1,393,180     1,b,1,1033,709     1,b,1,1080,739     1,b,1,711,523     1,b,1,1246,49     1,b,1,742,69     1,b,1,601,370     1,b,10,902,684     1,b,10,517,241     1,b,10,583,86     1,b,10,582,754     1,b,10,426,257     1,b,10,575,229     1,b,10,697,150     1,b,10,379,520     1,b,10,390,286     1,b,10,618,396     1,b,10,710,143     1,b,10,383,188     1,b,10,1026,713     1,b,10,1078,625     1,b,10,713,521"), header = true, sep = ",")