I have a little different data, but this here should make the point:
x = seq(1, 10, 0.1)
y = x + rnorm(10)
df = data.frame(x = x, y = y)
sample = sample(c(TRUE, FALSE),
nrow(df),
replace = T,
prob = c(.7, .3))
train = df[sample,]
test = df[!sample,]
Plotting the data, plus a quantile regression for the 50 % quantile I do this way:
ggplot(train, aes(x, y)) +
geom_point(aes(color = "train")) +
geom_point(data = test,
aes(color = "test")) +
geom_quantile(quantiles = 0.05,
aes(color = "median regression"))
Which gives this plot:
Now let's say that I would like to have my legend in the order:
How could I do that?
you can add a vector to the color palette, with names in order as you want:
ggplot(train, aes(x, y)) +
geom_point(aes(color = "train")) +
geom_point(data = test,
aes(color = "test")) +
geom_quantile(quantiles = 0.05,
aes(color = "median regression"))+
scale_color_discrete(limits = c("test", "median regression", "train"))
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