R Weekly 2019-12 Pivoting, Parliament, brickr
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Hello and welcome to this new issue!
Highlight
R data.table case study (tutorial) for World Bank “Women in Parliament” data.
brickr - 3D LEGO models and mosaics from images using R and #tidyverse
Videos and Podcasts
- R-Podcast Episode 29 (Chicago R Unconference): Eric visits the first-ever Chicago R Unconference and recaps the excellent projects and shares his perspective as a first-time unconference attendee.
Insights
R in the Real World
Resources
gganimate - The grammar of animation
New Packages
CRAN
- ggpomological - A Pomological ggplot2 Theme Garrick Aden-Buie
GitHub or Bitbucket
ggecho - an experimental ggplot stat for blurring elements
renv - Project environments for R.
brickr - 3D LEGO models and mosaics from images using R and #tidyverse
Updated Packages
- pointdexter 0.1.1 - Labels longitudinal and latitudinal coordinates located inside a polygon
doFuture 0.8.0 - A Universal Foreach Parallel Adapter using the Future API of the ‘future’ Package
R Internationally
Tutorials
Pivoting data frames just got easier thanks to
pivot_wide()
andpivot_long()
The new Jobs pane in the RStudio 1.2 Preview lets you run your R scripts in the background.
awtools - Visualizing Natural Disaster Cost
How to create professional reports from R scripts, with custom styles.
Introducing the analemmatic Package for Creating Analemmatic Sundials
Why we Did Not Name the cdata Transforms wide/tall/long/short
R Project Updates
Updates from R Core:
Upcoming Events in 3 Months
Events in 3 Months:
More past events at R conferences & meetups.
Call for Participation
Quotes of the Week
Please help me figure out good names for the new pivot verbs in tidyr by filling out this (very short!) survey: https://t.co/cJ0GM1VZ1H #rstats
— Hadley Wickham (@hadleywickham) March 22, 2019
{brickr} updated so it's easier to program your own 3D models. Even better... you can now do machine learning with LEGO & #brickr. Here's a random forest model! #rstats #rayshader https://t.co/vBK0A70PTl pic.twitter.com/Mi31sYX3F8
— Ryan Timpe ?? (@ryantimpe) March 22, 2019
Hey there #RStats folks, everybody makes mistakes and R is not famous for its clear error messages... So I've started a little package to help with that: https://t.co/boy2S3VuYR
— Colin Fay ? (@_ColinFay) March 21, 2019
Feel free to add your own errors and messages! https://t.co/auh5OUTbuP pic.twitter.com/xVMKAoDjOW
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