ggplot2 multiple geom_point in a single plot

Question

I want to visualize the relationship of y with A, B, and C separately across 10 levels of a group variable using geom_point().

My current plot can only plot y against A but I want B and C to be shown in each plot in different colors.

I was wondering how this might be achievable in ggplot2?

library(ggplot2)

dat <- read.csv('https://raw.githubusercontent.com/rnorouzian/e/master/sng.csv')

ggplot(dat)+aes(x=A, y = y, fill = group)+geom_point()+ # How can I have `B` and `C` next to `A` with other colors
  facet_wrap(~group)

Ronak Shah · Accepted Answer · 2020-09-30 04:32:26Z

2

Try the standard way : getting the data in long format.

library(ggplot2)

dat %>%
  tidyr::pivot_longer(cols = A:C) %>%
  ggplot()+aes(x=value, y = y, color = name) + 
  geom_point() + facet_wrap(~group)

answered Sep 30, 2020 at 4:32

Ronak Shah

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2 Comments

rnorouzian Over a year ago

For distinction of points, I can think of color, size, and shape, is there anything else for distinguishing points from one another?

Ronak Shah Over a year ago

Yes, those are enough to separate the points, I think.

akrun · Accepted Answer · 2020-09-30 23:26:06Z

1

We can use ggscatter from ggpubr

library(ggpubr)
library(purrr)
ggscatter(dat, x = c("A", "B", "C"), y = "y", color = "group", palette = "jco")  %>% 
      invoke(ggarrange, ., ncol = 2, nrow = 2)

-output

answered Sep 30, 2020 at 23:26

akrun

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