R Weekly 2021-W06

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Hello and welcome to this new issue!

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

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

Highlight

• Shiny 1.6: Theming, Caching, Accessibility

• Remote Pair Programming in R Using Visual Studio Code and Live Share

• Lists are my secret weapon for reporting stats with knitr

Insights

• Some thoughts on rstudio::global talks

R in the Real World

• Remote Pair Programming in R Using Visual Studio Code and Live Share

• Lists are my secret weapon for reporting stats with knitr

• An analysis of the CRAN submission queue

• Visualising stock prices and volume by @ellis2013nz

• Gunslingers and Game Managers (American football)

• Word network of Bioconductor packages

R in Organizations

• targets: Democratizing Reproducible Analysis Pipelines

R in Academia

• Network trees: networktree 1.0.0, web page, and Psychometrika paper

Resources

• Learn tidytext with my new learnr course

• Cracking and packing: a simple gerrymander simulation

New Packages

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

CRAN

• {redoc} 2.0.0.49: Generates ‘Redoc’ Documentation from an ‘OpenAPI’ Specification
• {rapidoc} 8.4.3: Generates ‘RapiDoc’ Documentation from an ‘OpenAPI’ Specification
• {ridge} 2.9: Ridge Regression with Automatic Selection of the Penalty Parameter
• {spatstat.linnet} 1.65-3: Linear Networks Functionality of the ‘spatstat’ Package
• {tarchetypes} 0.0.4: Archetypes for Targets
• {cronologia} 0.1.0: Create an HTML Vertical Timeline from a Data Frame in ‘rmarkdown’ and ‘shiny’
• {motif} 0.4.1: Local Pattern Analysis
• {sassy} 1.0.3: Makes ‘R’ Easier for ‘SAS®’ Programmers
• {hockeystick} 0.4.0: Download and Visualize Essential Climate Change Data
• {RcppFastFloat} 0.0.1: ‘Rcpp’ Bindings for the ‘fast_float’ Header-Only Library for Number Parsing

Updated Packages

• Shiny 1.6: Theming, Caching, Accessibility

• {rms} 6.1-1: Regression Modeling Strategies
• {feasts} 0.1.7: Feature Extraction and Statistics for Time Series
• {officedown} 0.2.1: Enhanced ‘R Markdown’ Format for ‘Word’ and ‘PowerPoint’
• {flextable} 0.6.3: Functions for Tabular Reporting
• {bipartite} 2.16: Visualising Bipartite Networks and Calculating Some (Ecological) Indices
• {rgdal} 1.5-23: Bindings for the ‘Geospatial’ Data Abstraction Library
• {spatstat.core} 1.65-5: Core Functionality of the ‘spatstat’ Package
• {targets} 0.1.0: Dynamic Function-Oriented ‘Make’-Like Declarative Workflows
• {duckdb} 0.2.4: DBI Package for the DuckDB Database Management System
• {vitae} 0.4.1: Curriculum Vitae for R Markdown
• {shinyWidgets} 0.5.7: Custom Inputs Widgets for Shiny
• {mlr3proba} 0.3.1: Probabilistic Supervised Learning for ‘mlr3’
• {wrapr} 2.0.7: Wrap R Tools for Debugging and Parametric Programming

Videos and Podcasts

• How to apply check boxes, drop-down fields, and sliders to explore data without Shiny: plotly, crosstalk, and bscols()

Shiny Apps

• A dashboard for estimating house sale prices in Pittsburgh PA. Built with {shiny} and {tidymodels}.

R Internationally

• Être un•e utilisateur•rice de R résilient•e (diapos)

Tutorials

• Removing image backgrounds with magick

• Star Trek: The Next Generation catchphrases

• Simple audio classification with torch

• Forecasting El Niño-Southern Oscillation (ENSO)

• Let’s grow trees - the fast way to create and visualise Decision Trees using {explore}

• Introduction to leaflegend: Map Symbols and Legend Styling for leaflet

• Amazon Athena {dbplyr} Implicit Usage of Presto Functions and Making JSON Casting Great Again

• Adding Football Crests to Scatter Plots in R

• Partisan metrics: some notes

• All You Need To Know About Merging (Joining) Datasets in R

• Levies, Tax and the Fuel Price in South Africa

• How to muffle warnings and to restart (all over)

• Pattern-based spatial analysis in R: an introduction

• How to draw a map of arbitrary contiguous regions, or visualizing the spread of COVID-19 in the Greater Region

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

Jobs

• Data Librarian/Analyst - EcoHealth Alliance

Call for Participation

• 28th Feb: Upcoming Why R Webinar - Efficient computation with R

• 15th Mar: useR2021 Call for Abstracts

• 31st Mar: EARL 2021 Call for Abstracts

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

Quotes of the Week

???? Happy to release tidy.js today on npm. Inspired by the tidyverse and dplyr, tidy.js aims to bring the ergonomics of data wrangling from #Rstats to the js (and typescript) community.

site: https://t.co/faolPmwy8v (+ playground)
repo: https://t.co/eOJnNGelnV pic.twitter.com/cwEYCRb3JB

— Peter Beshai (@pbesh) February 2, 2021

INTERPRETABILITY, ACCESSABILITY, TIDY CODE, GRAPHICS, AESTHETICS, BRANDING, COMMUNICATION, TALKING TO PEOPLE SMARTER THAN YOU , SOCIAL MEDIA IT ALL MATTERS

— Asmae Toumi (@asmae_toumi) February 5, 2021

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