Join our workshop on RAG (Retrieval Augmented Generation) in R with ragnar, which is a part of our workshops for Ukraine series! Here’s some more info: Title: RAG (Retrieval Augmented Generation) in R with ragnar Date: Thursday, September 11th, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone) Speaker: Sharon Machlis is a ... [Read more...]
Dear fellow developers and data scientists,
If everyone reading this gave just the price of a coffee, I could focus fully on the open source work that serves our community. But not everyone can or will contribute, and that’s okay.
Why I’m Writin... [Read more...]
Shiny allows to use all of R to visualize information, no matter if it is a sophisticated statistical model or a simple plot. One of the features it does not provide out-of-the-box is adding the selected parameters to the URL, like this:
https://... [Read more...]
I have been working on a project where we have been unable to use {shinytest2},
and therefore have had a heavy reliance on the testServer
function on testing the reactive functionality in each of the modules. Whilst it is great f... [Read more...]
In the second quarter, Coinbase did not meet Wall Street’s expectations. This decline occurred alongside lower market volatility, despite BTC prices reaching record highs according to Kaiko Research. The chart below indicates that the market priced the aforementioned from August. We can observe a negative decoupling between the Bitcoin ...
R offers excellent facilities for working interactively with SQL databases on a remote server. It becomes more challenging to do so in a self-contained Quarto document, especially if you wish to be able to render it without running into errors. F... [Read more...]
Most predictive modeling strategies require there to be no missing data for model estimation. When there is missing data, there are generally two strategies for working with missing data: 1.) exclude the variables (columns) or observations (rows)... [Read more...]
Shiny in Production Conference wouldn’t be possible without our sponsors, so we wanted to take the time to tell you a little bit about them.
Don’t miss out on this great chance to learn from R experts and network with fellow data science enthusiasts! Tickets are available at ...
Cluster analysis is a statistical procedure for grouping observations using an observation-centered approach as compared to variable-centric approaches (e.g. PCA, factor analysis). Whether a preprocessing step for predictive modeling or the ... [Read more...]
I’m going to discuss some horrifying ideas in this post, so let’s begin with some good news!
I’ve previously studied tech layoffs. According to my main source of data layoffs.fyi, the weekly number of layoffs has been steadily declining. In the US, th...
{metacore} and {metatools} have a new package maintainer
Hi, everyone! I’m Liam and I’m excited to announce that I have taken over as package maintainer for both {metacore} and {metatools} from Christina Fillmore. I work at GSK as a clinical ... [Read more...]
A Centralized Metadata Object Focus on Clinical Trial Data Programming Workflows • metacore {metacore} and GitHub - pharmaverse/metatools {metatools} have a new package maintainer
Hi, everyone! I’m Liam and I’m excited to announce that I ... [Read more...]
Morgan Stanley analysts believe that the One Big Beautiful Bill will be a boon for Big Tech, as it will provide a cash influx to AI giants, thereby enhancing their dominance in future AI competitions. But Trump’s 1 August tariffs, which compensate for tax cuts in the aforementioned bill, seemed ...
Time to finally patch a hole in the leaky roof of my knowledge: what are Generalised Linear Models anyway?
Groundwork: what are Linear Models anyway?
Generalised Linear Models (GLMs) are a short step from Linear Models, provided you have the ri...
Introducing AMI - Adaptive Media Intelligence, a platform that democratizes data access through conversational analytics, interactive dashboards, and AI-powered insights. [Read more...]