Introduction

Welcome to the first coding warmup! The general philosophy of these assignments is as follows:

• they are not graded and are optional
• you should look at each problem and make sure that you either know how to solve the problem or to figure it out (e.g. google)
• these primarily focus on general programming concepts and writing good code instead of specific ML/AI ones
• each assignment will be updated with example solutions before class and we will review as a class

Part 1

Install R and RStudio using this guide.

Part 2

Review Section B R Packages

For this class we will require numerous packages and metapackages (e.g. tidyverse). For the first week, we just need tidyverse so make sure you have that installed.

Part 3

Read Workflow: projects.

Based on this, create a centralized location for your work for this class. I would recommend that you create a new R Project in an empty folder for this. This allows us to avoid having to worry about working directories and relative paths since we will always have the same flow.

myname_pa470
|   myname_pa470.Rproj
|
└---week 1
|   |   week1.R
|   |   week1.Rmd
|
└---data
|   |   mydata.csv

In this example, our R project is established in the folder myname_pa470 which then also sets our working directory in this folder. If we are working in the script week1.R which is in the folder week 1 (week 1/week1.R) and want to read in mydata.csv, the path would be data/mydata.csv in our script. Simpler right~!