Lab 00

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# Lab 00
## Logistics
### 01.10.19

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## Meet Your TA!

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## Introduce Yourself!

- Name

- Major or intended major

- Hobby / something you enjoy doing outside of school and work

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## Today's Agenda

1. What to expect in lab

2. Questions about course policies

3. Getting to know you survey

4. Pretest

5. GitHub / RStudio Cloud

6. R tutorials (optional)

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## What to expect in lab

- Introduction to the lab assignment (~ 10 minutes)

- Work on the lab assignment (generally done in teams)

- All assignments will be completed using RStudio and submitted on GitHub (more on this next week)

- Today's lab will focus on some logistics to help prepare for the semester

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## Any questions about course policies?

Course website: [http://bit.ly/sta210-sp19](http://bit.ly/sta210-sp19)

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## Getting to know you survey

1. Go to the course page on [sakai.duke.edu](https://sakai.duke.edu/).

2. Find the Getting to know you survey under *Tests & Quizzes*

3. Complete the entire survey. Brief answers are OK. 
<br><br>

Some of the information from this survey will be used to help with the formation of teams.

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## Pretest

- Go to [http://bit.ly/sta210-sp19-pretest](http://bit.ly/sta210-sp19-pretest)

- Access Code: VVG3595CKB

- Course: STA 210

- Section: 1

Do your best! Don't worry if you don't know the answers to the questions or are unsure. This information will only be used to assess the statistical background of students in the class and to help with the formation of teams.

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## GitHub & RStudio Cloud

- If you do not have a GitHub account, go to [https://github.com/](https://github.com/) and create one. 
    - See [Happy Git with R](https://happygitwithr.com/github-acct.html#username-advice) for tips for selecting a username.
    
- If you had trouble joining RStudio Cloud or copying and completing the UN Votes analysis in class yesterday, try it again. Please ask your TA for help.
    - Join RStudio Cloud: [http://bit.ly/sta210-sp19-rstudio](http://bit.ly/sta210-sp19-rstudio)

- If you were able to join RStudio Cloud and run the analysis, be sure to update your profile, so your name properly displays. Then you are free to leave.

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## R tutorial (optional)

In this course, we will do all computing using R `tidyverse` syntax. If you are new to R and/or the `tidyverse` syntax, you should complete the interactive tutorial to get some practice with R before next week's lab. *This tutorial will not be graded.*

- [RStudio Cloud Primer: Work with Data](https://rstudio.cloud/learn/primers/2)