Category: R statistical package

Using Text Analysis to Become a Better WriterWe all have words we love to use, and that we perhaps use too much. As an example: I have a tendency to...continue reading.

Topics and Categories in the Russian Troll Tweets I decided to return to the analysis I conducted for the IRA tweets dataset. (You can read up on that analysis and...continue reading.

IRA Tweet Data You may have heard that two researchers at Clemson University analyzed almost 3 millions tweets from the Internet Research Agency (IRA) – a “Russian troll factory”. In...continue reading.

Highlighting Specific Cases in ggplot2Here’s my belated Statistics Sunday post, using a cool technique I just learned about: gghighlight. This R package works with ggplot2 to highlight a subset of...continue reading.

Using Text Mining on Open Ended ItemsGood survey design is both art and science. You have to think about how people will read and process your questions, and what sorts...continue reading.

Statistics Sunday: Term Frequency and Inverse Document Frequency As a mixed methods researcher, I love working with qualitative data, but I also love the idea of using quantitative methods to...continue reading.

As promised, how to conduct mixed effects meta-analysis in R:Code used in the video is available here. And I’d recommend the following posts to provide background for this video:What is...continue reading.

Converting Between Effect Sizes I’m currently working on my promised video on mixed effects meta-analysis, and was planning on covering this particular topic in that video – converting between effect...continue reading.

How to Read in and Clean Your Facebook Data – I recently learned that you can download all of your Facebook data, so I decided to check it out and...continue reading.

Cloudy with a Chance of Words Lots of fun projects in the works, so today’s post will be short – a demonstration on how to create wordclouds, both with and...continue reading.