RforStat2

This repository contains notes to be read during short video presentations for students using R in a second course in statistics at SFU. The presentations were prepared by Jinko Graham and Brad McNeney, Department of Statistics and Actuarial Science, Simon Fraser University.

• Presentations are meant to be short and may go fast in places -- use the pause and replay on the video as necessary.
• When the topic of the presentation is a statistical method, it is assumed that the viewer has already studied the method and is looking for a demonstration of how to apply the method in R.

The order of presentations is:

0. Overview (this file)

1. Getting started

   • What is R?
   • Why use R?
   • Functions in R
   • Running R on Jupyter (optional)
   • Installing R on your computer (optional)
   • Installing RStudio on your computer (optional)

2. Reading data into R

   • Data sets as "objects" in R
   • read.csv()
   • read.table()
   • head(), print(), summary()
   • View() (optional)

3. Extending R and R packages

   • Writing your own functions
   • What are packages?
   • Installing packages (optional)
   • Loading packages
   • The "tidyverse"

4. Inference for means and proportions

   • Inference for means with t.test()
   • Inference for proportions with prop.test()