R-bloggers

Just before Christmas I blogged about the positive correlation between depression incidence in US counties and their vote for Trump in the 2024 presidential election. In addition to my casual interest in the topic, I used it as a case study in multilev...

R functions for every data engineer using Tidyverse Tidyverse has long been an amazing collection of R packages, primarily for data engineering and data science. Common among these packages is the same language grammar, great design and structure, making data…Read more ›

Introduction A navigation mesh is a data structure used to aid in pathfinding around obstacles. Originally used for video games and robotics, we can also apply the concept of this navigational mesh to the movement of...

The Central Bank of the Republic of Turkey (CBRT) provides a wealth of economic data crucial for researchers, analysts, and policymakers. Through the Electronic Data Delivery System (EVDS ), users can access time-series data on various econ...

I wrote a post last year looking at how to employ tools in LangChain to have GPT-3.5 Turbo access information on the web, outside of its training data. The purpose of the present post is to revisit this post, improving the poor performance I saw there through refactoring and prompt ...

 Reposted from the original at https://blog.stephenturner.us/p/bluesky-analysis-claude-llama-tidyverse.Summary, translation, and sentiment analysis of Bluesky posts on a topic using atrrr, tidyverse/ellmer, and mlverse/mall with Claude and ot...

Introduction

Introduction In this comprehensive analysis, we’ll explore the critical investment questions generated by DoTadda’s Knowledge platform based on NVIDIA’s recent earnings calls. This analysis provides investment professionals with a structured fr...

With Christmas tomorrow we have decided to create an animated Christmas Tree using {ggplot2}, {sf} and {gganimate}. First we need a tree. To do this we have used an {sf} polygon where we pass in the coordinates of the Christmas tree as a list matrix to st_polygon. We can ...

If you are an R/RStudio user and you are learning C/C++ then this blog post may be interesting. Suppose that you've written a function in C/C++ (or even a whole program). You know how to run your code from the command line, passing in arguments and so ...

Introduction Data transformation is a fundamental technique in statistical analysis and data preprocessing. When working with R, understanding how to properly transform data can help meet statistical assumptions, normalize distributions, and im...

With multiple reports of influenza H5N1 cases that have no clear animal exposure, it is useful to consider what kinds of analysis would be required, and how easily this could be performed. As a starting point, this post reflects on some of the r...

Introduction Have you ever wanted to be able to quickly open a Data Science app, say RStudio Desktop or Positron in the current Finder window at the click of a button? We’ll see how to achieve this by creating Automator apps. Here’s a screenshot of...

A skeet floated across my Bluesky feed that looked at the cross-sectional relationship between incidence of depression in 2020 and voting for Trump in the 2024 Presidential election. The data in the skeet and immediate blog post was at state level, but...