Welcome to R in 3 Months

Agenda

1. Welcome

2. Logistics

3. Weekly Plan

4. Questions on Getting Started with R

5. Next Week

http://rin3spring2025.rfortherestofus.com/slides/slides-week-01.html

Survey

If you haven’t yet completed the pre-survey, please do so now.

Welcome

Introductions

David Keyes

Gracielle Higino

Who Are You?

Update your name at https://rfortherestofus.com/account/profile

Where Are You From?

How much have you used R?

How would you rate your level of expertise working with R for DATA ANALYSIS?

How would you rate your level of expertise working with R for DATA VISUALIZATION?

On a scale from terrified to excited, how do you feel about the process of learning R?

Breakout Rooms

Share with the people in your breakout room:

• Name

• Location

• A bit about your work

• Organization (if applicable)

• Where you hope to be in 3 months

How R in 3 Months Works

Training Overview

Course Materials

• Try not to get more than 2 weeks behind
• Transcripts within videos
• Course questions

Course Questions

Project Assignments

Feedback

Forum

• Lesson-specific questions on lessons
• General questions in forum
• You should always feel free to email David and Gracielle with any questions

Weekly Overview

Thursday

• Live session from 10-11am Pacific time
• Live session video posted
• Follow-up email sent out
• Start working on course assignment

Live sessions: - Answer questions - Live coding - Group exercises - And more!

Monday

• Reminder email sent out

Tuesday

• Co-working session with Gracielle from 10-11am Pacific time

Wednesday

• Complete course and project assignments (ideally)

Coaching

• Gracielle will be your coach, giving you personal guidance on anything you may have questions about

• You can schedule 1-on-1 calls with her if you have specific questions:

  • Gracielle’s scheduling link

Project Datasets

• This is an opportunity for you to practice working with your own data

• However, sometimes people’s own data can be quite complicated and not suitable for the beginning part of R in 3 Months

• We have collected datasets better suited to where people just starting out are

Project Datasets

• If you need help to remove personally identifiable information, please let Gracielle know!

• Please check in with Gracielle via email about your data to make sure what you’re working with will serve you well

Paste email on chat if needed: gracielle@rfortherestofus.com

How to Organize Your Files in R in 3 Months

The learner directory template

Getting Started Questions

• Tidyverse loading message
• Whether packages are loaded vs installed (packages tab)
• read.csv vs read_csv
• Can you set up R to automatically load packages you always use?

Next Week

Course Assignment

• You’ll learn the fundamentals of data wrangling and analysis with the dplyr package

Project Assignment

• Ask and answer three questions about your data

A Final Message to Leave You With