Useful Resources for Learning R

The following are multiple R resources developed by Shu-Min and her student interns over recent years – aimed to help intro stats and intermediate statistics students to learn syntax-based R more easily.

SRACTH to R: SRACTH Introduction Project

• JSDSE paper: "SCRATCH to R: Toward an Inclusive Pedagogy in Teaching Coding In this article, we propose using SCRATCH to create an interactive and fun project for introduction – which we call “SCARCH Introduction Project” – as a gateway to learn R in introductory or intermediate statistics courses.
• My short presentation video for USCOTS 2021
• SCRATCH Introduction Project Guideline
• Get Started with SCRATCH document
• SCRATCH project tutorial video

R Tutorials for Introductory & Intermediate Statistics

• R Tutorial 1 : Introduction & Explanatory Data Analysis (EDA)
• R Tutorial 2 : Simple Linear Regression (SLR) & Data Wrangling
• R tutorial 3 Multiple Linear Regression (MLR)/ ANCOVA & More Data Wrangling
• R Tutorial 4: Additional Topics and Tools for MLR
• R Tutorial 5 : Analysis of Variance (ANOVA)

R Example Code for Introductory Statistics

• Modeling in R: EDA (Explanatory Data Analysis)
• Modeling in R: Inference (traditional normality-based methods)
• Modeling in R: Inference (simulation-based resampling methods)

R syntaxes: mosaic (formula type) vs. tidyverse/ggplot2

This will come soon…….