This INTENSIVE offers an introduction to a range of Text Analysis approaches, including dictionary methods, classification and machine learning, TF-IDF, clustering, and topic modeling.
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This workshop will illustrate a variety of text analysis techniques using a database of New York Times articles. Familiarity with R will be helpful.
This workshop will introduce methods and libraries for mapping spatial data in R.
This class will cover the the basics of simulations in R. We will begin by going through simple examples.
Linear modeling is the one of the most flexible methods available in inferential statistics, but this flexibility comes at a learning cost.
Come learn how to turn your data into powerful webmaps using R, Shiny and Leaflet. Shiny is a web application framework for R that lets you turn your analyses into online, interactive tools.
This session is the third of a three part series on regression discontinuity designs. We will discuss common problems that arise in applied RD and how they can be overcome.
This session is the second of a three part series on regression discontinuity designs. We will discuss smoothers, bandwidth selection, confidence intervals, and covariate adjustment.
This session is the first of a three part series on regression discontinuity designs. We will cover a number of real-world examples and discuss different ways of analyzing them.
An intro to the basics that instructors often assume you know, but that you probably never had good instruction on!