DATIC: Introduction to R Workshop

Workshop location: Gentry 140, 9:00am - 5:00pm.
Textbook: R for Data Science
Teaching Assistant: Starry Zhou

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Schedule

Day 1: Introduction to R

• Morning Session 9-12
  • Intro to the RStudio environment, and RMarkdown
  • Intro to packages and descriptive statistics
  • Making Figures with ggplot2
    
• Lunch 12:00 PM to 1:15 PM
• Afternoon Session 1:15-3:30
  • Data Manipulation and descriptive statistics with dplyr
    
  • Correlations, Reliability Test, and Scale Scores
• Homework
  • Download and install miktex
    
• Basic Intro Stats Labs
  • dplyr lab
  • ggplot lab
  • T-tests

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Day 2: Data Analysis in R

• Morning Session 9-12
  • Data Restructuring with tidyr
  • ANOVA, Regression, and Logistic regression
  • Preparing APA style manuscripts in R Markdown with papaja
  • Downloading data from Qualtrics into R
• Lunch 12:00 PM to 1:15 PM
  
• Afternoon Session 1:15-3:30
  • Exploratory Factor Analysis (EFA)
  • Confirmatory Factor Analysis (CFA) and SEM with laavan
• Experimental Design Labs and other resources
  • Multiple Regression
  • Two-way ANOVA
  • Repeated Measures, Latin Square, and Mixed ANOVA
  • Factor Analysis with psych
  • lavaan tutorials

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Cheatsheets, R Tutorials, and Books

• dplyr cheatsheet
• ggplot2 cheatsheet
• RMarkdown cheatsheet
  • Advanced RMarkdown