Author: R Views

If you haven’t explored the RStudio website in a while, your next visit may include a pleasant surprise. I recently went to the Tidymodels page, just to see what was...continue reading.

We are in the middle of a mind-boggling natural experiment here in the United States. In spite of the advice from the CDC and dire warnings from our nation’s health...continue reading.

One hundred fifty-six new packages made it to CRAN in October. Here are my “Top 40” selections in eight categories: Computational Methods, Data, Epidemiology, Mathematics, Machine Learning, Statistics, Utilities, and...continue reading.

This week, the Bay Area useR Group (BARUG) held a mini-conference focused on ROC Curves. Talks discussed the history of the ROC, extending ROC analysis to multiclass problems, various ways...continue reading.

In two recent posts, one on the Disease Progression Model and the other on Fake Data, I highlighted some of R’s tools for simulating data that exhibit desired correlations and...continue reading.

Two hundred thirty-six new packages made it to CRAN in September. Here are my “Top 40” picks in eleven categories: Computational Methods, Data, Finance, Genomics, Machine Learning, Mathematics, Medicine, Statistics,...continue reading.

The Delphi epidemiological forecasting group at Carnegie Mellon University is undertaking a massive effort to develop leading indicators for COVID-19 outbreaks, and if you are an R or Python developer...continue reading.

In a previous post, I showed some examples of simulating fake data from a few packages that are useful for common simulation tasks and indicated that I would be following...continue reading.

In this final post of the six part series on R package integration with modern reusable C++ Code using Rcpp, we will look at providing documentation for an R package....continue reading.

One hundred forty-six new packages stuck to CRAN in August. Below, are my “Top 40” picks in eleven categories: Computational Methods, Data, Genomics, Insurance, Machine Learning, Mathematics, Medicine, Statistics, Time...continue reading.

The third annual R / Medicine Conference was held online this year from August 27th to August 29th and was an unqualified success. The last minute pivot from small, in-person...continue reading.

Simulation is the foundation of computational statistics and a fundamental organizing principle of the R language. For example, few complex tasks are more compactly expressed in any programming language than...continue reading.

Jay Ulfelder, PhD, serves as Program Manager for the Nonviolent Action Lab, part of the Carr Center for Human Rights Policy at the Harvard Kennedy School. He has used R...continue reading.

One hundred sixty-one new packages made it to CRAN in July. Here are my “Top 40” picks in seven categories: Computational Methods, Data, Genomics, Machine Learning, Science, Statistics, and Utilities....continue reading.

Daniel Hanson is a full-time lecturer in the Computational Finance & Risk Management program within the Department of Applied Mathematics at the University of Washington. In the previous post, we...continue reading.

Daniel Hanson is a full-time lecturer in the Computational Finance & Risk Management program within the Department of Applied Mathematics at the University of Washington. In the previous post in...continue reading.

If you are looking for a place to monitor expert forecasts for United States weekly and cumulative COVID-19 deaths, you can’t do any better than the Reich Lab (University of...continue reading.

Isabella C. Velásquez, MS, is a data analyst committed to nonprofit work with the aim of reducing racial and socioeconomic inequities. “It is like a party all the time; nobody...continue reading.

Daniel Hanson is a full-time lecturer in the Computational Finance & Risk Management program within the Department of Applied Mathematics at the University of Washington. In the previous post in...continue reading.

Two hundred ninety new packages made it to CRAN in June. Here are my “Top 40” picks in ten categories: Computational Methods, Data, Genomes, Machine Learning, Medicine, Science, Statistics, Time...continue reading.