R Weekly 2020-31 shiny modules, exploring data, rstudio::global()

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Hello and welcome to this new issue!

Release Date: 2020-08-03

This week’s release was curated by Jonathan Carroll, with help from the RWeekly team members and contributors.

• How to have (my) content shared by R Weekly?

Highlight

• A beginner’s guide to Shiny modules
• What if exploring data in R is just one line of code?
• rstudio::global() call for talks until August the 14th

Insights

• How I share knowledge around R Markdown
• Windows/UTF-8 Build of R and CRAN Packages
• Parallelized sampling using exponential variates
• {shinydisconnect}: Show a nice message when a Shiny app disconnects or errors

• Create a publication-ready correlation matrix, with significance levels, in R
• Network Analysis: Who is the Most Important Influencer?
• 3 Wild-Caught R and Python Applications
• Announcing Glosario
• The History of R (updated for 2020)
• June 2020: “Top 40” New CRAN Packages
• Get started with tidymodels and #TidyTuesday Palmer Penguins
• Release the penguins
• Raybonsai: Generate Procedural 3D Trees in R

• evaluating vector space models with word analogies
• Aligning the Dots On COVID Prison Waffles
• Building Complex SQL Queries with R
• Interrupted times series analysis of gabapentinoid prescriptions in England using piecewise regression.
• 12 R Markdown Tips, Tricks, and Shortcuts
• A beginner’s guide to Shiny modules
• Dark Mode and more improvements to CRAN as a userscript
• A dashboard of secured shiny apps.
• What if exploring data in R is just one line of code?

• {fabricerin}: Taking notes / drawing within RMarkdown documents and Shiny apps
• Can I host my R packages on npm? (Spoiler: yes)

R in Academia

• A review of my experience with the Big Data Analysis with Scala and Spark course

Resources

• ggplot2 aesthetics cheat sheet

• Epidemiological analysis with R

New Packages

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

• New version of pqR, with automatic differentiation and arithmetic on lists

CRAN

• {assertive.reflection} 0.0-5: Assertions for Checking the State of R
• {bsub} 1.0.0: Submitter and Monitor of the ‘LSF Cluster’
• {faq} 0.1.0: Create FAQ Page
• {AEenrich} 1.0.0: Adverse Event Enrichment Tests
• {ascii} 2.3: Export R Objects to Several Markup Languages
• {runonce} 0.2.2: Run Once and Save Result

GitHub or Bitbucket

• {glossario}: A Multilingual Glossary
• {lz4lite}: extremely fast compression with LZ4
• {fabricerin}: Taking notes / drawing within RMarkdown documents and Shiny apps
• {ggkeyboard}: Make a keyboard using ggplot2
• {corrmorant}: R package for flexible correlation matrices based on ggplot2
• {highlighter}: A simple shiny app for highlighting text

