This package constitutes an interactive R problem set based on the RTutor package (https://github.com/skranz/RTutor).
In his paper "Automobiles on Steroids: Product Attribute Trade-Offs and Technological Progress in the Automobile Sector" Christopher R. Knittel (2012) estimates the technological progress that occured since 1980 and the trade-offs faced when choosing between different attributes such as weight, fuel economy or engine power characteristics.
The paper can be found at https://www.aeaweb.org/articles.php?doi=10.1257/aer.101.7.3368 .
To be able to work through this problem set, follow the steps listed below.
RTutor and this package is hosted on Github. To install everything, run the following code in your R console.
if (!require(devtools))
install.packages("devtools")
source_gist("gist.github.com/skranz/fad6062e5462c9d0efe4")
install.rtutor(update.github=TRUE)
install_github("MariusBreitmayer/RTutorAttributeTradeOffs")
To start the problem set first create a working directory in which files like the data sets and your solution will be stored. Then adapt and run the following code.
library(RTutorAttributeTradeOffs)
# Adapt your working directory to an existing folder
setwd("C:/insertdirectoryHERE")
# Adapt your user name
run.ps(user.name="Jon Doe", package="RTutorAttributeTradeOffs",
load.sav=TRUE, sample.solution=FALSE)
If everything works fine, a browser window should open, in which you can start exploring the problem set.