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

{mapchina} 0.1.0

{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

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:

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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

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