LatinR

Materials for workshop during LatinR 2023

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Project maintained by dicook Hosted on GitHub Pages — Theme by mattgraham

LatinR: Creating data plots for effective decision-making using statistical inference with R

Instructor: Professor Di Cook, Department of Econometrics and Business Statistics, Monash University

Website: https://dicook.github.io/LatinR

Structure of tutorial

• Review of making effective plots using ggplot2’s grammar of graphics:
  • Organising your data to enable mapping variables to graphical elements,
  • Common plot descriptions as scripts,
  • Do’s and don’ts following cognitive perception principles.
• Making decisions and inferential statements based on data plots
  • What is your plot testing? Determining the hypothesis based on the type of plot.
  • Creating null samples to build lineups for comparison and testing.
  • Conducting a lineup test using your friends to determine whether what you see is real or spurious, and to determine the best design for your plot.

Background: Participants should have a good working knowledge of R, and tidy verse, and some experience with ggplot2. Familiarity with the material in R4DS (https://r4ds.hadley.nz) is helpful.

Course Schedule

time	topic
1:40-1:55	Why, philosophy and benefits
1:55-2:15	Organising data to map variables to plots
2:15-2:45	Making a variety of plots
2:45-3:10	Do but don’t, and cognitive principles
3:10-3:40	COFFEE BREAK
3:40-4:00	What is your plot testing?
4:00-4:15	Creating null samples
4:15-4:45	Conducting a lineup test
4:45-5:00	Testing for best plot design

Session 1 Slides

Session 2 Slides

Zip file of materials

Getting started

1. You should have a reasonably up to date version of R and R Studio, eg RStudio RStudio 2023.06.2 +561 and R version 4.3.1 (2023-06-16).

   install.packages(c("ggplot2", "tidyr", "dplyr", "readr", "nullabor", "colorspace", "palmerpenguins", "broom"))
   

2. Download the Zip file of materials to your laptop, and unzip it.

3. Open your RStudio be clicking on tutorial.Rproj.

There might be a few more packages ot install to run various parts.

GitHub repo with all materials is https://github.com/dicook/LatinR.