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R Weekly 2019-05 BBC, Arduino
Release Date: 2019-02-04
Highlight
Insights
R in the Real World
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Text classification in R using keras and udpipe based workflow
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The dominance of running backs for Wisconsin football explored using rvest and ggplot2
R in Organizations
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Announcing new software peer review editors: Melina Vidoni and Brooke Anderson
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How the BBC Visual and Data Journalism team works with graphics in R
Resources
New Packages
CRAN
- ruimtehol - Neural Text Modelling with R package ruimtehol
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readsdmx - read SDMX data into dataframe objects
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vegawidget - render Vega-Lite and Vega specifications as htmlwidgets
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recogeo - reconcile changing geographies boundaries (and corresponding variables)
GitHub or Bitbucket
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politicaldata - acquiring and analyzing political data
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tidylog - feedback for basic dplyr operations
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arduinor - An easy way to get arduino data into R
Updated Packages
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littler 0.3.6 - command-line interface for R
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homebrewanalytics 0.2.0 - Access Homebrew Formulae Analytics Data
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benchmarkme 1.0.0 - Benchmark your system and compare with others
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urlscan 0.2.0 - An interface to the urlscan.io API
Tutorials
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Quick Hit: Using seymour to Subscribe to your Git Repo Issues in Feedly
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Half a dozen frequentist and Bayesian ways to measure the difference in means in two groups
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Tutorial: Sequential Pattern Mining in R for Business Recommendations
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R Markdown: 3 sources of reproducibility issues and options how to tackle them
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Visualize geographical areas around points of interest with leaflet
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Benchmarking an Rstats workstation on realistic workloads - using xgboost via h2o
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Enhancing gather() and spread() by Using “Bundled” data.frames
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
Okay finally got the box-and-whiskers workflow going smoothly. #Rstats #rcats pic.twitter.com/YoCBZDy1zc
— Jasmine Hughes (@Jas_Hughes) January 31, 2019
Rich people think they are middle class. No one believes to belong to the Top 10% in Austria.
— Matthias Schnetzer (@matschnetzer) February 2, 2019
Thanks to the #rstats-Community for these excellent packages #dplyr #ggplot2 #gganimate @hadleywickham @thomasp85 cc @dataandme
R-Code for the graph: https://t.co/lRyaEvpWec pic.twitter.com/eNJ4rTpAMZ
😮 Neat lil' package by Benjamin Elbers…
— Mara Averick (@dataandme) January 31, 2019
📦 "tidylog: provides feedback about basic dplyr operations"
GH repo: https://t.co/V5VWgjEiPH #rstats
community thread: https://t.co/CJbwYk5KWP pic.twitter.com/1xqnacsdBz