I am following Chapter 1 of Wickham and Grolemund\'s \"R for data science\" on visualization.
I have tried:
ggplot(data = mpg) + geom_point(mapping
I remember how completely confused I was by this when I started using ggplot.
To build on @Mauicio Calvao's answer, use color
inside the aes
to break up the colours in the plot by a variable of data.frame you are plotting eg:
ggplot(data = mpg) + geom_point(mapping = aes(x = displ, y = hwy, color = drv))
So when color
(or size
or linetype
or similar things) is inside the aes
it's really asking by what object\variable should the colour groups be determined. If this is a string (eg "blue"
) then they are all given the one group, but the name of that group isn't related to the actual colour.
To assign colours once grouped by color
inside the aes
you use scale_color_manual
ggplot(data = mpg) + geom_point(mapping = aes(x = displ, y = hwy, color = drv))+
scale_colour_manual(values = c("black","blue","orange"))