I really like the solution proposed by @Brian Diggs. However, in my case, I create the line plots in a loop rather than giving them explicitly because I do not know apriori how many plots I will have. When I tried to adapt the @Brian's code I faced some problems with handling the colors correctly. Turned out I needed to modify the aesthetic functions. In case someone has the same problem, here is the code that worked for me.
I used the same data frame as @Brian:
data <- structure(list(month = structure(c(1317452400, 1317538800, 1317625200, 1317711600,
1317798000, 1317884400, 1317970800, 1318057200,
1318143600, 1318230000, 1318316400, 1318402800,
1318489200, 1318575600, 1318662000, 1318748400,
1318834800, 1318921200, 1319007600, 1319094000),
class = c("POSIXct", "POSIXt"), tzone = ""),
TempMax = c(26.58, 27.78, 27.9, 27.44, 30.9, 30.44, 27.57, 25.71,
25.98, 26.84, 33.58, 30.7, 31.3, 27.18, 26.58, 26.18,
25.19, 24.19, 27.65, 23.92),
TempMed = c(22.88, 22.87, 22.41, 21.63, 22.43, 22.29, 21.89, 20.52,
19.71, 20.73, 23.51, 23.13, 22.95, 21.95, 21.91, 20.72,
20.45, 19.42, 19.97, 19.61),
TempMin = c(19.34, 19.14, 18.34, 17.49, 16.75, 16.75, 16.88, 16.82,
14.82, 16.01, 16.88, 17.55, 16.75, 17.22, 19.01, 16.95,
17.55, 15.21, 14.22, 16.42)),
.Names = c("month", "TempMax", "TempMed", "TempMin"),
row.names = c(NA, 20L), class = "data.frame")
In my case, I generate my.cols
and my.names
dynamically, but I don't want to make things unnecessarily complicated so I give them explicitly here. These three lines make the ordering of the legend and assigning colors easier.
my.cols <- heat.colors(3, alpha=1)
my.names <- c("TempMin", "TempMed", "TempMax")
names(my.cols) <- my.names
And here is the plot:
p <- ggplot(data, aes(x = month))
for (i in 1:3){
p <- p + geom_line(aes_(y = as.name(names(data[i+1])), colour =
colnames(data[i+1])))#as.character(my.names[i])))
}
p + scale_colour_manual("",
breaks = as.character(my.names),
values = my.cols)
p