Almost Bare Bones WebR Starter App
Let’s walk through how to set up a ~minimal HTML/JS/CS + WebR-powered “app” on a server you own. This will be vanilla JS (i.e. no React/Vue/npm/bundler) you can hack on...continue reading.
Let’s walk through how to set up a ~minimal HTML/JS/CS + WebR-powered “app” on a server you own. This will be vanilla JS (i.e. no React/Vue/npm/bundler) you can hack on...continue reading.
While it sounds like the title of a science-fiction catastrophe novel or of a (of course) convoluted nouveau roman, this book by Nick Huntington-Klein is a massive initiation to econometrics...continue reading.
WebR 0.1.0 was released! I had been git-stalking George (the absolute genius who we all must thank for this) for a while and noticed the GH org and repos being...continue reading.
When a person opens their medicine cabinet, they open the door to ingenuity: a confluence of nature and human discovery that has found cures for diseases and helps manage the...continue reading.
5x height * [X] [`hugodown::use_tidy_thumbnails()`](https://rdrr.io/pkg/hugodown/man/use_tidy_post.html) * [x] Add intro sentence, e.g. the standard tagline for the package * [x] [`usethis::use_tidy_thanks()`](https://usethis.r-lib.org/reference/use_tidy_thanks.html) * [x] Update temporary URLS to r-wasm.org * [x] Check...continue reading.
In this first in a series of posts on group-equivariant convolutional neural networks (GCNNs), meet the main actors — groups — and concepts (equivariance). With GCNNs, we finally revisit the...continue reading.
If you seek empirical economic studies that can be replicated, try my Shiny-based search app: https://ejd.econ.mathematik.uni-ulm.de The last couple of days, I was quite excited to explore the fantastic OpenAI...continue reading.
The 8th of March is celebrated as International Women’s Day (IWD). It’s here to remind us about women’s achievements, raise awareness about discrimination, and motivate us to take action to...continue reading.
We’re tickled pink to announce the release of tidyverse 2.0.0. The tidyverse is a set of packages that work in harmony because they share common data representations and API design....continue reading.
Data scientists, statisticians, analysts, researchers, and many other professionals write a lot of code. Not only do they write a lot of code, but they must also read and review...continue reading.
It was my great pleasure to present last week to the NYC Data Hackers on the topic of Copilot for R. If you haven’t come across Copilot before, it’s like...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 Kelly Bodwin and Emily Robinson, with help from...continue reading.
Nothing short of wacky usage of plot() function with xspline to interpolate the points, but still a “parameter” short of Bezier’s curve. 🙂 Given two random vectors, you can generate...continue reading.
Recently, I wrote a blog post stating that I’m starting to use Python for most of my data science work. And I’m starting to recommend Python as the data science...continue reading.
Recently, I wrote a blog post stating that I’m starting to use Python for most of my data science work. And I’m starting to recommend Python as the data science...continue reading.
I’ve been working on an ebook (that you can read over here) made using Quarto. Since I’m also selling a DRM-free Epub and PDF on Leanpub I wanted to share...continue reading.
Tiling is one of the big pieces to put together nice, interactive maps. How The Post is replacing Mapbox with open source solutions describe the tech behind solving this problem...continue reading.
One hundred sixty-five new packages made it to CRAN in January. Here are my “Top 40” selections in thirteen categories: Actuarial Statistics, Archaeology, Computational Methods, Ecology, Genomics, Mathematics, Medicine, Machine...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.
Faceting1 is probably the most distinctive feature that defined the early success and wide adoption of ggplot2. Small-multiples are often a great dataviz choice.2 But one common problem is when...continue reading.