DUPRI has also developed trainings and resources on the statistical programming language R. These trainings encourage Stata and SAS users to transition to R for their data analysis and computation. R’s benefits in terms of collaboration, big data analysis and cloud computing make it well-suited to the future of demographic and social science research.
DUPRI offers R-specific training courses:
An Introduction to R is suited for Stata and SAS users and it provides an overview of R’s syntax and benefits. It explores data types, data manipulation, regression, graphics and programming. The training includes hands-on examples and exercises with real-world data.
Generalized Linear Models in R, covers the basics of running GLMs in R, including specification and syntax, interpretation and displaying of results, and model checking. The training examines binary, count, and categorical models.
Multilevel Modeling in R, covers the basics of running multilevel models in R, including specification and syntax, interpretation and displaying of results, and model checking and comparison.
Working with SQL Databases in R introduces a practical workflow for retrieving well-defined subsets of a large relational database from R. You will inspect a database, write selective SQL, join tables at the correct level of analysis, bring results into R, and document a query someone else can reproduce.
Collecting Web-Based Data Using R covers making HTTP requests, web scraping, working with structured or scraped web data, interacting with APIs and obtaining open data.
Text Analysis Using R explores data import and formatting, cleaning and prepping documents, data visualization, exploratory analysis, basic network analysis and topic modeling.
For all of these trainings, R scripts, code, data, reports and presentations are available for download. Materials have been created from the ground up, to ensure the inclusion of the newest techniques in R.