Introductory R Workshops for Social Scientists organized by RSSIG

This series of 8 weekly workshops offers an introduction to the R programming language for data analysis in the social sciences. The sessions will cover a number of essential tools and facilities available in R for typical tasks in social data analysis, including data import and management; descriptive statistics and graphics; linear and generalized linear models; multilevel, spatial and network data. These are hands-on workshops in which participants will run R code on real-world data and will do coding exercises on their own laptops.

All sessions will be held at the UF Informatics Institute (Room E251). Participants are free to attend all or just some of the workshops. However, knowledge of the topics covered in Sessions #1-4 is necessary and assumed for participants in Sessions #5-8. The workshops are open to all UF students, faculty and staff, but they are limited to 30 attendees.

This workshop series is organized by the UF R Social Sciences Interest Group (RSSIG) in collaboration with the UF Department of Sociology and Criminology & Law, the Informatics Institute, and the Florida Society of the Social Sciences (F3S).

Registration

https://informatics.institute.ufl.edu/event/introduction-to-r-for-the-social-sciences-weekly-workshops-fall-2018/

 

Instructors

  • Raffaele Vacca, PhD, Department of Sociology and Criminology & Law
  • Till Krenz, MA, Bureau of Economic and Business Research
  • Thomas Smith, MS, Department of Sociology and Criminology & Law

 

Dates and location

From 10/18/2018 to 12/13/2018, 4-6pm, UF Informatics Institute (room E251).

 

Instructions for participants

  • Bring your own laptop
  • Install RStudio in your laptop (click here to download RStudio)
  • Register to the RSSIG Canvas group here to access the workshop materials
  • Download the workshop materials to your laptop (from the Modules section of the RSSIG Canvas group) and bring them to the workshop

Please note that there is a cap of 30 participants for each session. The cap is typically reached in a few days, and there will be a waiting list of people who are waiting for workshop seats to free up. Your registration for a given session is a commitment to participate in that session. If you realize you can’t make it, please let us know as soon as possible by contacting Thomas Smith, so we can free seats up for people in the waiting list.

 

Schedule

  1. Introduction to R
    Thursday 10/18, 4-6pm, Informatics Institute (Room E251)
    Instructor: Raffaele Vacca
    Topics: R objects; vectors and matrices; arithmetic and logical operations; indexing; data frames and lists; R functions.
  2. Data management
    Thursday 10/25, 4-6pm, Informatics Institute (Room E251)
    Instructor: Till Krenz
    Topics: Importing data; subsetting; ordering cases and variables; transforming and recoding; merging and appending data frames; tidyverse and the dplyr package.
  3. Descriptive statistics and graphics
    Thursday 11/1, 4-6pm, Informatics Institute (Room E251)
    Instructor: Thomas Smith
    Topics: Frequency tables; crosstabs; the mean, sd, and other descriptive functions; packages for descriptive statistics (Hmisc, pastecs, psych, summarytools); descriptive statistics for data subsets; basic graph functions; the ggplot2 package.
  4. Linear models
    Thursday 11/8, 4-6pm, Informatics Institute (Room E251)
    Instructor: Thomas Smith
    Topics: Bivariate and multivariate linear models; visualizing regression lines; regression diagnostics; post-estimation functions.
  5. Generalized Linear Models
    Thursday 11/15, 4-6pm, Informatics Institute (Room E251)
    Instructor: Till Krenz
    Topics: Specifying the link function; goodness of fit; updating models; model selection; computing and plotting predicted probabilities.
  6. Multilevel analysis
    Thursday 11/29, 4-6pm, Informatics Institute (Room E251)
    Instructor: Raffaele Vacca
    Topics: Multilevel data structures; Hierarchical Linear Models; random intercepts and random slopes; contextual effects and interactions; result visualization.
  7. Social network analysis
    Thursday 12/6, 4-6pm, Informatics Institute (Room E251)
    Instructor: Raffaele Vacca
    Topics: Introduction to igraph and statnet; importing and visualizing network data; vertex and edge attributes; indexing vertices and edges; centrality, cohesion, and subgroups.
  8. Spatial analysis
    Thursday 12/13, 4-6pm, Informatics Institute (Room E251)
    Instructor: Till Krenz
    Topics: Importing shapefiles; manipulating spatial objects; global and local tests for spatial autocorrelation; spatial regression analysis.