R Weekly 2023-W06 Map learnings, old R, dplyr joins
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Hello and welcome to this new issue!
This week’s release was curated by Tony ElHabr, with help from the R Weekly team members and contributors.
Highlight
Insights
R in the Real World
R in Organizations
R in Academia
New Packages
CRAN
{happign} 0.1.8: Easy access to all French geodata from IGN (National Institute of Geographic)
{RcppArray} 0.2.0: ‘Rcpp’ Meets ‘C++’ Arrays
{roads} 1.1.0: Road Network Projection
Updated Packages
{RInside} 0.2.18: C++ Classes to Embed R in C++ (and C) Applications - diffify
{visdat} 0.6.0: Preliminary Visualisation of Data - diffify
{tidybayes} 3.0.3: Tidy Data and ‘Geoms’ for Bayesian Models - diffify
{shapviz} 0.5.0: SHAP Visualizations - diffify
{kernlab} 0.9-32: Kernel-Based Machine Learning Lab - diffify
Videos and Podcasts
Tutorials
Dynamite for Causal Inference from Panel Data using Dynamic Multivariate Panel Models
Diverging Lollipop Chart: A Visual Tool for Comparing Data with {healthyR}
Continuity Corrections: Imperfect Responses to Slight Problems
R Project Updates
Updates from R Core:
Upcoming Events in 3 Months
Events in 3 Months:
Jobs
💼 Explore Jobs & Gigs Board on RStudio Community 💼
Quotes of the Week
Collaborating with others be like#rstats pic.twitter.com/q6GY2m8w7b
— Mattan S. Ben-Shachar (@mattansb) February 3, 2023
heck yes {kableExtra} makes fantastic tables #rstats
— Andrew Heiss (🐘 @[email protected]) (@andrewheiss) February 1, 2023
(documentation and examples here: https://t.co/VflhAyReXJ) pic.twitter.com/9Qd9vawGSL
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