R Weekly 2023-W23 gptstudio, Web Scraping with R

05 Jun 2023

• How to have (my) content shared by R Weekly?

This week’s release was curated by Jon Calder, with help from the R Weekly team members and contributors.

Highlight

• On updating a chat assistant app for the RStudio IDE

• Static and Dynamic Web Scraping with R

Insights

• Using R + VSCode

• Comparing Analysis Method Implementations in Software (CAMIS)

• Dependency Management

• Sharing the (unsuccessful) Big Book of R upgrade proposal

R in the Real World

• How to assign Session ID’s to group event data

• Alone Australia is now included in {alone}

R in Organizations

• posit::glimpse newsletter

R in Academia

• CRAN Task Views: The next generation

Resources

• Data Visualization with R: Use R, ggplot2, and the principles of graphic design to create beautiful and truthful visualizations of data

• On updating a chat assistant app for the RStudio IDE

• What’s new in the tidyverse in 2023?

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• {mirai.promises} 0.1.0: use ‘mirai’ as ‘promises’ for easy integration in ‘plumber’ or ‘shiny’ pipelines.

• xlcutter 0.1.0: Parse Batches of ‘xlsx’ Files Based on a Template

• {glossary 1.0.0}: Add glossaries to markdown and quarto documents by tagging individual words. Definitions can be provided inline or in a separate file

Updated Packages

🔍 Search on R-universe 🔍

• {nanonext} 0.9.0: R binding for NNG (Nanomsg Next Gen) Lightweight Messaging Library

• {NIMBLE} 1.0.0: A system for building and sharing analysis methods for statistical models, especially for hierarchical models and computationally-intensive methods (such as MCMC and SMC)

• {attachment} 0.4.0: Breaking changes and configuration file for a better experience

• {countrycode} 1.5.0: Standardize country names, convert them into one of 40 different coding schemes, convert between coding schemes, and assign region descriptors

Videos and Podcasts

• Listen to the R-Weekly Highlights Podcast

• Shiny Markdown Report - TidyX Episode 147

R Internationally

• Bruno Rodrigues défend une approche basée sur la reproductibilité de la data science au Luxembourg

Tutorials

• How to make fancy road trip maps with R and OpenStreetMap: Use R to get geocoded location and routing data from OpenStreetMap and explore a 5,000 mile road trip around the USA

• Making a Simple Package in R using Modern Tools: a quick guide on how to build a package very quickly (with dependencies) using devtools, usethis, and roxygen2.

• Extract P-Values from lm() in R: Empower Your Data Analysis

• Checking normality in R

• Static and Dynamic Web Scraping with R

• Dumbbell Chart with a Gap Column

• Simulating confounders, colliders and mediators

• New in {gt} 0.9.0: Interactive tables

R Project Updates

Updates from R Core:

R Contributor Office Hours, Thursday June 8: Europe/Middle East/Asia-Pacific Hour or Americas Hour

Join an online Office Hour at the time that suits you to:

• discuss how to get started contributing to R
• get help/feedback on contributions you are working on
• look at open bugs/work on translations together

Upcoming Events in 3 Months

Events in 3 Months:

• A list of R conferences and meetings

• This week’s local R-User and applied stats events

• Weekly R Workshops for Ukraine

• R Medicine 2023 - June 5-9th, 2023

• Access and Analyze the New 2020 Decennial Census Data - June 15th, 2023

• Mapping and Spatial Analysis with the 2020 Decennial Census - June 22th, 2023

• Building reproducible analytical pipelines in R workshop - June 29th, 18:00-20:00 CEST

Jobs

💼 Explore Jobs & Gigs Board on RStudio Community 💼

rtistry

In the world of #dataviz sometimes art meets science! 🖌👩‍🔬

We plotted parrot data in the ALA to celebrate #WorldParrotDay 🦜 using the dominant plumage shades for each genus 🌈 and created some accidental art in the process!

Watch out Monet ‍🎨 @accidental_aRt#rstats #Rtistry pic.twitter.com/Bbxzv87L1A

— Atlas of Living Aust (@atlaslivingaust) May 31, 2023

My new map shows the % people who never accessed the Internet in 2022 😱😱😱#RStats #DataScience #dataviz #maps #gischat #digital #Internet pic.twitter.com/VKS6jGD3mS

— Milos Popovic (@milos_agathon) May 31, 2023

A #dataviz about the distribution of farm animals in France#Rstats code: https://t.co/t8RszXllYU pic.twitter.com/UFwujzbVB1

— Benjamin Nowak (@BjnNowak) June 2, 2023

Quotes of the Week

I'm building a #Rstats #ShinyApp to visualize the spatial distribution of sea otter foraging observations (black dots) and kelp canopy (heatmap) cover along the Monterey Peninsula. This #dataviz integrates published Landsat data with on-the-ground otter foraging observations. pic.twitter.com/ZLgvFIvHf4

— Joshua G. Smith (@Smith_JoshuaG) June 2, 2023