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Chatgpt R-programming Prompts • PromptDen
Chatgpt R-programming Prompts • PromptDen
Explore a curated collection of thought-provoking chatbot prompts designed for R-programming enthusiasts. Ignite your coding creativity!
·promptden.com·
Chatgpt R-programming Prompts • PromptDen
Vapour | Vapour
Vapour | Vapour
Write more robust R code
·vapour.run·
Vapour | Vapour
Ambiorix
Ambiorix
Web framework for the R programming language, inspired by express.js, allows building applications as well as APIs.
·ambiorix.dev·
Ambiorix
Capturing Screenshots Programmatically With R
Capturing Screenshots Programmatically With R
As part of our work documenting R-Universe, we’re adding screenshots of the interface to the documentation website. Taking screenshots manually could quickly become very cumbersome, especially as we expect they’ll need updating in future: we might want to change the universes we feature, the interface might improve yet again and therefore look slightly different. Therefore, we decided to opt for a programmatic approach. In this post we shall present our learnings from using the R packages chromote and magick to produce screenshots.
·ropensci.org·
Capturing Screenshots Programmatically With R
How to webscrape in R?
How to webscrape in R?
Learn how to webscrape in R and use it to gather real data on the Internet.
·codingthepast.com·
How to webscrape in R?
R in the backend not Shiny
R in the backend not Shiny
1 Using R in the back-end .. but not with R-Shiny LIBData Portal
·docs.google.com·
R in the backend not Shiny
Refactoring notes
Refactoring notes
I worked on a refactor of an R package at work the other day. Here’s some notes about that after doing the work. This IS NOT a best practices post - it’s just a collection of thoughts. For context, the package is an API client. It made sense to break the work for any given exported function into the following components, as applicable depending on the endpoint being handled (some endpoints needed just a few lines of code, so those funtions were left unchanged):
·recology.info·
Refactoring notes
R Color Palette Finder
R Color Palette Finder
The ultimate tool for finding the perfect color palette for data visualization with R and paletteer. Explore over 2000 palettes, see them in action on various charts, simulate color blindness, and export ready-to-use R code snippets.
·r-graph-gallery.com·
R Color Palette Finder
What's new in {PrettyCols} 1.1.0? | Nicola Rennie
What's new in {PrettyCols} 1.1.0? | Nicola Rennie
{PrettyCols} is an R package containing aesthetically pleasing colour palettes that are compatible with {ggplot2}. Find out about new features and palettes contained in the latest release!
·nrennie.rbind.io·
What's new in {PrettyCols} 1.1.0? | Nicola Rennie
shinycovr
shinycovr
Contribute to yonicd/shinycovr development by creating an account on GitHub.
·github.com·
shinycovr
ardata-fr/shinytools
ardata-fr/shinytools
Contribute to ardata-fr/shinytools development by creating an account on GitHub.
·github.com·
ardata-fr/shinytools