R Weekly 2021-W35 top 40 packages, R Markdown, colored wold map
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
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New Bundesliga Forecasting Tool: Can Underdog Herta Berlin beat Bayern Munich?
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Wildfires Comparison with ggplot2 dual Y-axis and Forecasting with KNN
Resources
New Packages
CRAN
- {text2map} 0.1.0: R Tools for Text Matrices, Embeddings, and Networks
- {paws.end.user.computing} 0.1.12: ‘Amazon Web Services’ End User Computing Services
- {paws.developer.tools} 0.1.12: ‘Amazon Web Services’ Developer Tools Services
- {wildviz} 0.1.2: Compiles and Visualizes Wildfire, Climate, and Air Quality Data
- {openSkies} 1.1.4: Retrieval, Analysis and Visualization of Air Traffic Data
- {sClust} 1.0: R Toolbox for Unsupervised Spectral Clustering
GitHub or Bitbucket
- Introducing {smallfactor} - a space-saving factor backed by a raw vector (instead of integers)
- flexo: Simple Lex/Parse Tools in R
Updated Packages
- waldo 0.3.0
- {htmltools} 0.5.2: Tools for HTML
- {hdf5r} 1.3.4: Interface to the ‘HDF5’ Binary Data Format
- {vapour} 0.8.0: Lightweight Access to the ‘Geospatial Data Abstraction Library’ (‘GDAL’)
- {stringi} 1.7.4: Character String Processing Facilities
- {brms} 2.16.1: Bayesian Regression Models using ‘Stan’
Videos and Podcasts
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Shiny Developer Series: User-experience refinements for {shinycal}!
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R Markdown Advanced Tips to Become a Better Data Scientist & RStudio Connect With Tom Mock
Tutorials
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Modeling human/computer interactions on Star Trek from #TidyTuesday with workflowsets
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Building an R Markdown website: How to get all your knitted .Rmd files onto a website really fast!
R Project Updates
Updates from R Core:
Upcoming Events in 3 Months
Events in 3 Months:
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8 reasons to come to EARL Conference online 2021: Sep. 6-10, 2021
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Mastering Git and GitHub: the hands-on workshop: Sep. 22, 2021
Call for Participation
Datasets
Quotes of the Week
By Request @mdsumner
— mikefc (@coolbutuseless) August 28, 2021
> num_to_words(-2^64)
[1] "negative eighteen quintillion four hundred and forty six quadrillion seven hundred and forty four trillion seventy three billion seven hundred and nine million five hundred and fifty one thousand six hundred and sixteen#RStats pic.twitter.com/xOysQ3D3t3
Frankenstein is a cautionary tale about a guy who creates and deploys a decision-making neural network without ethical consideration, then abdicates all responsibility when he realizes how bad his architecture is and that real-world implementation was way messier than expected.
— Caitlin Hudon 👩💻 (@beeonaposy) August 26, 2021