At the University of Utah, I teach the R lab that accompanies MATH 3070, “Applied Statistics I.”” None of my students are presumed to have any programming experience, and they never hesitate to remind me of that fact, especially when they are starting out. When I create assignments and pick problems, I often can write a one- or three-line solution in thirty seconds that students will sometimes spend four hours trying to solve. They then see my solution and slap their foreheads at its simplicity. I can be tricky with my solutions. For example, suppose you wish to find the sample proportion for a certain property. A common approach (or at least the one used in the textbook our course uses, Using R for Introductory Statistics by John Verzani) looks like this:
This is the third and final blog post in my series on income inequality (read the other two here and here). This post discusses the detachment of compensation from productivity that occurred around 1973. I look at the data and use R for exploring this break, along with why it may have occurred. R code is with the analysis, in the spirit of reproducible research.