R Weekly 2019-22 CRAN policies, Package maintenance, GAMs in R
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Hello and welcome to this new issue!
This week’s release was curated by Ryo Nakagawara, with help from the RWeekly team members and contributors.
Highlight
Insights
R in the Real World
R in Academia
Resources
New Packages
CRAN
see: Visualisation Toolbox for ‘easystats’ and Extra Geoms, Themes and Color Palettes for ‘ggplot2’
ggResidpanel: Panels and Interactive Versions of Diagnostic Plots using ‘ggplot2’
GitHub or Bitbucket
felp: An R package to display source and help of a function simultaneously
annotater: Annotate package load calls in strings and R scripts
Updated Packages
Videos and Podcasts
Tutorials
Upcoming Events in 3 Months
Events in 3 Months:
More past events at R conferences & meetups.
Call for Participation
Quotes of the Week
?️ ?HAPPY PRIDE MONTH! ?️ ?Fun fact: I made my rainbow Twitter banner using R! Here's the code I wrote to make it - let's paint the #rstats Twitter feed rainbow! ? @R_LGBTQ https://t.co/S8FIFgviJu pic.twitter.com/lyZKKNz5zf
— Ben Ackerman (@backerman150) June 1, 2019
In this week's #tidytuesday screencast, I use linear models and lasso regression to predict wine ratings based on price, country, & description?
— David Robinson (@drob) May 31, 2019
This was a fun example of using tidytext + glmnet together, as well as interpreting models with broom https://t.co/XdnIUptOt9 #rstats pic.twitter.com/zeN2aYiEkq
ggplot() + geom_antman() ???
— Tyler Morgan-Wall (@tylermorganwall) May 30, 2019
(Almost done generating figures for the blog post releasing #rayshader's 3D ggplots #rstats) pic.twitter.com/a7UOaYLIyY
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