multiple feature scatter plot in ggplot2

Question

I want to make a scatterplot in ggplot2 where points with "Changed" equal to "yes" are red dots, the rest remaining grey, while points with "Significant" equal to "significant" have additional boarder in green, and the rest has a grey boarder. Here is my try:

  ggplot(df, aes(x = a, y = b)) +
  geom_point(aes(col = Changed)) +
  geom_point(aes(col = Significant)) +
  scale_color_manual(values = c("green", "red","grey", "grey")) +
  theme_bw(base_size = 12) + theme(legend.position = "bottom")

and input data:

structure(list(a = c(4.31316551, 5.7663368, 2.49063318, 5.83090286, 
3.11188057, 9.58084417, 4.08696886, 3.11188057, 6.43800344, 1.77771123, 
4.22594833), b = c(0.848363512, 0.045492721, 0.049883076, 0.136202457, 
0.572585532, 0.175069609, 0.000782666, 0.848363512, 0.254619199, 
0.378181529, 0.848363512), Significant = structure(c(1L, 2L, 
2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L), .Label = c("no", "yes"), class = "factor"), 
    Change = structure(c(1L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 
    1L, 1L), .Label = c("no", "yes"), class = "factor")), .Names = c("a", 
"b", "Significant", "Change"), class = "data.frame", row.names = c(NA, 
-11L))

Could you add a data sample please

Morgan Ball
– Morgan Ball

2017-09-05 08:40:25 +00:00
Commented Sep 5, 2017 at 8:40 — Morgan Ball
– Morgan Ball, Commented Sep 5, 2017 at 8:40
please see the update version

user2904120
– user2904120

2017-09-05 08:56:11 +00:00
Commented Sep 5, 2017 at 8:56 — user2904120
– user2904120, Commented Sep 5, 2017 at 8:56

Christoph Wolk · Accepted Answer · 2017-09-05 09:05:07Z

1

Two different ways of doing this:

ggplot(data = df, mapping = aes(x=a,y=b)) + 
  geom_point(shape = 21, size=3, mapping = aes(fill=Change, color=Significant)) + 
  scale_fill_manual(values=c("grey", "red")) + 
  scale_color_manual(values=c("grey","green"))

ggplot(data = df, mapping = aes(x=a,y=b)) + 
  geom_point(data=df[df$Significant == "no",], color="grey", size=5) + 
  geom_point(data=df[df$Significant == "yes",], color="green", size=5) +
  geom_point(size=3, mapping = aes(color=Change)) + 
  scale_color_manual(values=c("grey","red"))

answered Sep 5, 2017 at 9:05

Christoph Wolk

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2 Comments

user2904120 Over a year ago

thanks, I like the first one, just one more question, say there is a third specifier, e.g. a must be > 4, so the colors are even applied, otherwise they remain grey.

Christoph Wolk Over a year ago

I'd recommend just adding the computed conditions as new columns to the data set.

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