Text analysis using AI in R
Introduction Analyzing qualitative data is challenging. Such analyses are even more difficult when the topic is controversial and the results will drive important policy decisions. This post explores AI methods […]
Introduction Analyzing qualitative data is challenging. Such analyses are even more difficult when the topic is controversial and the results will drive important policy decisions. This post explores AI methods […]
In this post, I will show some methods of displaying mixed effect regression models and associated uncertainty using non-parametric bootstrapping. This is kind of a follow-up to my previous post […]
Every once in a while, I come across a plot form that is not in my ggplot repertoire. For example, I occasionally want to make a funnel plot in my […]
Last week, I attended a talk at our local Yale data science group by my friend Matteo in which he presented an overview of ggplot2. During the questions after the […]
I recently needed to learn text mining for a project at work. I generally learn more quickly with a real-world project. So, I turned to a topic I love: Wilderness, […]
The other day, I wanted to tweet out a map showing the distribution of some wood frog tissue samples compared to the entire range of the species. I’m not much […]
When I first started in communications, data viz was hard. You basically had to have a serious knowledge of Adobe Illustrator and Photoshop. At that time, “New Media” was just […]
Recently, I gave a presentation to a class of Yale Masters students about how to give better scientific presentations. This is a topic I think about a lot, coming from […]
Among other topics, my lab studies the relationship between forest obligate frogs and urbanization. During a seminar, I once heard my advisor mention that Connecticut is the perfect state […]
One of the funny conventions in ecology is the practice of naming a new statistical unit after a preeminent ecologist. For instance, in 1949 J.B.S. Haldane proposed a new unit […]