Let me start by introducing myself as a biologist with only a little knowledge about programming in matlab and R. In the past I have succesfully created my figures in matlab using the hist3d command, but I have not access to matlab right now and would like to switch to R.
I have used the plot command to create a figure of my data and it does almost what I want it to do. My data matrix looks like this (these are the first few lines from it, copied from R console): Time Abs [1,] 0.09714286 24 [2,] 0.19428571 24 [3,] 0.19428571 24 [4,] 0.29142857 24 [5,] 0.38857143 23 [6,] 0.38857143 22 [7,] 0.48571429 23 [8,] 0.58285714 21 [9,] 0.58285714 21 [10,] 0.68000000 23 [11,] 0.68000000 25 [12,] 0.68000000 23 [13,] 0.77714286 23 [14,] 0.77714286 23 [15,] 0.87428571 21 [16,] 0.87428571 20 [17,] 0.87428571 22 [18,] 1.06857143 23 [19,] 1.06857143 25 The example shows that some of the plotted points appear more than once. I would like to use a heatmap to show that these points have more weight, but I have difficulty arranging the data to be plotted correctly using the image() or heatmap() command. So what I would want to do is to get the same figure as when I use the plot command, but have colors representing the weight of the plotted points (wether they occur once, twice or multiple times). I have tried searching this forum and also used google, but I seem to keep going in circles. I think that the image() command fits my needs, but that my input data is not in the correct format. Attached I have an image example from R and an image example from matlab. This is how far I got using R: http://r.789695.n4.nabble.com/file/n3327986/example_R.jpg This is the result I am aiming for: http://r.789695.n4.nabble.com/file/n3327986/example_matlab.jpg -- View this message in context: http://r.789695.n4.nabble.com/re-arranging-data-to-create-an-image-or-heatmap-tp3327986p3327986.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.