R Weekly 2020-07 Code Generation, TidyDevDay, Open Health Analytics
Highlight
Videos and Podcasts
Insights
R in the Real World
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Using Machine Learning Techniques to Explain Employee Promotion Process
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Machine Learning (XGBoost) Time-Series Classification Trading Strategy
R in Organizations
Resources
New Packages
📦 Go Live for More New Pkgs 📦
CRAN
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themis - implements a collection of new steps for the recipes package to deal with unbalanced data
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unheadr - Handle Data with Messy Header Rows and Broken Values
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slider - slider provides a family of general purpose sliding window functions
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RcppSimdJson - Rcpp Bindings for the simdjson Header Library
GitHub or Bitbucket
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{golgotha}: Contextualised Embeddings and Language Modelling using BERT and Friends using R
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{crsuggest}: Get appropriate CRS suggestions for your spatial data in R
Updated Packages
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RProtoBuf 0.4.15 - One fix, some updates, depcrecation coming
R Internationally
Tutorials
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The significance of the sector on the salary of engineers in Sweden
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The One Question you should ask your Partner before Marrying!
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Monitoring for Changes in Distribution with Resampling Tests
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taxadb: A High-Performance Local Taxonomic Database Interface
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The complete guide to clustering analysis: k-means and hierarchical clustering by hand and in R
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Dynamic discrete choice models, reinforcement learning and Harold, part 2
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Book release - Analyzing Financial and Economic Data with R (2º edition)
R Project Updates
Updates from R Core:
Upcoming Events in 3 Months
Events in 3 Months:
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Time-to-Event Analytics: Probabilistic Programming with R and Stan (Malmö, Sweden), March 31
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satRday Newcastle upon Tyne, April the 4th, Call for speakers for #satRdayNCL closes 31st Jan.
More past events at R conferences & meetups.
Call for Participation
Quotes of the Week
Some personal stats since I started grad school 4.5 years ago:
— Jacob Kaplan (@JacobKaplan19) February 10, 2020
Papers published: 2
Citations: 2
Data sets released: 15
Downloads: ~3300
Citations: 7#rstats packages: 5
Downloads: ~130k
Unfortunately, I think most academics stop reading after the first line.
The #rstats custom #shiny input binding saga continues! I thought using an SVG as an input was exciting, well that was just JS -> R. Now I used R -> JS to bind the values from a data frame to the colors of the SVG! FULL CIRCLE BABY! [Shout out @grrrck's #JS4Shiny workshop 🥰] pic.twitter.com/Is2XtjWGNO
— Maya Gans (@Mayacelium) February 14, 2020