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R for Beginners

Using R for Data Wrangling, Analysis, and Visualization

Pre-survey & Workshop Evaluation

Please fill the pre-survey and evaluation to help us understand your expectations and thoughts about the workshops. 

Workshop Agenda

Thursday, January 20th, 2:00 - 4:00 PM

 

  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
Additional Resources
Recording

Thursday, January 27th, 2:00 - 4:00 PM

  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
Extra Materials
Recording

Thursday, February 3rd, 2:00 - 4:00 PM

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

 

Course Materials
Extra Materials

Thursday, February 10th, 2:00 - 4:00 PM

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

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