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Data Analysis in R

This four-part workshop series will provide an introduction to data analysis and data visualization in R and R Studio. R is a popular free software program with many applications in both the humanities and sciences. RStudio is a set of integrated tools designed to help you be more productive with R.

  1. Introduction to R and RStudio
    • Do you want to learn about R but don’t know where to start? This workshop is for you! R is a popular free software program with many applications in both the humanities and sciences. RStudio is a set of integrated tools designed to help you be more productive with R. This introductory level workshop introduces participants to R concepts, packages, and basic syntax using the RStudio environment.
  2. Visualization with R
    • This workshop will introduce concepts and tools for visualizing data in R, with emphasis on the ggplot2 package. Participants are expected to be familiar with R and the RStudio environmnet (if you are new to R, consider attending Introduction to R and RStudio first).
  3. R for Statistical Analysis
    • Many state-of-the-art models and various graphs are available in R. This workshop covers data preparation and management, descriptive statistics, and common statistical analysis (T-test, ANOVA, correlation, regression). This workshop is for participants who already have a basic understanding of R.
  4. Web Apps with Shiny
    • This workshop will provide an introduction to developing interactive visualizations and dashboards using Shiny - a package for making web applications in R. This workshop is for participants who already have a basic understanding of visualization in R (consider attending Visualization with R workshop first).

Pre-workshop setup

To participate fully you will need to install the latest versions of R and RStudio on your computer ahead of time.

Download and install R

Windows

  1. Visit R Project to learn about R versions
  2. Download and install R from your preferred CRAN mirror here
  3. Choose “0-Cloud” or a mirror site near you

Mac

  1. Check that your macOS system is up-to-date
  2. Download and install R from The Comprehensive R Archive Network

Download and install R studio (Windows and Mac)

Download and install R Studio from here