Updated Packages

• {bubblyr} 0.1.2: Beautiful Bubbles in Shiny and RMarkdown Backgrounds
• {anytime} 0.3.8: Minor Maintenance
• {ttdo} 0.0.6: Bugfix
• {brms} 2.13.5: Bayesian Regression Models using ‘Stan’
• {tidyr} 1.1.1: Tidy Messy Data
• {dplyr} 1.0.1: A Grammar of Data Manipulation
• {crul} 1.0.0: HTTP Client
• {foghorn} 1.2.3: Summarize CRAN Check Results in the Terminal
• {bit64} 4.0.2: A S3 Class for Vectors of 64bit Integers
• {srvyr} 0.4.0: ‘dplyr’-Like Syntax for Summary Statistics of Survey Data
• {ckanr} 0.5.0: Client for the Comprehensive Knowledge Archive Network (‘CKAN’) API
• {gistr} 0.9.0: Work with ‘GitHub’ ‘Gists’
• {primes} 1.0.0: Generate and Test for Prime Numbers
• {shinycssloaders} 1.0.0: Add Loading Animations to a ‘shiny’ Output While It’s Recalculating
• {badger} 0.0.8: Badge for R Package
• {ttdo} 0.0.6: Extend ‘tinytest’ with ‘diffobj’
• {RBNZ} 1.1.0: Download Data from the Reserve Bank of New Zealand Website
• {journalabbr} 0.2.1: Journal Abbreviations for BibTeX Documents
• {listdown} 0.2.21: Create R Markdown from Lists
• {ropenaq} 0.2.10: Accesses Air Quality Data from the Open Data Platform OpenAQ
• {rstan} 2.21.2: R Interface to Stan
• {TMB} 1.7.18: Template Model Builder: A General Random Effect Tool Inspired by ‘ADMB’
• {highcharter} 0.8.2: A Wrapper for the ‘Highcharts’ Library
• {survminer} 0.4.8: Drawing Survival Curves using ‘ggplot2’
• {rvest} 0.3.6: Easily Harvest (Scrape) Web Pages
• {robotstxt} 0.7.8: A ‘robots.txt’ Parser and ‘Webbot’/’Spider’/’Crawler’ Permissions Checker
• {arrow} 1.0.0: Integration to ‘Apache’ ‘Arrow’
• {broomExtra} 4.0.4: Enhancements for ‘broom’ and ‘easystats’ Package Families
• {tsibble} 0.9.2: Tidy Temporal Data Frames and Tools
• {xfun} 0.16: Miscellaneous Functions by ‘Yihui Xie’
• {data.table} 1.13.0: Extension of data.frame
• {anytime} 0.3.8: Anything to ‘POSIXct’ or ‘Date’ Converter

Videos and Podcasts

• R Programming for Beginners: Functions

R Internationally

• (Japanese) CRANを見据えるならパッケージの機能が最小限の内に送ってしまえ
• (German) data.table vs. dplyr und dtplyr: Benchmarks

Tutorials

• Data cleaning and exploration with data.table
• Can I host my R packages on npm? (Spoiler: yes)
• Journey through DB Connect installation hell
• 2020 La Liga Table
• State-of-the-art NLP models from R
• How to create PowerPoint reports with R
• Building A Neural Net from Scratch Using R - Part 2
• DBScan Clustering in R: Tutorial
• Testing interactive functions

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

• A list of R conferences and meetings
• This week’s local R-User and applied stats events
• Why R? 2020 (Remote 24-27 Sept) Conference
• Beyond Case Counts: Making COVID-19 Clinical Data Available and Useful. Thurs, August 13th, 9am PDT/12pm EDT/18:00 CEST

Datasets

• {fec16} 0.1.0: Data Package for the 2016 United States Federal Elections
• {GermaParl} 1.5.1: Download and Augment the Corpus of Plenary Protocols of the German Bundestag
• {covidregionaldata} 0.5.0: Subnational Data for the Covid-19 Outbreak

Call for Participation

• rstudio::global() call for talks until August the 14th
• Why R? 2020 (Remote 24-27 Sept) registration - 2020.whyr.pl

Your support will keep R Weekly team moving! ????

Quotes of the Week

Progress update: now plotting 1000 animated, alpha-blended circles, in a 1000x1000 window, with mouse interaction influencing rendering

All being run from an event-loop in #RStats

Renders at ~60fps. Attached vid is a realtime screen capture. @oranwutan pic.twitter.com/EAVQ8hbXM0

— mikefc (@coolbutuseless) July 29, 2020

Woo! found a great way to display uncertainties for all these estimates.

Argh, they are all quite uncertain. pic.twitter.com/bdw57DGrub

— Noam Ross (@noamross) July 28, 2020

Feel free to use this #ggplot2 cheat sheet to quickly find the right aesthetics for your geoms.

Feedback and improvements welcome #rstatshttps://t.co/WmuAC5i5rx pic.twitter.com/0e83VRpvYH

— Christian Burkhart (@ChBurkhart) July 26, 2020

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