Hi, I have searched for a solution but I failed to find an answer. I am hoping you may be able to help me.
I have a data set where I have observations for a number of units (n =~40) over a period of time (t =~100) and I have a variable (Z) that codes a categorical variable for each observation. I want to produce a 2D plot where time is on the x-axis and units are on the y-axis. Then each block on the 2-d plot should take a color depending on variable Z. Z is not ordered so using a scale (like in heatmaps) does not make sense. In fact the values of Z have meanings that are intuitively related to colors (e.g. Z=3 means involvement by the "United Nations" so I want its color to be "blue"). Below is some code that gives an example of what I am aiming to do and why "heatmap" and "image" functions don't work for me. Thanks in advance for your help. # Example: Suppose Z had 3 values (0,1,2) and I had 8 observations. hitmep <- matrix(c(0,2,1,0,2,1,1,0),2,4) # Graph 1: heatmap(hitmep2, Rowv =NA, Colv =NA, labrow =NULL, scale ="none") # Graph 2: image(t(hitmep2), axes =FALSE) # I like the layout of the plots. My problem with these is that I don't want Z's values (0,1,2) to have colors on a scale. I want to specify, for example, 1="blue", 2="yellow" and 3="green". Do you know how to do this? Thanks in advance, Kerim Can Kavakli -- View this message in context: http://n4.nabble.com/specifying-colors-in-a-heatmap-image-like-plot-tp1472388p1472388.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.
