RTutor: Water Pollution and Cancer

December 4, 2017
By

(This article was first published on Economics and R - R posts, and kindly contributed to R-bloggers)

One very important benefit of stronger environmental protection is to reduce the damaging effects of pollution on human health.

In his very interesting article “The Consequences of Industrialization: Evidence from Water Pollution and Digestive Cancers in China” (Review of Economics and Statistics, 2012) Avraham Ebenstein studies the impact of water pollution on the rate of digestive cancers for several Chinese river systems. He convincingly argues that there is a causal effect of substantial size and a cost-benefit analysis shows how stricter environmental regulations would allow to statistically save a human life at relatively low cost.

As part of her Master Thesis at Ulm University, Brigitte Peter has generated a very nice RTutor problem set that allows you to replicate the main insights of the article in an interactive fashion. You learn about R, econometrics and the identification of causal effects from field data, as well as the relationship between water pollution and digestive cancer.


Like in previous RTutor problem sets, you can enter free R code in a web based shiny app. The code will be automatically checked and you can get hints how to proceed. In addition you are challenged by many multiple choice quizzes.

To install the problem set the problem set locally, first install RTutor as explained here:

https://github.com/skranz/RTutor

and then install the problem set package:

https://github.com/brigittepeter/RTutorWaterPollutionChina

There is also an online version hosted by shinyapps.io that allows you explore the problem set without any local installation. (The online version is capped at 25 hours total usage time per month. So it may be greyed out when you click at it.)

https://brigittepeter.shinyapps.io/RTutorWaterPollutionChina/

If you want to learn more about RTutor, to try out other problem sets, or to create a problem set yourself, take a look at the RTutor Github page

https://github.com/skranz/RTutor

You can also install RTutor as a docker container:
https://hub.docker.com/r/skranz/rtutor/

To leave a comment for the author, please follow the link and comment on their blog: Economics and R - R posts.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...



If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.

Search R-bloggers

Sponsors

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)