Scatterplot with combined colour and shape according to class?

[Steve O'Hagan]

Frequently we need to plot data that has too many classes for the number of distinct colours available.

Is there a way to assign different shapes and colours to classes via an appropriate ggplot2 aesthetic? e.g. class A -> blue squares, class B -> red circles, class C -> red squares, class D -> blue circles.

Thus with, say, eigth distinct colours and four distinct shapes one could represent 32 distinct classes.

Cheers,
Steve.

[Brandon Hurr]

You can define these classes in your dataframe and put them to use with scale_color_identity and scale_shape_identity.

library(tidyverse)

colors <- palette(rainbow(8))

shapes <- c(16, 15, 17, 18)

times <- c(1,2,3)

combos <- expand.grid(colors, shapes)

# https://stackoverflow.com/questions/8726961/r-repeat-elements-of-data-frame thanks Richie!

index <- rep(seq_len(nrow(combos)), each = 3) #creates a repeated index

combos <- combos[index, ] #store expanded df

example <- 

combos %>%

mutate( x = rep(times, times = nrow(.)/length(times))

, y = runif(nrow(.))

)

ggplot(example, aes(x = x, y=y, color = Var1, shape = Var2, group = interaction(Var1, Var2))) +

geom_point() +

geom_line() + 

scale_color_identity() + 

scale_shape_identity()

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