Hi- I am trying to plot a matrix of categorical values across time using color to represent each individual factor. For example:
1982 1983 1984 1985 1986 1987 1 19 19 68 68 19 19 68 2 68 68 19 19 68 68 19 3 26 26 34 34 26 26 26 4 57 34 57 57 34 57 34 5 34 57 26 26 57 34 57 6 28 28 28 28 28 58 58 7 60 10 58 58 58 28 28 8 58 58 42 27 10 39 39 9 22 39 22 42 42 27 42 10 39 22 10 39 39 20 10 I have 75 factors which could be in different positions through out time (26 years). I've successfully created a plot using both ggplot() and color2D.matplot(), but can not select enough distinct colors from the default color palettes available to be able to view differences in the data. I've tried messing with RGB values, Brewer palettes, etc. How can I select colors from a list of available colors without choosing ones which are too close in similarity to each other. For instance, I could have several very similar blues, but if the Hue or saturation was different on each, it would be fairly easy to tell the difference? Maybe there are too many factors to make this visual representation effective? Thanks in advance for your help! -- View this message in context: http://r.789695.n4.nabble.com/plotting-many-unique-colors-with-categorical-data-tp3721807p3721807.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.
