Activity 3 - R intro

It is assumed that you have read Chapter 4 of R4DS and completed Preparation 4 prior to completing this activity.

In this activity, you will:

  • Identify and correct common errors in R code.
  • Manipulate various types of data using Base R.

☑️ Task 1: The Workflow

Remember to take these steps slowly, help each other out, and get a hold of your instructor when you have questions or issues. These directions have been slightly modified from Activity 2 and I am hopeful that these are our typical workflow.

You may need your PAT that you created in Preparation 2. If you misplaced this token, you will need to create a new one, then follow the steps in Activity 2 to store your credentials in RStudio.

  1. In this GitHub repo, click on the fork Fork icon near the upper-right-hand corner. You should be taken a copy of this repo that is in your GitHub account - your page title should be {username}/activity03-r-intro, where {username} is replaced with your GitHub username.
  2. Click on the green Code button.
  • Verify that the drop-down identifies that you are using the HTTPS method (this is probably the default view; otherwise, select “HTTPS”).
  • Click on the clipboard icon to copy the repo HTTPS information.
  1. Log in to the RStudio Server.
  • Verify that you are in an RStudio session (it doesn’t matter if it is a previous Project session or a “vanilla” RStudio session).
  1. Create a new Project. You can do this by clicking on the new project icon or through the menus (File > New Project…).
  • In the New Project Wizard pop-up, select Version Control on the Create Project screen, then select Git on the Create Project from Version Control screen.
  • On the Clone Git Repository screen, paste the HTTPS information from (2) into the Repository URL dialog box. It should look like: https://github.com/<username>/activity03-r-intro.git
  • The Project directory name dialog box should automatically populate with your repository name, but sometimes Macs have an issue with this (if so, click into this box and press the command key command key on your keyboard). It should look something like: activity03-r-intro
  • In the Create project as subdirectory of dialog box, click on Browse.
  • In the Choose Directory pop-up, navigate to your class-level folder (i.e., you were encouraged to create a folder named either STA418 or STA518) You were also encouraged to create anactivities folder within your class-level folder to help organize our materials. Once you have navigated to the folder you wish this repo to be located, click Choose.
  • Verify that the Create project as a directory of dialog box contains the folder location that you previously specified, then click on Create Project.
  • You may be asked to login with your GitHub credentials on a Clone Repository pop-up window. Provide your GitHub username and PAT (not your GitHub password) if prompted.
  1. After a few seconds, your RStudio session will refresh and you should be in your newly created RStudio Project!

pause

Planned Pause Point: If you have any questions, contact your instructor or another group.

☑️ Task 2: Complete the RMarkdown File

The activity03-r-intro.Rmd file contains the directions for this activity. For the rest of this class period, you will complete the RMarkdown document with your neighbor(s). Your instructor will be circling and be available to help when needed.

Note that each person is working in their own repo. We are not worrying about collaborating for the time being and instead will be working on being more comfortable with the workflow for working between RStudio and GitHub.

However, do not continue in this README document until you and your neighbor(s) have completed your .Rmd files.

Happy sluething!

Urkel from Family Matters

☑️ Tasks 4: Reflection

Take 5 minutes to write a reflection on what you feel confident in and what you need to spend some time better understanding. What is one thing you can do to help clarify your current misunderstandings?

Next: We will be begin working with the {tidyverse} (a package of packages). Specifically, we will begin with functions from the {dplyr} package. Activity 4 will focus on isolating rows and columns of datasets.