library(ggplot2)
## This example uses the ChickWeight dataset, which comes with ggplot2
## First plot
p1 <- ggplot(ChickWeight, aes(x = Time, y = weight, colour = Diet, group = Chick)) +
geom_line() +
ggtitle("Growth curve for individual chicks")
## Second plot
p2 <- ggplot(ChickWeight, aes(x = Time, y = weight, colour = Diet)) +
geom_point(alpha = .3) +
geom_smooth(alpha = .2, size = 1) +
ggtitle("Fitted growth curve per diet")
## Third plot
p3 <- ggplot(subset(ChickWeight, Time == 21), aes(x = weight, colour = Diet)) +
geom_density() +
ggtitle("Final weight, by diet")
## Fourth plot
p4 <- ggplot(subset(ChickWeight, Time == 21), aes(x = weight, fill = Diet)) +
geom_histogram(colour = "black", binwidth = 50) +
facet_grid(Diet ~ .) +
ggtitle("Final weight, by diet") +
theme(legend.position = "none") # No legend (redundant in this graph)
## Combine plots and display
multiplot(p1, p2, p3, p4, cols = 2)
Run the code above in your browser using DataLab