p <- ggplot(data = data.frame(x = c(-5, 5)), mapping = aes(x = x)) p + stat_function(fun = dnorm, size = 2, color = "red") + xlab("z-scores") + ylab("Relative ...

For everything from styling text and customizing color palettes to creating your own geoms, these ggplot2 add-ons deserve a place in your R data visualization toolkit. Plus, a bonus list of packages ...

ggplot(mpg,aes(displ,hwy))+geom_point(aes(colour="blue")) ggplot(mpg, aes(displ, hwy)) + geom_point(colour = "blue") ggplot(mpg, aes(displ, colour = drv)) + geom ...

There’s a reason ggplot2 is one of the most popular add-on packages for R: It’s a powerful, flexible and well-thought-out platform to create data visualizations you can customize to your heart’s ...