R/Shiny allows you to prototype a working web application quickly and easily. However, with increasing amounts of data, your app may become slow and, in extreme cases, crash due to...continue reading.
The data.table 2023 user community survey is here, open until December 1st.continue reading.
In the fast-paced world of pharmaceutical software development, open-source tools play a pivotal role. Among these, Teal stands out as a groundbreaking framework, developed under the aegis of Roche, for...continue reading.
It doesn’t matter if you’ve created the world’s best R Shiny application if you can’t share it with others. Reproducibility and portability are two major key points in software development,...continue reading.
Shiny dashboards created using R have become a staple for data professionals due to their flexibility, power, ease of use, and community support when carrying out data visualization and analytics....continue reading.
Machine learning – and the related field of AI – will probably be worth millions of dollars for people who master these skills. But as I always tell my students:...continue reading.
Uselessness is such a long useless word! In statistics, R-squared is a statistical measure, that determines the proportion of variance in dependent variable that can be explained by the independent...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.
We’re delighted to announce the release of scales 1.3.0. scales is a packages that extracts much of the scaling logic that is used in ggplot2 to a general framework, along...continue reading.
We are thrilled to announce the release of reactable.extras, which is now available for seamless integration into your Shiny applications, marking its debut as a significant release on CRAN. With...continue reading.
The introduction of innovative tools like Shiny and Quarto has empowered researchers and data scientists to transform complex data into interactive and insightful reports. This progress is not just an...continue reading.
In writing an R package, it is often useful to build up some function call in string form, then “execute” the string. To give a really simple example: Quite a...continue reading.
If there’s one type of data no company has a shortage of, it has to be time series data. Yet, many beginner and intermediate R developers struggle to grasp their...continue reading.
What about variable selection? Which predictor variables/features should we use? No matter what anyone tells you, this is an unsolved problem. But there are lots of useful methods. See the...continue reading.
In today’s data-driven landscape, the way we store and manage data can significantly impact both efficiency and decision-making processes. While CSV files have long been the go-to format for quick...continue reading.
This blog post explains precision in classifiers and machine learning models. It will explain what precision is, the pros and cons of this metric, how to improve precision, and more....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.
Scikit-learn, which is affectionately known as sklearn among Python data scientists, is a Python library that offers a wide range of machine learning tools. Among these tools is the confusion_matrix...continue reading.
Sorry I haven’t been very active on this blog lately, but now that I have more time, that will change. I’ve got myriad things to say. To begin with, then,...continue reading.
Do you often find yourself developing an R/Shiny dashboard and wish you knew how your users were using the dashboard, which views are being used the most and how inputs...continue reading.
