R News from another blog for R community
data.table User Survey
The data.table 2023 user community survey is here, open until December 1st.continue reading.
R Shiny Docker: How To Run Shiny Apps in a Docker Container
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.
{rhino} vs {golem} vs {leprechaun}: Which R/Shiny Library is Right for You?
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.
Classifier Recall, Explained
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.
Little useless-useful R functions – How to make R-squared useless
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.
scales 1.3.0
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.
R Weekly 2023-W48 object-oriented refactoring, benchmarking, Rust + R
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.
reactable.extras 0.2.0 Release: Enhanced Interactivity and Efficiency for Shiny Apps
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.
Revolutionizing Clinical Research with Interactive Reports: Shiny and Quarto in Action
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.
The “Secret Sauce” Used in Many qeML Functions
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.
Time Series Analysis in R: How to Read and Understand Time Series Data
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.
qeML Example: Issues of Overfitting, Dimension Reduction Etc.
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.
Folks, C’mon, Use Parquet
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.
Classifier Precision, Explained
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.
R Weekly 2023-W47 httr2 1.0.0, Road to Building Ten Million Binaries, How to Get Good with R
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.
Sklearn confusion_matrix, Explained
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.
New Package, New Book!
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.
{shiny.telemetry}: Enhanced User Behavior Analytics in R/Shiny Dashboards
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.
Classification Accuracy, Explained
This blog post will explain classification accuracy. It will explain what accuracy is, the pros and cons of this metric, how to improve accuracy, and more. Table of Contents: A...continue reading.
R lubridate: How To Efficiently Work With Dates and Times in R
Data analytics and programming don’t often have a lot of things in common. But where they’re almost indistinguishable is the topic of dates. The skill of working with datetimes is...continue reading.
