R Weekly 2019-35 feasts, Tidy Tuesday, NYT

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Hello and welcome to this new issue!

Highlight

• NYT-style urban heat island maps

• {feasts}: Feature extraction and statistics for time series

• #TidyTuesday Screencast: The Simpsons guest stars - David Robinson

• R Consortium Community Grants and Sponsorships Top USD $1,000,000

Insights

• Using rOpenSci Software Peer Review Guidelines for Teaching

• It is Time for CRAN to Ban Package Ads

• Why R?

• So, how come we can use TensorFlow from R?

R in the Real World

• NYT-style urban heat island maps

• Geographic projections and transformations

• A tutorial for tidying UK Office for National Statistics data files for use in R

• How tennis has changed over time

• Bigram Analysis of Democratic Debates

• Building a Recommender System with Beer Data

R in Organizations

• rstudio::conf(2020) Diversity and international scholarships

• R Consortium Community Grants and Sponsorships Top USD $1,000,000

R in Academia

• Studying Politics on and with Wikipedia Workshop - Denis Cohen, Nick Baumann, & Simon Munzert

• nflWAR: a reproducible method for offensive player evaluation in football- Yurko, R., Ventura, S. & Horowitz, M. (2019). nflWAR: a reproducible method for offensive player evaluation in football. Journal of Quantitative Analysis in Sports, 15(3), pp. 163-183.

Resources

• #TidyTuesday Shiny App

• R Journal July Issue

New Packages

???? Go Live for More New Pkgs ????

CRAN

• July 2019 “Top 40” R Packages

• {ggrapid}: Create neat & complete ggplot visualizations with as little code as possible

• {santoku}: versatile cutting tool for R

• {feasts}: Feature extraction and statistics for time series

GitHub or Bitbucket

• {RecodeReorder}: RStudio addin for interactively renaming, collapsing and reordering factor levels

• {Polished}: adds modern authentication to Shiny

Updated Packages

• {gmailr 1.0.0}

• {ggstatsplot 0.1.1}

• {textdata 0.3.0}

• {covr 3.3.1}

• {lumberjack 1.0.1}

• {anytime 0.3.6}

• {regtools}

• {RSwitch 1.4.0}

Videos and Podcasts

• #TidyTuesday Screencast: The Simpsons guest stars - David Robinson

• The TidyTuesday Podcast (Episode 1): The Simpsons data set

• So You Want to Start a Podcast

Gist & Cookbook

• Tom’s Cookbook for Better Viz: How to improve your {nflscrapR} graphics

R Internationally

• (Japanese) Rでtweetをテキストマイニング：ワードクラウドと共起ネットワーク

Tutorials

• Combining the power of R and Python with reticulate

• Flipbook: Simpsons’ Guest Appearances are Growing (Adaptation of Gil Henriques’ Simpsons Plot), by Evangeline Reynolds

• Messi and Barcelona Dataviz Walkthrough: Scoring Involvement, Goal Sequences, Evolving Pass Networks and more

• Practice using lubridate… THEATRICALLY

• You can replicate almost any plot with R

• Introducing data_algebra

• Visualizing the relationship between multiple variables

• Maximum likelihood estimation from scratch

• RMarkdown Template that Manages Academic Affiliations – docx or PDF output

• CASA summer school on geographic data

• Securing Shiny apps with AWS Cognito authentication

• R, Docker and Checkpoint: A Route to Reproducibility

• Explaining Predictions: Random Forest Post-hoc Analysis (randomForestExplainer package)

• Tidy time series data using tsibbles

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

• R/Medicine 2019, September 12 - 14

• LatinR 2019, Santiago de Chile, September 25 - 27 - Latinamerican Conference About the Use of R in R&D

• Why R? 2019 Conference - Warsaw 26-29 September 2019

• rOpenSci OzUnconf (Sydney, Australia), December 11 - 13 2019

• A list of R conferences and meetings

• This week’s local R-User and applied stats events

More past events at R conferences & meetups.

Call for Participation

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