Reputation: 2279
With the data separated by categories (Samples A and B), 2 layers were made, one for points and one for lines. I want to separate my data by category indicating colors for the points and also separate the lines but with different colors than those used for the points.
library(ggplot2)
Sample <- c("a", "b")
Time <- c(0,1,2)
df <- expand.grid(Time=Time, Sample = Sample)
df$Value <- c(1,2,3,2,4,6)
ggplot(data = df,
aes(x = Time,
y = Value)) +
geom_point(aes(color = Sample)) +
geom_line(aes(color = Sample)) +
scale_color_manual(values = c("red", "blue")) + #for poits
scale_color_manual(values = c("orange", "purple")) #for lines
Upvotes: 3
Views: 1296
Reputation: 56179
Using colour columns and scale_color_identity:
df$myCol1 <- rep(c("red", "blue"), each = 3)
df$myCol2 <- rep(c("orange", "purple"), each = 3)
ggplot(data = df,
aes(x = Time,
y = Value)) +
geom_point(aes(color = myCol1)) +
geom_line(aes(color = myCol2)) +
scale_color_identity()
Upvotes: 3
Reputation: 124213
Making use of the ggnewscale
package this could be achieved like so:
library(ggplot2)
library(ggnewscale)
Sample <- c("a", "b")
Time <- c(0,1,2)
df <- expand.grid(Time=Time, Sample = Sample)
df$Value <- c(1,2,3,2,4,6)
ggplot(data = df,
aes(x = Time,
y = Value)) +
geom_point(aes(color = Sample)) +
scale_color_manual(name = "points", values = c("red", "blue")) + #for poits
new_scale_color() +
geom_line(aes(color = Sample)) +
scale_color_manual(name = "lines", values = c("orange", "purple")) #for lines
Upvotes: 6