Specific Variable Color in ggplot

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无人共我
无人共我 2021-01-24 01:32

Let\'s say I have the following data set:

set.seed(1)
df <- data.frame(
  Index = 1:10,
  Heat = rnorm(10),
  Cool = rnorm(10),
  Other = rnorm(10),
  a = rno         


        
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  • 2021-01-24 01:52

    Mixing your own colors in with a default color palette is a breathtakingly bad idea. Nevertheless, here is one way to do it - similar to the other answer but perhaps a bit more general, and uses ggplot's default color palette for everything else as you asked.

    library(ggplot2)
    library(reshape2)
    gg.df <- melt(df, id="Index", value.name="Component")
    ggp <- ggplot(gg.df, aes(x = Index, y = Component, color = variable)) +
      geom_line()
    
    lvls  <- levels(gg.df$variable)
    cols  <- setNames(hcl(h=seq(15, 375, length=length(lvls)+1), l=65, c=100),lvls)
    cols[c("Heat","Cool","Other")] <- c("#FF0000","#0000FF","#00FF00")
    
    ggp + scale_color_manual(values=cols)
    

    Edit: Just realized that I never said why this is a bad idea. This post gets into it a bit, and has a few really good references. The main point is that the default colors are chosen for a very good reason, not just to make the plot "look pretty". So you really shouldn't mess with them unless there's an overwhelming need.

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  • 2021-01-24 02:05

    Something like the following might work. First I set up the colour scale:

    plot_data <- tidyr::gather(df, key = 'Variable', value = 'Component', -Index)
    vars <- levels(plot_data$Variable)
    colours <- character(length(vars))
    colours[vars=="Heat"] <- "red"
    colours[vars=="Cool"] <- "blue"
    colours[vars=="Other"] <- "green"
    other_colours <- c("orange", "purple", "brown", "gold")
    others <- !(vars %in% c("Heat", "Cool", "Other"))
    colours[others] <- other_colours[1:sum(others)]
    

    The idea is to manually assign your desired colours first, and then assign colours from some list to the other elements. If you need more colours for other_colours, you can get a complete list of named colours using colours().

    Then the plot is produced by:

    ggplot(plot_data, aes(Index, Component, colour = Variable)) + 
              geom_line() +
              scale_colour_manual(values = colours)
    

    I don't think that it is possible to use scale_colour_manual and still let ggplot pick some colours automatically.

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