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rdataframeggplot2ggridgesridgeline-plot

Add shaded region across all panels in ridgeline plot


I have a dataframe df:

 set.seed(3467)

 df<- data.frame(method= c(rep("A", 1000), rep("B", 1000), rep("C", 1000)), 
            beta=c(rnorm(1000, mean=0, sd=1),rnorm(1000, mean=2, sd=1.4),rnorm(1000, mean=0, sd=0.5)))

I wish to create a ridge plot like so:

ggplot(df, aes(x = beta, y = method, color = method, fill = method)) +
geom_density_ridges(size=1)+
scale_fill_manual(values = c("#228b2250", "#0072B250", "#483d8b50")) +
scale_color_manual(values = c("#228b22", "#0072B2", "#483d8b"), guide = "none") +
stat_density_ridges(quantile_lines = TRUE, quantiles = c(0.025, 0.5, 0.975), alpha = 0.6, size=1)

I wish to add a shaded rectangle like so:

ggplot(df) +
geom_rect(data = data.frame(x = 1),
        xmin = -1, xmax = 1, ymin = -Inf, ymax = Inf,
        alpha = 0.5, fill = "gray") +
geom_density_ridges2(aes(x = beta, fill = method, y = method))

However, this attempt is unsuccessful:

ggplot(df, aes(x = beta, y = method, color = method, fill = method)) +
geom_density_ridges(size=1)+
scale_fill_manual(values = c("#228b2250", "#0072B250", "#483d8b50")) +
scale_color_manual(values = c("#228b22", "#0072B2", "#483d8b"), guide = "none") +
stat_density_ridges(quantile_lines = TRUE, quantiles = c(0.025, 0.5, 0.975), alpha = 0.6, size=1)+
geom_rect(data = data.frame(x = 1),
        xmin = -1, xmax = 1, ymin = -Inf, ymax = Inf,
        alpha = 0.5, fill = "grey") 

The geom_rect() function does not seem to work with geom_density_ridges() only geom_density_ridges2().


Solution

  • Is this what you are looking for? This is a slight modification of your code. I think we can specifically specify the data frame and aes for each layer if some elements cannot be recognized.

    library(ggplot2)
    library(ggridges)
    
    ggplot() +
      geom_rect(data = data.frame(x = 1),
                xmin = -1, xmax = 1, ymin = -Inf, ymax = Inf,
                alpha = 0.5, fill = "gray") +
      geom_density_ridges(data = df, aes(x = beta, y = method, color = method, fill = method),
                          size=1)+
      scale_fill_manual(values = c("#228b2250", "#0072B250", "#483d8b50")) +
      scale_color_manual(values = c("#228b22", "#0072B2", "#483d8b"), guide = "none") +
      stat_density_ridges(data = df, aes(x = beta, y = method, color = method, fill = method),
                          quantile_lines = TRUE, quantiles = c(0.025, 0.5, 0.975), alpha = 0.6, size=1)
    

    enter image description here