R Weekly 2020-40 learnr tutorials, visual markdown editing, stat_layers

05 Oct 2020

Release Date: 2020-10-05

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?

Highlights

• How to deliver learnr tutorials in a package

• RStudio v1.4 Preview: Visual Markdown Editing

• Demystifying stat_layers in {ggplot2}

Insights

• Using redo to manage R data analysis workflow

• Getting familiar with torch tensors

• Mapping congressional roll calls

• Le Monde puzzle #1157

• New Polished Feature - User Roles

• RStudio v1.4 Preview: Visual Markdown Editing

• sparklyr 1.4: Weighted Sampling, Tidyr Verbs, Robust Scaler, RAPIDS, and more

• Rectifying Hand-Drawn Marks on Maps With the mapscanner Package

• Introducing torch for R

• {usemodels} 0.0.1

• Permuted block randomization using simstudy

• How to deliver learnr tutorials in a package

• Building apps with {shinipsum} and {golem}

• Running an R Script on a Schedule: Docker Containers on gitlab

• A map of commuter patterns in the U.S. northeast using Flowmap.blue.

• “package ‘foo’ is not available” - What to do when R tells you it can’t install a package

• Switch BLAS/LAPACK without leaving your R session

• Forecasting lung disease progression

• metallicaRt

• Walk the Walk

Teaching (with) R

• How to deliver learnr tutorials in a package

Resources

• Introducing the creature package. Interactive Animations in Rmd Documents and Shiny Apps

• US lawmakers on Twitter: a collection of resources

• Sample Shiny exam

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• Exciting updates to my top 4 Shiny packages

• {usemodels} 0.0.1: Boilerplate Code for ‘Tidymodels’ Analyses

• {mapchina} 0.1.0: Geospatial shapefile (vector data) of China administrative divisions to the county/district-level

• {pkgKitten} 0.2.0: Now with tinytest and new docs

• {tsibbletalk} 0.1.0: Interactive Graphics for Tsibble Objects

• {epitweetr} 0.1.20: Early Detection of Public Health Threats from Twitter Data

• {sccore} 0.1.0: Core Utilities for Single-Cell RNA-Seq

• {robservable} 0.2.0: Import an Observable Notebook as HTML Widget

• {rintimg} 0.1.0: View Images on Full Screen in ‘RMarkdown’ Documents and ‘shiny’ Applications

• {prettifyAddins} 0.1.0: ‘RStudio’ Addins to Prettify ‘HTML’, ‘CSS’, ‘JavaScript’, and More

• {covid19br} 0.1.0: Brazilian COVID-19 Pandemic Data

• {wordpressr} 0.1.1: An API Wrapper for WordPress Site APIs

• {triangulr} 1.0.0: High-Performance Triangular Distribution Functions

• {medrxivr} 0.0.3: Access and Search MedRxiv and BioRxiv Preprint Data

• {htmldf} 0.1.0: Simple Scraping and Tidy Webpage Summaries

• {rle} 0.9.2: Common Functions for Run-Length Encoded Vectors

GitHub or Bitbucket

• {creature} 0.1.0: Interactive Animations in Rmd Documents and Shiny Apps

• {rsthemes} 0.1.0: 🔮 Full Themes for RStudio v1.2+

Updated Packages

• {meta} 4.15-0: General Package for Meta-Analysis

• {h2o} 3.30.1.3: R Interface for the ‘H2O’ Scalable Machine Learning Platform

• {pinp} 0.0.10: More Tweaks

• {covid19.analytics} 2.0: Load and Analyze Live Data from the CoViD-19 Pandemic

• {Deriv} 4.0.1: Symbolic Differentiation

• {keyToEnglish} 0.2.0: Convert Data to Memorable Phrases

• {ggvis} 0.4.6: Interactive Grammar of Graphics

• {broom} 0.7.1: Convert Statistical Objects into Tidy Tibbles

• {otpr} 0.4.2: An R Wrapper for the ‘OpenTripPlanner’ REST API

• {JuliaConnectoR} 0.6.2: A Functionally Oriented Interface for Integrating ‘Julia’ with R

• {openair} 2.7-6: Tools for the Analysis of Air Pollution Data

• {cpp11} 0.2.2: A C++11 Interface for R’s C Interface

• {nptest} 1.0-2: Nonparametric Bootstrap and Permutation Tests

• {webmockr} 0.7.0: Stubbing and Setting Expectations on ‘HTTP’ Requests

• {vroom} 1.3.2: Read and Write Rectangular Text Data Quickly

• {rmarkdown} 2.4: Dynamic Documents for R

• {minidown} 0.0.2: Create Simple Yet Powerful HTML Documents with Light Weight CSS Frameworks

