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.
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.
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.
As the reliance on data intensifies, the need for efficient and effective data analysis methods has never been greater. This article delves into the world of functional programming in R,...continue reading.
We’re delighted to announce the release of httr21 1.0.0. httr2 is the second generation of httr: it helps you generate HTTP requests and process the responses, designed with an eye...continue reading.
When you’re working with classification and detection systems, you’ll commonly hear the term “False Negative.” You might be asking, what is a False Negative? And if you’re a serious machine...continue reading.
I had thought most folks likely knew this already, but if you are user of RStudio dailies (this may apply to regular RStudio, but I only use the dailies) and...continue reading.
Users of ggplot2 often run into issues with their saved graphics not having the expected resolution or font sizes. By default, when using RStudio, ggsave() saves graphics at the last...continue reading.
Twice a year, the tidymodels team comes together for “spring cleaning,” a week-long project devoted to package maintenance. Ahead of the week, we come up with a list of maintenance...continue reading.
Let’s be honest – all of your R Shiny app logic is contained in a single app.R file, and it’s probably several hundreds of lines long. No judgment – we’ve...continue reading.
In the field of oncology, in-depth research into and comprehension of drug-drug interactions hold paramount significance. This is especially crucial given the limited margin between the effective and toxic doses...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.
Did you ever think why we (okay, I’m clearly biased, maybe just many of us, humans) love maps so much? Why do they often work so much better than other...continue reading.
Did you ever think why we (okay, I’m clearly biased, maybe just many of us, humans) love maps so much? Why do they often work so much better than other...continue reading.
By Sang Ho Kwon. Recent advancements in spatially-resolved transcriptomics (SRT) technologies have ushered in a new era of possibilities for biological research. These technologies offer the unique ability to map...continue reading.
Deriving coordinates from a string of text that represents a physical location on Earth is a common geo data processing task. A usual use case would be an address question...continue reading.
Have you ever had someone talk about a classification system or medical diagnostics and mention a “False Positive?” It’s ok … False positives can be confusing if you haven’t worked...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.
Using R as an alternative to SAS (Statistical Analysis System) offers bespoke interactivity on top of R routines. It enables effective technical handling while engaging non-technical users through interactive data...continue reading.
We’re chuffed to announce the release of dbplyr 2.4.0. dbplyr is a database backend for dplyr that allows you to use a remote database as if it was a collection...continue reading.
Functional Programming‘s relevance in the R programming language, a language primarily known for its prowess in data analysis and statistical computing, is particularly noteworthy. By leveraging functional programming, organizations can...continue reading.