Please complete before the next class.

Make sure that you’ve completed all previous HW first.

I mention two misc. exercises below worth 1 point.. Once asked you to post a selfie with your textbook and calculator (due Jan. 23). The other asks you to post a screenshot of your first RStudio session (due Jan. 16, by 3pm). Remember that these are hard deadlines.

If you have one, please bring your laptop to class on Wednesday, Jan. 16, so we can do a little R.

## Models

Read and review your notes and my notes and my slides over models. Answer the review questions at the end. I created a discussion board for the final exercises on Canvas. If you submit a good answer and offer a concrete suggestion to answer response, then I’ll give you 1 point of extra credit. Answers are due by 3pm Wednesday.

## Textbook and Calculator

Once you have obtained the textbook and calculator (see the syllabus for the details), there is an assignment on Cavnas worth 1 point. It asks for a selfie with your textbook and calculator.

## R and RStudio

This semester, we will learn a bit of statistical computing. We will use R.

There are two options. You can either have a local installation or work in the cloud.

I recommend a local installation for those with a relatively modern computer with Windows or MacOS.

If you have an older computer, OS, or a non-standard machine like a ChromeBook, you can use an RStudio Cloud. This isn’t as powerful, but it works fine for our purposes.

### Option 2: RStudio Cloud

If for some reason, you can’t get RStudio set up locally, then you can use the cloud.

1. Go to https://rstudio.cloud and create an account by clicking “Sign Up.”
2. To start your RStudio session, click “New Project.” You should see an RStudio session similar to the screenshot above.
3. To stay organized, change the project title from “Untitled Project” to “Testing R”.
4. At the console prompt, enter commands like 2 + 2, 2*3, or 4/6 and press return/enter to run. You should see R print some predictable output.
5. Take a screenshot of your RStudio session (like the one above) and post it to the Canvas assignment for 1 point.

Carlisle Rainey