{shinytesters}: Updating Inputs in testServer | Ashley's Blog
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 for checking the server-side logic based on dummy inputs being...
Build your own universe of packages similar to the 'tidyverse'
package with this meta-package creator. Create a
package-verse, or meta package, by supplying a custom name for the
collection of packages and the vector of desired package names to include–
and optionally supply a destination directory, an indicator of whether to
keep the created package directory, and/or a vector of verbs implement via
the 'usethis' package.
quarto R package v1.5.0: Streamlined Workflows for R Users – Quarto
The quarto R package 1.5.0 brings powerful new features for passing R values to Quarto metadata, inserting Markdown in HTML tables, working with R scripts, building paths from Quarto projects, and automating Quarto CLI from R.
posit::conf | R & Python Data Science Conference - Posit
Connect with a vibrant global community of R and Python data scientists at Posit's annual conference. Learn, share, and grow your expertise in data science.
httr2 1.2.0 improves security for redacted headers, improves URL parsing and building, enhances debugging, and includes a bunch of other quality of life improvements.
In this chapter we aim at adding HTTP testing infrastructure to exemplighratia2 using httptest2. For this, we start from the initial state of exemplighratia2 again. Back to square one!...
Welcome | Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic data, including those with scientific, societal, and environmental implications. This book will interest people from many backgrounds, especially Geographic Information Systems (GIS) users interested in applying their domain-specific knowledge in a powerful open source language for data science, and R users interested in extending their skills to handle spatial data.
Around this time of year we're thinking about things we're going to do differently, new practices we've been putting off for too long, and mistakes we want to avoid continuing into another year. For many of us in the API world, that is going to be switching to API Design-first, using standards like OpenAPI to plan and prototype the API long before any code is written.
More organizations are switching to API Design-first with OpenAPI, thanks to huge efforts from tooling vendors - from the bigge