Cars example

# ggplot2 examples
library(ggplot2)
#use color brewer as default discrete colors
scale_colour_discrete <- function(...) scale_color_brewer(palette="Set1", ...)
scale_fill_discrete <- function(...) scale_fill_brewer(palette="Set1", ...)

data('mtcars')
# create factors with value labels
mtcars$gear <- factor(mtcars$gear,levels=c(3,4,5),
     labels=c("3gears","4gears","5gears"))
mtcars$am <- factor(mtcars$am,levels=c(0,1),
     labels=c("Automatic","Manual"))
mtcars$cyl <- factor(mtcars$cyl,levels=c(4,6,8),
   labels=c("4cyl","6cyl","8cyl"))
head(mtcars)

##                    mpg  cyl disp  hp drat    wt  qsec vs        am   gear
## Mazda RX4         21.0 6cyl  160 110 3.90 2.620 16.46  0    Manual 4gears
## Mazda RX4 Wag     21.0 6cyl  160 110 3.90 2.875 17.02  0    Manual 4gears
## Datsun 710        22.8 4cyl  108  93 3.85 2.320 18.61  1    Manual 4gears
## Hornet 4 Drive    21.4 6cyl  258 110 3.08 3.215 19.44  1 Automatic 3gears
## Hornet Sportabout 18.7 8cyl  360 175 3.15 3.440 17.02  0 Automatic 3gears
## Valiant           18.1 6cyl  225 105 2.76 3.460 20.22  1 Automatic 3gears
##                   carb
## Mazda RX4            4
## Mazda RX4 Wag        4
## Datsun 710           1
## Hornet 4 Drive       1
## Hornet Sportabout    2
## Valiant              1

qplot(mpg, data=mtcars, geom="density", fill=gear, alpha=I(.5),
   main="Distribution of Gas Milage", xlab="Miles Per Gallon",
   ylab="Density")

qplot(hp, mpg, data=mtcars, shape=am, color=am,
   facets=gear~cyl, size=I(3),
   xlab="Horsepower", ylab="Miles per Gallon")

ggplot(mtcars, aes(wt, mpg, color = cyl)) +
  geom_point() +
  geom_smooth(method = "lm", formula = y~x) +
  labs(title = "Regression of MPG on Weight", x = "Weight", y = "Miles per Gallon")

qplot(gear, mpg, data=mtcars, geom=c("boxplot", "jitter"),
   fill=gear, main="Mileage by Gear Number",
   xlab="", ylab="Miles per Gallon")