AppliedPredictiveModeling (version 1.1-7)

FuelEconomy: Fuel Economy Data

Description

The http://fueleconomy.gov website, run by the U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy and the U.S. Environmental Protection Agency, lists different estimates of fuel economy for passenger cars and trucks. For each vehicle, various characteristics are recorded such as the engine displacement or number of cylinders. Along with these values, laboratory measurements are made for the city and highway miles per gallon (MPG) of the car.

Predictors extracted from the website include: EngDispl, NumCyl, Transmission, AirAspirationMethod, NumGears, TransLockup, TransCreeperGear, DriveDesc, IntakeValvePerCyl, ExhaustValvesPerCyl, CarlineClassDesc, VarValveTiming and VarValveLift. The outcome used in the book is in column FE and is the unadjusted highway data.

Usage

data(FuelEconomy)

Value

cars2010

data in cars from model year 2010.

cars2011

cars introduced in 2011 that were not in the model year 2010 data.

cars2012

cars introduced in 2012 that were not in the model year 2010 or 2011 data

Examples

# NOT RUN {
data(FuelEconomy)

library(lattice)

### Plot shown in the text:

cars2010 <- cars2010[order(cars2010$EngDispl),]
cars2011 <- cars2011[order(cars2011$EngDispl),]

cars2010a <- cars2010
cars2010a$Year <- "2010 Model Year"
cars2011a <- cars2011
cars2011a$Year <- "2011 Model Year"

plotData <- rbind(cars2010a, cars2011a)

plotTheme <- bookTheme(FALSE)
plotTheme$plot.symbol$col <- rgb(.2, .2, .2, .5)
plotTheme$plot.symbol$cex <- 0.7
trellis.par.set(plotTheme)

xyplot(FE ~ EngDispl|Year, plotData,
       xlab = "Engine Displacement",
       ylab = "Fuel Efficiency (MPG)",
       between = list(x = 1.2))

# }