Due, in stat405 mailbox, Tuesday 30 Oct
The purpose of the project is to give you an opportunity to work on a larger analysis than what we’ve tackled in the homeworks, and for you to practice working in a group (each group will have three or four people). The main advantage to working in a group is that you can bounce ideas off one another, and hopefully uncover more interesting features of the data. The main problem, as most of you will discover, is co-ordinating time to meet together.
I expect the project to be approximately three times as much work as a normal homework. I think this is fair: you have three times as long, and you can share the work. Don’t mistake the effort you put in with the length of the final project - here are a couple of quotes to get you thinking:
“I have made this letter longer than usual, because I lack the time to make it short.” Blaise Pascal
“If I am to speak ten minutes, I need a week for preparation; if fifteen minutes, three days; if half an hour, two days; if an hour, I am ready now.” Woodrow Wilson
In this project, you will perform explore a collection of emails from the message machine project.
The three files are:
18 Oct. Hand in 2-3 page project description. Focus on the overall theme, and provide a few graphics to illustrate the path you are taking.
Tuesday 30 Oct. Hand in 10-15 page report organised as described below, plus an appendix containing your R code. Please also email me a copy of the report as a PDF.
Tuesday 30 Oct. Peer rating of team members.
The purpose of the introduction is to introduce the data set, provide some context, and guide me as to what to expect from the rest of the report. You may find it easiest to write the introduction last, after you write the rest of the report. It should be about a page in length.
On the first page (or cover page), please include the full names of all team members.
You should have approximately four or five main questions and associated findings, each which may be broken down further in more specific minor questions. Some of these questions will occur to you immediately upon looking at the data, and some will require considerable considerable exploration before they occur to you. To get to the four questions that you report on, I’d expect you to have had 20 or more questions. A lot of the time you will run into a dead end, or the answer to your question will turn out to be uninteresting or obvious. It is always disappointing not to report on something that you spend time working on, but it does make for a better report. You might want to briefly mention some of the dead ends you went down to demonstrate that you’ve done more than just the obvious.
Like your homeworks, I will assess the questions and findings based on the three criteria of curiosity, scepticism and organisation.
In all real data sets you will need to spend a lot of time cleaning up the data - fixing incorrect values, dealing with missing values etc. Don’t forget to give a brief description of what you did - that could count as one of your 4-5 questions/findings.
The conclusion should summarise your findings. Rather than just repeating what you’ve already said, try and weave your findings together into a consistent story. You should also reflect a little on other questions that the exploration raised, and what you would do next. Do you need to collect more data? Or collect data in a different way?
I’ll also mark the general presentation of the project. This is divided into three parts: text, tables and graphics. Graphs should follow the guidelines we have discussed in class - we haven’t discussed tables in class, but here are some good guidelines from North Carolina State. Also make sure to look at the
You are encouraged to explore more of the capabilities of latex to produce a unique and attractive document. The documentation for the memoir package is comprehensive and provides many ideas. It’s also huge, so don’t try and read the whole thing, just pick out bits that look interesting.
Last, but not least, your report should include an appendix which allows the reader to reproduce your findings. For this project, this would be an appendix containing the R code used to produce your graphics and perform an analysis. This appendix will be graded according to the code rubric.