DevOps teams are responsible for delivering software applications at an unprecedented pace while maintaining a high level of output and performance quality. With the rapid advancements… The post How Can...continue reading.
DevOps teams are responsible for delivering software applications at an unprecedented pace while maintaining a high level of output and performance quality. With the rapid advancements in technology, DevOps teams...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 Jon Calder, with help from the R Weekly...continue reading.
The R package landscape is dynamic, with changes in infrastructure common, especially when CRAN makes changes to their policies and requirements. This is particularly true for packages that include low-level...continue reading.
Jesus. I just spent about an hour playing with GPT, asking it to write some Pandas code for me, and I want to set my computer on fire. Do you...continue reading.
I won’t wax long and poetic here since I’ve already posted the experiment that has all the details. TL;DR: there are still only ~90-ish 📦 in the WebR WASM “CRAN”,...continue reading.
Is your R Shiny app slow, but you doubt Shiny itself is the bottleneck? This is a likely scenario, especially if you’re given a slow database with no indexes or...continue reading.
Hot of the pre-print press!🔥I’m really excited to share with all of you our latest in-depth characterisation of #splicingaccuracy across human introns and tissues🗞️@UCLchildhealth @LieberInstitute @GTExPortal @biorxivpreprint @ASAP_Research #scitwitterhttps://t.co/ARUZeAfybe— SoniaRuiz...continue reading.
One hundred seventy-three new packages made it to CRAN in February. Here are my “Top 40” selections in thirteen categories: Computational Methods, Data, Ecology, Economics, Machine Learning, Mathematics, Medicine, Pharma,...continue reading.
This article is originally published at https://lcolladotor.github.io/ Thanks for visiting r-craft.org This article is originally published at https://lcolladotor.github.io/ Please visit source website for post related comments.continue reading.
The adoption of Shiny, the R package for building interactive web applications, is growing. As a leader in R Shiny development for enterprises, we’re asking you, fellow users of R...continue reading.
How many times have you encountered a file path issue when running your code on a different environment? Probably far too many. It doesn’t need to be the case anymore...continue reading.
See it live before reading! The previous post brought lit-webr, to introduce Lit and basic reactivity. Today, is more of the same, but we bring the OG Shiny demo plot...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 Ryo Nakagawara, with help from the R Weekly...continue reading.
We code up a simple group-equivariant convolutional neural network (GCNN) that is equivariant to rotation. The world may be upside down, but the network will know.continue reading.
Writing markdown documents outside RStudio (using the usual set of packages) has benefits and struggles. Huge struggle is transforming dataframe results into markdown table, using hypens and pipes. Ugghhh… This...continue reading.
See it live before reading! This is a Lit + WebR reproduction of the OG Shiny Demo App Lit is a javascript library that makes it a bit easier to...continue reading.
How many times has your code unexpectedly stopped working? Even better, how many times did the code work on your machine, but your coworkers couldn’t run it? Both questions share...continue reading.
Every data science project needs a data validation step. It’s a crucial part, especially when feeding data into machine learning models. You don’t want errors or unexpected behaviors in a...continue reading.
We’re stoked to announce the release of dplyr 1.1.1. We don’t typically blog about patch releases, because they generally only fix bugs without significantly changing behavior, but this one includes...continue reading.
GIS / R / R News / Shiny / Visualization
Interactive visualization of geospatial data with R Shiny
April 17, 2021
