Applied Time Series Analysis

Homework

Always due by 12:00pm (noon) on Thursdays, submitted online via Blackboard as a .pdf.
Problems that require use of R must be written up using R Markdown.
- You can find some example R Markdown syntax in the .md files for the slides I show in class in my GitHub repository for the slides. Although these are slides, the main points regarding formatting and use of R chunks are the same for all R Markdown generated documents.
- You can make a .pdf file by either compiling an .Rmd file directly to .pdf (this may require that you have additional software installed on your computer) or by compiling an .Rmd file to .html, opening it in your browser, and then saving it as a .pdf.
Raw R output alone will not be accepted as a solution.
Figures and tables must be clearly and fully annotated.

We will use R extensively. Here are some recommended resources if are either entirely or somewhat new to to R:
- swirl is a very unique resource that teaches you how to use R from within R. I recommend the ``R Programming’’ course, it’s surprisingly fun even if you know most or all of the concepts already!
- The folks at RStudio have made a nice cheatsheet that summarizes various essential features of R.
- CRAN has a very comprehensive reference card.
- The course page for Introduction to R for Social Scientists, a course on R taught at the University of Washington a few years ago.
- The book Advanced R by Hadley Wickham gives a very detailed look at R’s data structures, e.g. matrices, arrays, and data frames.
You will also learn a lot by comparing your homework solutions to the ones I provide, although keep in mind that the way I code up solutions to the homework problems is rarely the only way someone could code them up!