R-bloggers

Intro I have this package on CRAN called {chronicler} and last month I got an email from CRAN telling me that building the package was failing, and I had two weeks to fix it. I immediately thought that some dependency that my package depends on got updated, and somehow broke ...

Introduction Today, we’re diving into a fundamental data pre-processing technique: scaling values between 0 and 1. This might sound simple, but it can significantly impact how your data behaves in analyses. Why Scale? Imagine you have data on ...

#169–170PuzzlesAuthor: ExcelBIAll files (xlsx with puzzle and R with solution) for each and every puzzle are available on my Github. Enjoy.Puzzle #169In todays challenge we have certain pattern to extract from given texts. As you may notice I really li...

With ShinyConf 2024 just around the corner, first-time attendees may find themselves grappling with a mix of excitement and uncertainty. Fear not! This comprehensive guide aims to equip you with the tools and knowledge you need to prepare, thrive, and make the most out of your ShinyConf experience. Curious about what’...

Crafting compelling narratives often depends on presenting insights clearly and effectively. This skill is key for data science. For users of R’s {gt} package, it has provided a powerful and flexible way to create publication-quality tables in Quarto reports or Shiny apps such as clinical trial reports, research documents, ...

Introduction Data normalization is a crucial preprocessing step in data analysis and machine learning workflows. It helps in standardizing the scale of numeric features, ensuring fair treatment to all variables regardless of their magnitude. In ...

Introduction MLwiN from the Centre for Multilevel Modelling (CMM) at the University of Bristol (disclaimer: where I also work) is a fantastic piece of software (Charlton et al. 2024). The name suggests it only works on Windows, but as we’ll find out this is very much not the case. However, ...

 The adhan package is available here ! The prayer times cannot always be estimated accurately in some places such as countries located in higher latitudes (e.g. the Nordic countries) . as for instance during midsummer time the Fajr may b...

Puzzles no. 419–423PuzzlesAuthor: ExcelBIAll files (xlsx with puzzle and R with solution) for each and every puzzle are available on my Github. Enjoy.Puzzle #419What do you think hearing reversely divisible? My first thougth was… hey, palindromes are p...

In their “Object-Oriented Programming is Bad” video, Brian Will mentions a desired reserved word: use (timestamp) that could look something like this: The variables you specify come from the enclosing scope and would be available as copies within a separate … Continue reading →

Always ask for more than what’s initially offered. I recently read an X post from a CEO of a healthcare startup about how she considered giving a candidate 2.5X the offered comp just because he ASKED for it. How can an average job seeker accomplish the same feat? Now, ...

Hey guys, welcome back to my R-tips newsletter. Businesses are sitting on a mountain of unstructured data. The biggest culprit is PDF Documents. Today, I’m going to share how to PDF Scrape text and use OpenAI’s Large Language Models (LLMs) to summarize...

Introduction: how to open a second instance of RStudio Desktop on macOS On macOS when RStudio Desktop is open it can be inconvenient to open a second (or third or fourth) instance of it. If you left click the RStudio Desktop icon nothing happens. I...

In the vast and ever-expanding universe of data, the ability to not just see but truly understand the stories hidden within numbers becomes paramount. This journey of comprehension isn’t unlike the iconic moment from The Matrix, where Neo, standing amidst the endless possibilities of the digital realm, declares his ...