R-bloggers

dtplyr dtplyr hex sticker Author(s): Hadley Wickham, Maximilian Girlich, Mark Fairbanks, Ryan Dickerson, Posit Software PBC Maintainer: Hadley Wickham ([email protected]) Provides a data.table backend for dplyr. The goal of dtplyr is to a...

nc nc hex sticker Maintainer: Toby Dylan Hocking ([email protected]) User-friendly functions for extracting a data table (row for each match, column for each group) from non-tabular text data using regular expressions, and for ...

tidyfast tidyfast hex sticker Author(s): Tyson S. Barrett, Mark Fairbanks, Ivan Leung, Indrajeet Patil Maintainer: Tyson S. Barrett ([email protected]) The goal of tidyfast is to provide fast and efficient alternatives to some tidyr...

Motivation Coarse data Simulated example Real data example References Motivation A group of researchers from the Data Science Institute (DSI) at Hasselt University developed a new statistical model to estimate the incubation period of a pathogenic organism based on coarse data. The incubation period of an infectious disease (defined as ...

In September 2023, I wrote a blog post about creating typewriter-styled maps in {ggplot2}. It described the process of creating an elevation map where, instead of using colours to denote the different elevation levels, different letters of the alphabet...

“We can only see a short distance ahead, but we can see plenty there that needs to be done.” ― Alan Turing AI virtual assistants have become indispensable tools for both personal and professional settings. While Siri and Alexa are household names, the latest advancements in AI-powered virtual assistants offer capabilities ...

Introduction Hello, fellow R useRs! Today, we’re going to discuss a fascinating topic that bridges the gap between VBA (Visual Basic for Applications) and R. We’ll explore how to get a list of all open workbooks in Excel using VBA and then call...

The Community Team, alongside a group of regular data.table contributors, is very please to announce a new Seal of Approval program! Our goal is to collect packages that significantly support, extend, or rely on data.table. We identify four broa...

Introduction When fitting a nonlinear regression model in R with nls(), the first step is to select an appropriate regression model to fit the observed data, the second step is to find reasonable starting values for the model parameters in order to initialize the nonlinear least-squares (NLS) algorithm. In some ...

BlueSky Statistics is a free and open-source graphical user interface for the powerful R language. There is also a commercial “Pro” version that offers tech support, priority feature requests, and many powerful additional features. The Pro version has been beefed up considerably with the new features below. These features apply ...

Python package 'colorspace' with tools for manipulating and assessing colors and palettes is now available from PyPI, accompanied by a documentation web page and an arXiv paper. Citation Reto Stauffer, Achim Zeileis (2024). “...

Machine Learning is transforming how we design drugs, model diseases, develop treatments, and conduct clinical trials. We recently collaborated with IIMCB to carry out augmented RNA-Ligand binding prediction with machine learning. Learn more about our work in this blog post. These advancements are helping researchers and healthcare professionals make smarter ...

Introduction This blog is a new function, treatment_model that have been added to the Dyn4cast package. The function provides means for enhanced estimation of propensity score and treatments effects from randomized controlled designed experiments. Ob...