R Weekly 2023-W43 Base R, More base R, data.table
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.
R News from another blog for R community
Choosing the Right Data Dashboard Tool: The Unique Strengths of Streamlit and Shiny
In an era where data drives critical decisions, interactive dashboards and data applications have ascended as indispensable tools across sectors like business, scientific research, and more. This is especially true...continue reading.
True Negative, Explained
If you want to master building classification systems for machine learning, you need to understand how to evaluate classifiers. And in turn, that means you need to understand classification metrics....continue reading.
Unlocking the Power of Functional Programming in R (Part 1)
In the ever-evolving landscape of software development, there exists a paradigm that has been gaining momentum and reshaping the way we approach coding challenges: functional programming. In this article, we...continue reading.
R Weekly 2023-W42 testing, shiny logging, default arguments
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.
R Weekly 2023-W41 potools, GitHub Copilot, reproducibility
Hello and welcome to this new issue! How to have (my) content shared by R Weekly? This week’s release was curated by Jon Calder, with help from the R Weekly...continue reading.
Little useless-useful R functions – Function for faster reading with Bionic Reading
Trick your brain into faster reading with the help of Bionic Reading. With the help of highlighting part of the words, it “guides your eyes over the text and the...continue reading.
testthat 3.2.0
We’re chuffed to announce the release of testthat 3.2.0. testthat makes it easy to turn your existing informal tests into formal, automated tests that you can rerun quickly and easily....continue reading.
Working With Legacy Code: Extending Shiny Modules with the Sprout Technique and Test Driven Development
Making changes to a legacy system can be daunting. How can we develop code when we don’t have unit tests for a part of a system we need to change?...continue reading.
Working With Legacy Code: Extending Shiny Modules with the Sprout Technique and Test Driven Development
Making changes to a legacy system can be daunting. How can we develop code when we don’t have unit tests for a part of a system we need to change?...continue reading.
Q3 2023 tidymodels digest
The tidymodels framework is a collection of R packages for modeling and machine learning using tidyverse principles. Since the beginning of 2021, we have been publishing quarterly updates here on...continue reading.
Your Best Path to a Data Science Job
Data science is now, and will continue to be a hot job. Right now, the average data science salary is somewhere around $150,000. Although many people are claiming that AI...continue reading.
The Best Way to Plot an ROC Curve in Python
This tutorial will show you how to plot an ROC curve in Python using the Seaborn Objects visualization package. The tutorial is divided into sections for easy navigation, so if...continue reading.
R Weekly 2023-W40 zoomerjoin, typewriter-style plots, system dependencies
Hello and welcome to this new issue! How to have (my) content shared by R Weekly? This week’s release was curated by Ryo Nakagawara, with help from the R Weekly...continue reading.
User-Centric Dashboards: 9 Best Practices for Effective Shiny Dashboards
You decided you want to build a Shiny dashboard to bring your data to a specific set of users. In your mind, this dashboard will be a crucial tool to...continue reading.
Making The Most Out of {shiny.telemetry} Using PostgreSQL & Timescale
Recently, I was tasked with setting up telemetry for various demo applications here at Appsilon and building a dashboard to monitor the generated telemetry data. Being a performance enthusiast, I...continue reading.
Ensuring Your Shiny App’s Production Stability: Testing with Targets
We developed an app that visualizes data from more than 100 studies standardized to one data model, and it didn’t go as smoothly as expected… “Why would I want to...continue reading.
Introduction to BiocMAP
By Nick Eagles Over the past few years, I’ve had the opportunity to work with a lot of whole-genome bisulfite-sequencing (WGBS) datasets. They provide a powerful opportunity to look at...continue reading.
Freshwater Dashboard – Importance of UI/UX for R Shiny Applications
In today’s world, where freshwater 💧 scarcity is a pressing issue, having a comprehensive understanding of freshwater availability and access is important for making informed decisions and planning sustainable water...continue reading.
Introduction to R Shiny Reactivity with Hands-on Examples
R Shiny is all about reactivity. It’s a paradigm that allows you to build responsive and interactive applications by implementing data-driven interfaces. Changes triggered by the user will be immediately...continue reading.
