R Weekly 2020-03, Rprofile, Feller's coin
Release Date: 2020-01-20
This week’s release was curated by Jon Calder, with help from the R Weekly team members and contributors.
Highlights
Insights
R in the Real World
R in Academia
Resources
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“Tidy data” chapter of “R for Data Science” now using
tidyr::pivot_wider()
andtidyr::pivot_longer()
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Introduction to R - This repository contains the documentation, background material, scripts, and data for a tutorial on the Introduction to R. This introductory workshop is greared towards people with a interest/ background in geography and environmental science.
New Packages
CRAN
GitHub or Bitbucket
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lemis - R package providing access to data on wildlife imports into the United States
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ddd - A Realistic Guide to Making Data Available Alongside Code to Improve Reproducibility.
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ggridges - Ridgeline plots in ggplot2
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ggrough - ggrough is an R package that converts your ggplot2 plots to rough/sketchy charts, using the excellent javascript roughjs library.
Updated Packages
Videos and Podcasts
R Internationally
Tutorials
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Introducing googleCloudRunner - serverless R on Google Cloud Platform
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How to reverse engineer a heat map into its underlying values
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Convert Apple Card PDF Statements to Tidy Data (i.e. for CSV/Excel/database export)
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No Framework, No Problem! Structuring your project folder and creating custom Shiny components
R Project Updates
Updates from R Core:
Upcoming Events in 3 Months
Events in 3 Months:
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Thinking about rstudio::conf 2020? See the full conference schedule!
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LondonR & R-Ladies to host ‘watch party’ at RStudio Conference, Jan 29th
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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.
Jobs
Data Scientist position at RStudio
Call for Participation
Quotes of the Week
A thread of classifiers learning a decision rule. Dashed line is optimal boundary. Animations with #gganimate by @thomasp85 and @drob. #rstats
— Ryan Holbrook (@ryanpholbrook) January 18, 2020
Logistic regression {stats::glm} with each class having normally distributed features. (1/n) pic.twitter.com/kKmqdO2zGy
Excited to say that #spotifyr has officially made its way into the @Spotify app! This week we launched an A/B test featuring data pulled straight from #spotifyr https://t.co/9xuCsSA6zj#rstats #DataScience
— Charlie Thompson (@_RCharlie) January 17, 2020