Introducing mall for R…and Python
We are proud to introduce the {mall}. With {mall}, you can use a local LLM to run NLP operations across a data frame. (sentiment, summarization, translation, etc). {mall} has been...continue reading.
We are proud to introduce the {mall}. With {mall}, you can use a local LLM to run NLP operations across a data frame. (sentiment, summarization, translation, etc). {mall} has been...continue reading.
Banks are always looking for smarter ways to manage their operations, serve customers, and stay ahead of risks. Generative AI is giving them new ways to solve old problems. From...continue reading.
Hello and welcome to this new issue! How to have (my) content shared by R Weekly? This week’s release was curated by Sam Parmar, with help from the R Weekly...continue reading.
AI Optimizes Financial Decision-Making AI analyzes vast datasets to provide insights, improving investment strategies, forecasting, and credit risk assessments. Automation Drives Efficiency AI-powered tools automate routine tasks like transactio…continue reading.
Validating R Shiny applications is critical in the pharmaceutical industry, where data integrity, compliance, and patient safety are essential. Building on our post on R package validation, Shiny apps introduce...continue reading.
Hello and welcome to this new issue! How to have (my) content shared by R Weekly? This week’s release was curated by Jonathan Carroll, with help from the RWeekly team...continue reading.
Picture this: a crucial clinical trial is underway, and every data point matters. The pharma industry is increasingly turning to open-source tools like R to handle complex data analysis, drawn...continue reading.
A website or application’s performance and loading speed play a crucial role in determining its user experience (UX) and success. Slow performance is the main reason why users lose interest...continue reading.
Think of Shiny for Python custom modules as reusable components. You write the logic once, make it as tweakable as possible, and then reuse it throughout your application. As it...continue reading.
Hello and welcome to this new issue! How to have (my) content shared by R Weekly? This week’s release was curated by Eric Nantz, with help from the R Weekly...continue reading.
When looking for a copula I could simulate from (rather than the Gaussian copula), I found an algorithm for the Ali–Mikhail–Haq copula that was proposed by Kumar (2010) as reproduced...continue reading.
Following the pandemic, procurement professionals are tasked with addressing global supply chain resilience, ensuring reliable quality and timely delivery, optimizing value chains, and embracing digital transformation. Procurement teams are essential...continue reading.
If you’re a biostatistician or clinical software developer, you’ve probably felt the weight of trying to meet GxP standards while navigating the FDA/EMA submission process. It’s not just about getting...continue reading.
Hello and welcome to this new issue! How to have (my) content shared by R Weekly? This week’s release was curated by Colin Fay, with help from the R Weekly...continue reading.
Dealing with large datasets—where observations run into the millions and file sizes reach gigabytes or more—can be daunting for many data practitioners. However, there is no shortage of specialized tools,...continue reading.
ROC (Receiver Operation Characteristics) – curve is a graph that shows how classifiers performs by plotting the true positive and false positive rates. It is used to evaluate the performance...continue reading.
We were impressed with Shiny Assistant’s performance for R Shiny apps – but you already know that. Will Shiny Assistant for Python impress us the same way? You’re about to...continue reading.
Hello and welcome to this new issue! How to have (my) content shared by R Weekly? This week’s release was curated by Tony ElHabr, with help from the R Weekly...continue reading.
Simplifies the creation of reproducible data science environments using the ‘Nix’ package manager, as described in Dolstra (2006) <ISBN 90-393-4130-3>. The included ‘rix()’ function generates a complete description of the...continue reading.
I have just finished updating my reviews of graphical user interfaces for the R language. These include BlueSky Statistics, jamovi, JASP, R AnalyticFlow, R Commander, R-Instat, Rattle, and RKward. The...continue reading.