maestro 0.3.0 introduces principled methods for obtaining a schedule table, pipeline status, and artifacts (i.e., return values). This is now possible because of a major refactoring of the backend to use R6 classes for pipelines and schedul...

The recently-proposed extended-support beta regression model in R package betareg is illustrated by simultaneously modeling the occurrence and extent of loss aversion in a behavioral economics experiment. Motivation To illustra...

Hey guys, welcome back to my R-tips newsletter. In today’s fast-paced data science environment, speeding up exploratory data analysis (EDA) is more critical than ever. This is where gt_summarytools() comes in. A new function I’ve developed, gt_summaryt...

I’m happy to announce the release of OptimalTransportNetworks.jl, a modern Julia translation of the MATLAB OptimalTransportNetworkToolbox implementing the quantitative spatial model and algorithms described in Fajgelbaum, P. D., & Schaal, E. (2...

Sometimes it feels a bit silly when a simple statistical model has a fancy-sounding name. But it also feels good to drop the following in casual conversation: “Ah, then I recommend a Plackett-Luce model, a straightforward generalization of the Bradley–Terry model, you know”, when a friend wonders how they ...

collapse Author(s): Sebastian Krantz Maintainer: Sebastian Krantz ([email protected]) collapse hex sticker collapse is a large C/C++-based infrastructure package facilitating complex statistical computing, data transfor...

Haziq Jamil, the founder and organizer of the Brunei R User Group, recently spoke with the R Consortium. Haziq established the first R User Group in Brunei to promote R... The post Free Boba Tea and Technical R Topics Lure Young Learners to New Brunei R User Group appeared first ...

Key points R provides multiple methods to import data files in R, making it a versatile tool for data analysis. Efficient CSV Import Methods: Different functions like read.csv, read_csv, and fread cater to different dataset sizes and performance n...

I was interested by a LinkedIn post about the number 397: “397 is conjectured to be the largest prime that can be represented uniquely as the sum of three positive squares” That is, 3^2 + 8^2 + 18^2 = 397 This led to some confusion in the commen...

Introduction Thank you for joining me today as we explore the fundamental Linux commands ls, file, and less. These commands are essential for navigating and managing files in a Linux environment. If you are new to Linux like me or looking to de...

Disclaimer:While my work in this series draws inspiration from the IBCS® standards, I am not a certified IBCS® analyst or consultant. The visualizations and interpretations presented here are my personal attempts to apply these principles and may not f...

Introduction Printing multiple variables on the same line is a fundamental skill for R programmers. This guide will introduce you to the cat() function, a powerful tool for efficient and flexible output in R. Introduction to cat() The cat() f...

Artwork by: Shannon Pileggi and Allison Horst Introduction Data analysis requires a deep understanding of how to structure data effectively. Often, datasets are not in the format most suitable for analysis or visualization. That’s wher...

Introduction to printf() in C In the world of C programming, understanding how to effectively use printf() is crucial for any beginner. As one of the most widely used functions, it plays a pivotal role in outputting formatted text to the consol...

#217–218PuzzlesAuthor: ExcelBIAll files (xlsx with puzzle and R with solution) for each and every puzzle are available on my Github. Enjoy.Puzzle #217Turn around, transpose, pivot it all means almost the same. Like table asked us to spin itself around....

In Rhino 1.7.0, we began introducing the Rhino style guide and linting for box::use() calls to promote best practices for code quality. These linter functions were eventually separated from Rhino 1.8.0 into the {box.linters} package. Among the checks performed by {box.linters} are rules covering box::use() calls. For existing ...

Introduction In the world of R programming, tibbles are enhanced data frames that provide a more user-friendly way to handle data. Unlike traditional data frames, tibbles come with a set of features that make data manipulation and viewing easie...