Topic Schedule

We welcome individuals of all skill levels. Whether you regularly use R or are brand new to the language and writing code, please join us during any week! If you are a new use-R, we will help you to get set up and learning, regardless of our topic for the week.

Upcoming Dates

  • June 29th
    Demo: Mixed-effects models
    Steve Brooks
  • July 6
    Demo: Principle Components and K-Means Analyses in R
    Kat Placek
  • July 13, 2017
    TBD
  • July 20, 2017
    TBD
  • July 27
    Demo: OpenRefine (compared with R)
    Carly Sewell

Other dates’ topics coming soon. If a topic is not listed for a given week, we default to talking through small-scale training-project questions.
If you would like to suggest a topic, please find us on our Slack channel (you’ll need to create an account with your U. Penn email address).

Past Dates

  • June 22, 2017
    Consult: What to know about plots in R before starting plotting (saving, display devices, resolution, file formats)
    Naomi Nevler
  • June 15, 2017
    Demo: Propensity score models
    Patricia Posey
  • June 8, 2017
    Demo: R Syntax: An introduction to if/else statements loops, and apply statements
    Jacob Levernier
    Output: (None)
  • June 2, 2017
    Demo, Tutorial: Regular expressions in R
    Jacob Levernier
    Output: (None)
  • May 25, 2017
    (Note date and time change)
    Demo: Further introduction to R; Resources; What is scripting?; RMarkdown revisited
    Jacob Levernier
    Output: (None)
  • May 17, 2017
    Demo: Introduction to R, Reading regression output
    Jacob Levernier
    Output: (None)
  • May 10, 2017
    Demo, Hackathon: An introduction to Markdown and RMarkdown; Writing APA-style manuscripts using the papaja package
    Jacob Levernier
    Output: (None)
  • May 3, 2017
    Show-and-Tell: Using R in Political Science research
    Patricia Posey
    Description: Patricia’s dissertation examines how financial services such as pawnshops, check-cashings, auto title loans, and payday loans (collectively known as the “fringe economy”) influence the political engagement and political attitudes of racial and ethnic minorities.
    Output: (None)
  • April 26, 2017
    Hackathon: Reshaping data
    Output: Blog post
  • April 19, 2017
    Demo: Descriptive statistics in R
    Steve Brooks
    Output: Blog post
  • April 12, 2017
    Demo: An introduction to ggplot2
    Jacob Levernier
    Resources: Midwest dataset from ggplot2
    Output: Blog post

Not Yet Scheduled

  • Setting up global R profile configurations
  • Getting started with R — what is this thing?
  • Network mapping with visnetwork
  • Geo-mapping with leaflet.js
  • Linear mixed effects models
  • Nested models
  • Basic stats analyses:
    • t-test
    • Mann-Whitney U
    • Chi-square
    • AN(C)OVA
  • Spatial Econometrics (analyzing geocoded data) using R
  • Shiny
  • Using Tesla (UPenn’s computing cluster)