ggplot2 heatmap with colors for ranged values

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面向向阳花
面向向阳花 2020-11-27 13:23

I want to make a heatmap in ggplot2. My toy data and code is:

set.seed(12345)
dat <- 
  data.frame(
      Row = rep(x = LETTERS[1:5], times = 10)
    , Co         


        
2条回答
  •  一个人的身影
    2020-11-27 13:42

    It's not clear if you want discrete colors or if the colors you list are just markers along the range of Y. I'll show both.

    For discrete colors, use Y1 as joran defines it

    dat$Y1 <- cut(dat$Y,breaks = c(-Inf,-3:3,Inf),right = FALSE)
    

    Then you can get a plot with the specific colors you list using a manual scale

    p <- ggplot(data =  dat, aes(x = Row, y = Col)) + 
          geom_tile(aes(fill = Y1)) +
          scale_fill_manual(breaks=c("\[-Inf,-3)", "\[-3,-2)", "\[-2,-1)", 
                                     "\[-1,0)", "\[0,1)", "\[1,2)", 
                                     "\[2,3)", "\[3, Inf)"),
                            values = c("white", "darkblue", "blue",
                                       "lightblue", "lightgreen", "green",
                                       "darkgreen", "white"))
    p
    

    I didn't know what you wanted for colours beyond -3 and 3, so I used white.

    If you wanted a continuous color, going from blue on the negative through white at 0 to green on the positive, scale_fill_gradient2 would work.

    ggplot(data =  dat, aes(x = Row, y = Col)) + 
      geom_tile(aes(fill = Y)) +
      scale_fill_gradient2(low="darkblue", high="darkgreen", guide="colorbar")
    

    enter image description here

    If you want fine detail control of color, such that the mapping is "darkblue" at 3, "blue" at 2, "lightblue" at 1, "white" at 0, etc., then scale_fill_gradientn will work for you:

    library("scales")
    ggplot(data =  dat, aes(x = Row, y = Col)) + 
      geom_tile(aes(fill = Y)) +
      scale_fill_gradientn(colours=c("darkblue", "blue", "lightblue", 
                                     "white",
                                     "lightgreen", "green", "darkgreen"),
                           values=rescale(c(-3, -2, -1,
                                            0,
                                            1, 2, 3)),
                           guide="colorbar")
    

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