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R Weekly 2019-31 recover(), Facebook political ads, TokyoR
This week’s release was curated by Ryo Nakagawara, with help from the RWeekly team members and contributors.
Release Date: 2019-08-05
Highlight
Insights
R in the Real World
R in Organizations
R in Academia
Resources
New Packages
CRAN
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{mlr3 0.1.1}: Efficient, Object-oriented Programming on the Building Blocks of Machine Learning
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{paradox 0.1.0}: Define and Work with Parameter Spaces for Complex Algorithms
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{idmodelr 0.3.0}: Infectious Disease Model Library and Utilities
GitHub or Bitbucket
Updated Packages
Videos and Podcasts
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R-Podcast Episode 31 - Data Science Education with R: Eric shares insights gained from the JSM 2019 conference and is joined by RStudio’s education team members Alison Hill & Mine Cetinkaya-Rundel to discuss new ideas for teaching data science effectively, as well as how tools like R-Markdown are opening many new possibilities for both students and teachers.
Tutorials
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How to embed Excel-like Spreadsheet Table in RMarkdown with {excelR}
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A History of Polar Area / Coxcomb / Rose charts & how to make them in R’s {ggplot2}
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From H2O to POJO Models: Getting Started with a Minimal Example
R Project Updates
Updates from R Core:
Upcoming Events in 3 Months
Events in 3 Months:
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Mexico CDSB Workshop 2019, July 29 - August 2 - How to Build and Create Tidy Tools
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LatinR 2019, Santiago de Chile, September 25 - 27 - Latinamerican Conference About the Use of R in R&D
More past events at R conferences & meetups.
Datasets
Call for Participation
Quotes of the Week
I’m so excited to see my friend and colleague @hadleywickham honored with the 2019 COPSS award at #JSM2019 #rstats 👏👏👏 pic.twitter.com/sqc2nBqoXt
— Jenny Bryan (@JennyBryan) July 31, 2019
This is wild. Solomon Kurz has “ported” @rlmcelreath _Statistical Rethinking_ to use brms & Tidyverse. And made the ported book open source. #rstats https://t.co/NcklzifvDH Statistical Rethinking with brms, ggplot2, and the tidyverse - bookdown
— JD Long (@CMastication) July 28, 2019
Windows #rstats users: did you know make screenshots directly from R on Windows using image_read("screenshot:") in the magick package? Make them extra fancy with the new image_shadow() function. pic.twitter.com/ZxakavszRL
— Jeroen Ooms (@opencpu) July 27, 2019