R for Beginners

1. R and RStudio Installation
2. More about RStudio - interface, projects, working directory
3. R package installation
4. Objects, functions, and comments
5. Vectors and data types
6. Missing data

Installation for PC

1. Download R from https://cran.r-project.org/bin/windows/base/
2. Download RStudio at https://www.rstudio.com/products/rstudio/download/#download

Installation for Mac

1. Check your version number and make sure to download the correct version of R/RStudio.

2. Download R from https://cran.r-project.org/bin/macosx/, and select the .pkg link based on your macOS version.

3. Download RStudio at https://www.rstudio.com/products/rstudio/download/#download

R & RStudio Installation Guidance

https://rpubs.com/Earlien/guide-to-installing-R

Course Materials

• Before we Start
• Introduction to R

Additional Resources

• How to update R, remove R packages (https://www.linkedin.com/pulse/3-methods-update-r-rstudio-windows-mac-woratana-ngarmtrakulchol)

• Reproducible environment: https://rviews.rstudio.com/2019/04/22/reproducible-environments/ - how to safely upgrade packages, etc.

• Setup version control on RStudio: https://support.rstudio.com/hc/en-us/articles/200532077-Version-Control-with-Git-and-SVN

Recording

• Recording of Workshop 1 (Fall, 2021)
• Recording of Workshop 1 (Spring, 2022) 

1. Data frames and tibbles
2. Factors
3. Dates

About the Dataset

The data used for this lesson are in the figshare repository at: https://figshare.com/articles/SAFI_Survey_Results/6262019

This lesson uses SAFI_clean.csv. The direct download link for this file is: https://ndownloader.figshare.com/files/11492171

Course Materials

• Starting with data

Extra Materials

• Factors

Recording

• Recording of Workshop 2 (Fall, 2021)

1. Data wrangling with dplyr
2. Reformat data with tidyr
3. Export data

Course Materials

• Data wrangling with dplyr & tidyr

Extra Materials

• RStudio cheatsheets
• Tidy data

1. About ggplot
2. Building your plots iteratively
3. Boxplots
4. Bar charts
5. Faceting

Course Materials

• Data visualization with the package ggplot2

Extra Materials

• RStudio cheatsheets
• R Graph Gallery

Recording

• Recording of Workshop 3 (Fall, 2021)