Welcome to the new year! If you’re itching to improve your R skills in 2022, we have the resource for you. We’re excited to share the Big Book of R. “Your last-ever bookmark”, the Big Book of R is an impressive collection of R-related books from a variety of ...

We are happy to announce that mlr3spatial has been released on CRAN in November 2021. mlr3spatial simplifies the handling of spatial objects in the mlr3 ecosystem. Before mlr3spatial, the user had to extract tabular data from spatial objects to tra...

Over the past couple of years, I have been working with an amazing group of investigators as part of the CONTAIN trial to study whether COVID-19 convalescent plasma (CCP) can improve the clinical status of patients hospitalized with COVID-19 and requiring noninvasive supplemental oxygen. This was a multi-site study in ...

The below earlier LinkedIn post of well-defined nonlinear Stealth Support indicated price evolution for natural gas (UNG) was highly likely on an unsustainable trajectory. Within a month of the post, the market breached its well-defined Stealth Support Curve.  In the 3 months that followed, this market lost 42% of its value.  The ...

[Author: Madan G. Kundu] In practice, survival times may be influenced by a combination of baseline variables. Survival trees (i.e., trees with survival data) offer a relatively flexible approach to understanding the effects of covariates, including their interaction, on survival times when the functional form of the association is ...

This post explains how to perform the F-test of joint parameter restrictions on a linear regression model. As an example, we use the data in Chen and Tsang (2013), who introduce so called relative Nelson-Siegel factor model to predict exchange r...

Here I illustrate how to train a CNN with Keras in R to predict from patients' CT scans those who will develop severe illness from Covid. Motivation Michael Blum tweeted about the STOIC2021 - COVID-19 AI challenge. The main goal of this challenge is to...

Shiny apps are R’s answer to building interface-driven applications that help expose important data, metrics, algorithms, and more with end-users. However, the more interesting work that your Shiny app allows users to do, the more likely users ar...

One of the first steps to learning R is to have it downloaded and installed on your computer. In this post I’ll show you how to do that and how to download and install RStudio—a key tool for using R, and how I do all my work and ...