• {RSQLite} 2.2.1: ‘SQLite’ Interface for R

• {duckdb} 0.2.1-2: DBI Package for the DuckDB Database Management System

• {tidytable} 0.5.6: Tidy Interface to ‘data.table’

• {gtsummary} 1.3.5: Presentation-Ready Data Summary and Analytic Result Tables

• {systemfonts} 0.3.2: System Native Font Finding

• {gtfsrouter} 0.0.4: Routing with GTFS (General Transit Feed Specification) Data

• {readxlsb} 0.1.4: Read ‘Excel’ Binary (.xlsb) Workbooks

• {xfun} 0.18: Miscellaneous Functions by ‘Yihui Xie’

• {modelsummary} 0.6.2: Summary Tables and Plots for Statistical Models and Data: Beautiful, Customizable, and Publication-Ready

• {polished} 0.2.0: Authentication and Administration for ‘shiny’ Apps

• {feedeR} 0.0.10: Read RSS, Atom and RDF Feeds

• {av} 0.5.1: Working with Audio and Video in R

• {torch} 0.1.0: Tensors and Neural Networks with ‘GPU’ Acceleration

• {tidycensus} 0.10.2: Load US Census Boundary and Attribute Data as ‘tidyverse’ and ‘sf’-Ready Data Frames

• {modeltime} 0.2.0: The Tidymodels Extension for Time Series Modeling

• {RPostgres} 1.2.1: ‘Rcpp’ Interface to ‘PostgreSQL’

• {fakemake} 1.8.0: Mock the Unix Make Utility

• {packager} 1.5.0: Create, Build and Maintain Packages

• {survival} 3.2-7: Survival Analysis

• {quantreg} 5.73: Quantile Regression

• {bomrang} 0.7.1: Australian Government Bureau of Meteorology (‘BOM’) Data Client

• {shinybusy} 0.2.2: Busy Indicator for ‘Shiny’ Applications

• {esquisse} 0.3.1: Explore and Visualize Your Data Interactively

• {pkgKitten} 0.2.0: Create Simple Packages Which Do not Upset R Package Checks

• {Seurat} 3.2.2: Tools for Single Cell Genomics

• {cyclestreets} 0.3.0: Cycle Routing and Data for Cycling Advocacy

• {matrixStats} 0.57.0: Functions that Apply to Rows and Columns of Matrices (and to Vectors)

• {jrc} 0.4.0: Exchange Commands Between R and ‘JavaScript’

Videos and Podcasts

• Rapid Analysis and Presentation of Quality Improvement Data with R

• Step by Step Guide to Deploy R Shiny App for Free on Shinyapps.io

R Internationally

• {mapchina}: Geospatial shapefile (vector data) of China administrative divisions to the county/district-level

Tutorials

• Demystifying stat_layers in {ggplot2}

• Road Routing in R Comparing three popular routing APIs & their respective R packages: {osrm}, {mapboxapi} and {hereR}.

• Time Series Forecasting: KNN vs. ARIMA

• {usemodels} 0.0.1

• How to Generate a Sequence of Numbers in R with :, seq() and rep()

• Building a Simple Pipeline in R

• Please allow me to introduce myself: Torch for R

• R Package Integration with Modern Reusable C++ Code Using Rcpp - Part 6

• A level 3 menger sponge in R

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

• Free workshop on Deep Learning with Keras and TensorFlow

• New course on preparation and graphing of biological data in R

• Countdown to VirtuEARL2020

• Free workshop on Deep Learning with Keras and TensorFlow - Thursday, 8th of October (13:00 UTC / 15:00 CEST)

• Announcing the 2020 RStudio Table Contest!

• VirtuEARL – EARL Conference online - October 2020

• A list of R conferences and meetings

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

Call for Participation

Your support will keep R Weekly team moving! 💡

Quotes of the Week

My new favorite teaching tool in R is the fabricerin package. Thank you @moh_fodil. pic.twitter.com/gRl0VX4kQZ

— Mine Dogucu (@MineDogucu) October 2, 2020

Do you have a list of author names and need their ORCiDs? New function in scienceverse (check alt text for the code).https://t.co/bUZZdlVpWR pic.twitter.com/sKzgBDugcj

— Lisa DeBruine 🏳️‍🌈 (@LisaDeBruine) September 30, 2020

Multiple source columns - work on #rstats scripts side-by-side!

(Note you can set as many columns as you like!) pic.twitter.com/w8KPaCHIN3

— Tom Mock (@thomas_mock) September 30, 2020