BRL-workshops

Materials for BRL workshops

Workshop 1: Visual Techniques for Exploratory Data Analysis in R (with ggplot2)

When: Tuesday, April 2, 2019, 5:30 - 8:00pm

Where: Warren 309

• Introduction to the grammar of graphics

• Single and multi-dimensional continuous data

• Single and multi-dimensional categorical data

• Combining continuous and categorical data with faceting

• Introduction to tidying data (to be continued in second workshop)

Workshop 2: Data Transformation Techniques in R (with dplyr and tidyr)

When: Tuesday, April 11, 2019, 5:30 - 8:00pm

Where: Warren 415

• Introduction to the tidyverse philosophy, comparison to base R

• The "main five" dplyr verbs: filter, select, arrange, group_by, summarize

• Piping in R

• Tidying data with tidyr

• Merging datasets with join functions

Pre-Workshop Assignment

Before your first workshop, please do the following:

1. Install R from https://cran.r-project.org/

2. Install RStudio Desktop (open source / free version) from https://www.rstudio.com/products/rstudio/download/#download

3. Install tidyverse packages with:

> install.packages("tidyverse")

I will do my best to accommodate different skill levels, however I will assume a general familiarity of base R. If you haven't used R at all previously, I recommend the "R Nuts and Bolts" chapter of Roger Peng's R Programming for Data Science. If you are limited in time, the most important topics to learn / review are: character vs. factor data, and working with data frames. Again, matrices and lists won't come up.

If you're new to ggplot2, please read "Data Visualization" in R for Data Science by Garrett Grolemund and Hadley Wickham to gain a general familiarity with ggplot2 functions.