Let\'s say I have the following data set:
set.seed(1)
df <- data.frame(
Index = 1:10,
Heat = rnorm(10),
Cool = rnorm(10),
Other = rnorm(10),
a = rno
Mixing your own colors in with a default color palette is a breathtakingly bad idea. Nevertheless, here is one way to do it - similar to the other answer but perhaps a bit more general, and uses ggplot's default color palette for everything else as you asked.
library(ggplot2)
library(reshape2)
gg.df <- melt(df, id="Index", value.name="Component")
ggp <- ggplot(gg.df, aes(x = Index, y = Component, color = variable)) +
geom_line()
lvls <- levels(gg.df$variable)
cols <- setNames(hcl(h=seq(15, 375, length=length(lvls)+1), l=65, c=100),lvls)
cols[c("Heat","Cool","Other")] <- c("#FF0000","#0000FF","#00FF00")
ggp + scale_color_manual(values=cols)
Edit: Just realized that I never said why this is a bad idea. This post gets into it a bit, and has a few really good references. The main point is that the default colors are chosen for a very good reason, not just to make the plot "look pretty". So you really shouldn't mess with them unless there's an overwhelming need.