Challenge 3: R Strikes Back

• Assigned: September 6, 2019
• Due: at 6pm on September 20, 2019

Assignment

You should have received an email invitation to access this assigment in Github Classroom. If you haven't received it, please post an Issue

The goal of this challenge is to help you get more familiar with the material covered in the following lessons from SWC: R for Reproducible Scientific Analysis

• Control Flow
• Creating Publication-Quality Graphics
• Vectorization
• Functions Explained

You will need to:

1. Initialize a new project in RStudio based on this repository (you might want to review the relevant instructions from Challenge 1)

2. Fill the blank R code chunks in challenge3_assignment.Rmd

3. Modify the header of challenge3_assignment.Rmd (you might want to review the relevant instructions from Challenge 1

4. Submit the Assignment (you might want to review the relevant instructions from Challenge 1 ). You should submit the following:

• challenge3_assignment.Rmd : your modified version of the R Notebook that you received in your repo
• challenge3_assignment.html : the output from knitting your revised challenge3_assignment.Rmd
• challenge3_functions.R : your function definition file.

5. Optional (but strongly recommended): frequently commit changes and push to GitHub.

We strongly recommend that you start working on this immediately so you will have time to get any help that you need. If you have questions about this assignment outside of class, please post an Issue to the discussion forum.

Grading

For this assignment and future assignments we will be checking for:

Weight (%)	Component
70	Correct Result
15	Code Quality
10	Git Commit Message Quality
5	SessionInfo

Git Commit Message Quality

• For some helpful hints search the internet for "writing good commit messages"
• You may also want examples of what not to do

SessionInfo

Including a SessionInfo statement at the end of your R Notebook is good reproducibility practice.